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DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure), • Experience with automated supervision/surveillance/compliance tools $135,000 - $175,000 a yearThe above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process. The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level English proficiency (UK, CA, AU) and a university degree (Bachelor’s or higher)., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You have a Bachelor's in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience with Ruby, hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools, • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Code review experience is a must., • Hackathon or competitive coding experience is a plus., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You have a Bachelor's degree in Computer Science, Software Engineering, or related field., • You have at least 3 years of professional experience with Rust and hands-on experience with Rust testing tools (e.g., cargo test, property-based testing with quickcheck)., • Familiarity with Rust tooling (Cargo, Clippy, rustfmt), module and crate management., • Experience with code review, quality analysis, and identifying/fixing code smells and type issues⁠, • Familiar with test integration in CI/CD environments., • Experience using, integrating, or tutoring others with AI solutions or LLMs in Rust/test automation contexts., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages, • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields, • You have at least 3 years of professional iOS/macOS development experience, • Your level of English is advanced (C1) or above, • Mid-level proficiency in Swift 5.9+, including SwiftUI, Combine, async/await, and the concurrency model, • Hands-on experience with testing frameworks (XCTest, Quick/Nimble) and UI automation testing, • Proficiency with Xcode, Swift Package Manager, and CI/CD tools (Fastlane, GitHub Actions, Xcode Cloud), • Experience with App Store deployment and monitoring tools (Crashlytics, Firebase), • Strong understanding of architectural patterns (MVVM, Clean Architecture) and performance optimization (ARC, Instruments), • Experience integrating AI/ML capabilities (Core ML, Vision, Create ML), • Practical use of AI-assisted tools for code generation, refactoring, and test automation, • Strong skills in crash analysis, memory debugging, and performance profiling, • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level. At , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master's Degree in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience, including hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools., • Your level of English is advanced (C1) or above., • Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases., • Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI), • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments., • Strong skills in defect documentation, profiling, and debugging Ruby applications., • Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt., • Hackathon or competitive coding experience is a plus., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level. At , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master's Degree in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience, including hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools., • Your level of English is advanced (C1) or above., • Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases., • Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI), • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments., • Strong skills in defect documentation, profiling, and debugging Ruby applications., • Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt., • Hackathon or competitive coding experience is a plus., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $60/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages, • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications. • You hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Mobile App Development, Cloud Computing, Data Science, Big Data or other related fields., • You have at least 3 years of professional experience in Java 17+, including streams API and concurrent programming., • Your level of English is advanced (C1) or above., • Hands-on experience with JUnit 5, TestNG, Mockito, and TestContainers., • Proficiency with build tools (Maven, Gradle), IDEs (IntelliJ IDEA), and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)., • Experience with the Spring ecosystem (Spring Boot, Spring Data, Spring Security), JPA/Hibernate., • Strong understanding of JVM internals, garbage collection, performance optimization, and design patterns., • Experience with messaging systems (Kafka, RabbitMQ) and microservices architectures., • Practical use of AI-assisted tools for refactoring, performance analysis, and test generation., • Familiarity with cloud platforms (AWS, Azure), containers, and Kubernetes., • Strong skills in JVM profiling (JProfiler, VisualVM) and debugging., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

About mpathic.ai We are a Series A startup backed by Tier 1 investors including Foundry.vc and Next Frontier Capital. Position Overview Your mission is to become the technical backbone of our go-to-market motion, partnering directly with Sales to win complex enterprise deals and translating customer needs into scalable, production-ready solutions. As our first Solutions Architect, you will operate as a true founding member of the GTM team. You will work side-by-side with our Head of Sales/AEs to drive technical discovery, shape solutions, and de-risk deals across AI safety, evaluation, safety monitoring and human-data workflows. This is a highly customer-facing, pre-sales role. You will engage deeply with ML platform teams, safety/alignment leaders, and data organizations, helping them understand how mpathic integrates into their systems via APIs, human services, and our platform. You will also define how Solutions Architecture works at mpathic: building the playbooks, demos, assets, and patterns that enable us to scale. This is a U.S.-based remote position. Candidates must reside in the United States. Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship. Key Responsibilities Pre-Sales Technical Leadership • Partner directly with the Head of Sales on technical discovery, deal strategy, and solution design across Enterprise and Commercial opportunities., • Lead technical conversations with ML/AI platform teams, safety/alignment teams, and data leaders., • Own technical validation processes including architecture design, POCs, pilots, and security/technical evaluations., • Translate ambiguous customer requirements into clear, executable solution architectures. Solution Design & Architecture • Design end-to-end solutions that integrate mpathic’s platform, APIs, and services into customer AI/ML workflows., • Advise customers on how to implement evaluation pipelines, human feedback loops, red teaming workflows, and annotation systems., • Architect integrations across APIs, data pipelines, and customer infrastructure., • Create reference architectures and reusable patterns for common customer use cases. Hands-On Deal Support • Build lightweight prototypes, scripts, or integrations to unblock deals when needed (e.g., API integrations, dashboard definitions, data flows)., • Customize demos and technical materials to reflect real customer environments and use cases., • Support technical objections, security reviews, and procurement processes with confidence. 0→1 Function Building • Define the Solutions Architect role at mpathic, including engagement model, tooling, and success metrics., • Develop repeatable playbooks for discovery, technical validation, and solution design., • Create scalable assets such as demo environments, architecture diagrams, and integration templates., • Partner with Sales, Product, and Engineering to ensure tight alignment across the customer lifecycle. Market Insight & Cross-Functional Impact • Act as the voice of the customer to Product and Engineering, shaping roadmap and prioritization., • Maintain deep knowledge of the AI ecosystem, particularly AI safety, evaluation, RLHF, and human-in-the-loop workflows., • Help refine positioning and messaging based on real customer interactions., • Represent mpathic.ai in technical discussions with customers and at industry events. Qualifications Candidates must reside in the United States and be currently authorized to work in the United States on a full-time basis. Required Experience • 7+ years of experience in Solutions Architecture, Sales Engineering, or similar customer-facing technical roles., • Experience as a first or early Solutions Architect at a startup, with a track record of building from zero-to-one., • Strong experience supporting enterprise SaaS sales, particularly API-first or platform products., • Proven success working with ML/AI platform teams, data organizations, or developer-focused buyers., • Experience driving complex, technical, multi-stakeholder sales cycles., • Familiarity with AI safety, evaluation, RLHF, red teaming, or human-in-the-loop data workflows. Technical Skills • Strong understanding of APIs, system integrations, and modern SaaS architectures., • Comfort working with data pipelines, analytics layers (e.g., tools like cube.dev), and ML/AI workflows., • Ability to build lightweight prototypes, integrations, or technical assets to support deals., • Familiarity with cloud environments and deploying or integrating technical solutions. Skills & Attributes • Customer-facing technical leader who enjoys being in the deal and influencing outcomes., • Strong translator between technical teams and business stakeholders., • Comfort operating in ambiguity and building structure from scratch., • High ownership mindset with a bias toward action., • Deep curiosity about AI safety, alignment, and high-quality human data systems. Success Metrics • Improved win rates and deal velocity through strong technical partnership with Sales., • Successful technical validation of enterprise opportunities (POCs, pilots, integrations)., • High-quality solution designs that lead to successful customer adoption and expansion., • Repeatable technical playbooks for pre-sales and solution architecture., • Strong trust and credibility with customer technical stakeholders. Why Join mpathic.ai? • Shape the future of AI safety and human-centered model alignment., • Work directly with leading AI builders, enterprise innovators, and safety teams., • Define and build the Solutions Architecture function from the ground up., • Join a mission-driven team focused on enabling safer, more emotionally intelligent AI systems. Compensation and Benefits • Competitive base salary with uncapped earnings potential, • Equity, • Company-funded health, dental, and vision insurance, • 401k with 4% company match, • Well-being programs, • Flexible paid time off, • Mission-driven work solving AI Safety challenges IMPORTANT – How to Apply We can only accept and review applications via our direct official recruiting portal: https://mpathic2.bamboohr.com/careers, due to the abundance of 3rd party apps and automated agents. Only applications submitted directly by the applicant through our portal will be considered.

Figma is growing our team of passionate people on a mission to make design accessible to all. , Figma helps entire product teams , design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come _ with us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. • Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features., • Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows., • Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance., • Work with product engineers to define and deliver impactful AI features across Figma’s platform., • Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment., • Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma., • 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI., • Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring., • Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost., • Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality., • Experience mentoring or leading others and contributing to a culture of technical excellence and innovation., • Familiarity with search relevance, ranking, NLP, or RAG systems., • Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows., • Experience working on creative or design-focused ML applications., • Knowledge of additional languages such as C++ or Go is a plus, but not required., • A product mindset with the ability to tie technical work to user outcomes and business impact., • Strong collaboration and communication skills, especially when working across functions (engineering, product, research). At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

Spotify is hiring a Full Stack Engineer to join the Spotify Advertising Team. We are hiring on our Ads Data Store and CareML squads. Our teams are responsible for building and maintaining critical systems that power advertising data, brand safety, content review, and AI-driven ad experiences across Spotify. We are looking for engineers who are motivated by user and business problems as much as technical challenges, and who enjoy ambiguity, brainstorming, experimentation, and iteration. You will collaborate closely with engineers, product managers, designers, business partners, and leadership to build impactful solutions for Spotify listeners, advertisers, and creators. • Build, maintain, and evolve backend services and APIs that support advertising data platforms, content and ad categorization, and AI-powered initiatives., • Lead development on front-end products owned by the squad, including tools for moderation, review, and advertiser-facing workflows., • Build and support an annotation application that allows moderators to flag sensitive podcast content, enabling trust and safety at scale., • Deliver UX optimizations that improve ad and content review efficiency and effectiveness., • Develop interfaces that allow advertisers and internal users to interact with AI-powered creative and categorization systems., • Collaborate with engineering squads across Spotify to provide high-quality data solutions, shared knowledge, and best practices., • You are an experienced Full Stack Engineer with 5+ years of professional experience, • You have experience building and maintaining APIs and services at scale., • You have strong experience with Java and Spring, • You have strong experience with JavaScript. Additional experience with tools and technologies such as ReactJS, NodeJS, NextJS, and GraphQL are a plus., • You have some experience with data engineering concepts and tools (e.g., Scala, large-scale data pipelines)., • You have experience with GCP, distributed systems, machine learning platforms, or generative AI integrations, • You have a strong grasp of design patterns, data structures, and distributed and web architectures., • You care deeply about observability, reliability, and quality, and you apply engineering best practices including testing automation., • You have experience leading or contributing to large codebase refactors, including microservices or micro-frontend architectures., • You are autonomous, take ownership of your work, and actively drive your personal growth., • You value team success over personal success and enjoy uplifting and mentoring other engineers., • You are a strong communicator and empathetic collaborator who can anticipate partner needs and work effectively across disciplines., • We offer you the flexibility to work where you work best! For this role, it can be within the _ region in which we have a work location., • This team collaborates across the Eastern Standard time zone, Pacific Standard time zone, and Australian Eastern time zone.The United States base range for this position is $132,949.00 - 189,927.00 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! This is a rare opportunity to lead foundational work at the intersection of large-scale pretraining and embodied AI. You’ll shape how Wayve curates and experiments with data to pretrain the next generation of multi-modal foundation models for autonomy. Working at the frontier of a still-undefined field, you’ll collaborate with research and engineering teams to define what “good data” looks like for embodied systems — and work with engineering teams to build the infrastructure to scale it. Your work will directly influence the performance, generalization, and capabilities of Wayve’s AI stack. Key responsibilities: • Lead data curation, enrichment, and filtering efforts for large-scale pretraining of embodied models, • Build and manage distributed data processing and ingestion pipelines across modalities, • Partner with research teams to run data-centric experiments and influence model training strategy, • Identify, integrate, and leverage third-party datasets to enhance pretraining and evaluation, • Manage and mentor a team of engineers and data scientists to deliver scientific and technical impact In order to set you up for success as a Tech Lead / Tech Lead Manager at Wayve, we’re looking for the following skills and experience: • Leadership in data-centric AI: Experience leading research or engineering teams focused on dataset curation, filtering, or enrichment at scale, particularly for large-scale model pretraining., • Contributions to data benchmarks or tools: Involvement in projects like DataComp, LAION, DINO, MOLMO, or equivalent initiatives that define or evaluate pretraining dataset quality., • Deep understanding of distributed data processing: Strong working knowledge of frameworks such as Ray, Spark, Dask, or equivalent, and designing scalable, fault-tolerant data pipelines., • Hands-on deep learning expertise: Strong proficiency in PyTorch and a solid grasp of how data quality, distribution, and structure impact training dynamics and model generalisation., • Experimental mindset: Demonstrated ability to run and interpret data-centric experiments (e.g., small-scale trials, ablations) to inform large-scale model training., • Collaboration with research: Experience working closely with ML researchers and contributing to experimental design, pretraining strategies, or evaluation design., • Minimum 5 years of relevant industry experience: Including at least several years in data-heavy, model-driven environments involving deep learning at scale., • Track record of research impact: Publications in top-tier conferences such as NeurIPS, ICML, CVPR, ICCV, CoRL, or equivalent, especially in data-centric learning, representation learning, or self-supervised learning., • People management experience: Track record managing ~5 direct reports in a research or research-leaning engineering environment; skilled in team development, prioritization, and technical alignment., • Experience with multi-modal or embodied systems: Familiarity with datasets involving video, language, lidar, radar and generally sensor fusion or embodied perception and control., • Tooling and infrastructure know-how: Familiarity with modern data versioning, annotation, and orchestration tools (e.g., Weights & Biases, ClearML, Labelbox, Airflow, Metaflow, etc.)., • Autonomous systems exposure: While prior AV or robotics experience is not required, a demonstrated interest in embodied intelligence or real-world agent learning is a plus., • Systems thinking and data-product intuition: Ability to reason about upstream data decisions and their downstream effects on models, infrastructure, and product goals., • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The Company SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the _. Senior Director of Customer Success SuperAnnotate is seeking a strategic and experienced Senior Director of Customer Success. This is a critical leadership role, responsible for scaling and evolving our customer success strategy, building a high-performing team, and delivering exceptional value to our enterprise software customers across cutting-edge AI domains—including large language models (LLM), computer vision (CV), and natural language processing (NLP). You will report directly to the executive team and partner cross-functionally with Product, Sales, Marketing, and Engineering to ensure our enterprise customers achieve their desired outcomes with SuperAnnotate. The ideal candidate is a strong leader with a customer-first mindset, exceptional communication skills, and a proven track record of building scalable success programs for enterprise accounts in B2B SaaS organizations. What You’ll Do- Define and execute the company’s Customer Success strategy in alignment with company goals, driving customer adoption, retention, and expansion.- Serve as a strategic advisor to key customers and executive stakeholders, ensuring they derive maximum value from SuperAnnotate's solutions.- Grow and expand existing accounts by deeply understanding customer pains, customer org structures, and our product. - Collaborate with Sales, Product, and Marketing to drive customer onboarding, training, renewals, and expansion efforts.- Develop and standardize key success metrics and use data to continuously improve performance.- Design and implement scalable customer programs such as QBRs, standardized onboarding, customer advisory boards, and others.- Build, lead, and mentor a high-performing team of US Based Customer Success Managers and related roles- Act as the voice of the customer, influencing product roadmap and company strategy.- Own forecasting and reporting on customer health, churn risk, and growth opportunities to the leadership team. What We’re Looking For- 8+ years of experience in Customer Success, Account Management, or related functions, with 3+ years in a senior leadership role.- Experience in B2B SaaS, preferably in AI/ML or developer-focused platforms.- Deep understanding of the AI/ML, Cloud, and Data ecosystem. - Strong understanding of Generative AI ecosystem and ML Platforms.- Strong ability to prospect into existing accounts, understand organizational structures, and identify areas for growth- Strong cross-functional collaboration skills with experience influencing at all levels of an organization.- Excellent communication, storytelling, and executive presentation skills.- Proven ability to scale teams, develop repeatable processes, and deliver measurable customer impact.- Bachelor's degree in Engineering, Computer Science, or a related field is a plus; MBA or advanced degree is also plus.- Nice to Have: Based in the Bay Area with the ability to work from the office 2-3 times per week. For candidates outside the area, monthly travel to the office is expected. Why SuperAnnotate?SuperAnnotate is a leading innovator in AI, LLMs, and data pipeline solutions for machine learning and generative AI. We provide best-in-class infrastructure for frontier model providers and empower enterprises to accelerate their AI initiatives. Our platform is highly rated on G2 and trusted by top AI-driven organizations.$160,000 - $200,000 a yearOnly shortlisted candidates will be contacted for an interview! What you'll have with us • Attractive base salary with significant stock options offering an ownership stake in the company’s success. - Comprehensive health, dental, and vision insurance plans.- 401(k) retirement plan - Flexible paid time off, holidays, and parental leave policies- Opportunity to shape the future of a cutting-edge technology company. - Access to ongoing training and professional development opportunities- Referral Program EqualOpportunity We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.

We accept native or highly fluent Danish speakers. For the complete list of accepted locations, _. This work is 100% remote. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: _ You’ll join an expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We seek software engineers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! Evaluating the quality of AI-generated code, including human-readable summaries of your rationale Solve coding problems, writing functional and efficient code Writing robust test cases to confirm code works efficiently and effectively We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from "Which piece of Python code is better?" to "Make a full mobile application using this chatbot, and improve the chatbot's responses afterward to make it faster." Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Long term, there is no end date. They expect to have work for the next 2 years. You can end the contract at any time. We hope you will commit to 12 months of work, but if you start and it's not a fit for you, we totally understand. Developers can set their own hours—ideal candidates will be interested in spending 40 hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but they will also be incredibly flexible on working hours. You can take a 3-hour lunch, no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You'll receive credentials to the RLHF platform. We'll then set up a group call to answer any further questions about onboarding with the company. You'll perform a simulated production-level task (RLHF task) on the platform. This will be your final interview, which will ultimately determine your employment and leveling. Successful completion of this process provides you with an opportunity to work on projects as they become available. The current priority for this team is engineers with either a Data Science background who know Python well or software engineers who are well-versed in Python. 3+ years of experience in a software engineering/software development role. Complete fluency in the English language. Ability to articulate complex scientific concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Proficiency with Python Bachelor's or Master’s degree in Computer Science Proficiency in working with one or more of the following: Java, JavaScript, TypeScript, C++. SQL, Swift, Ruby, Rust, Go, NET, Matlab, PHP, HTML, DART, R, Apex, and Shell, C, C# Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing!

DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule.This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-ti

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in German, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Academic Research Collaborator - Professors & PhDs Type: Contract Compensation: $80–$110/hour Location: Remote Role Responsibilities • Design challenging, real-world domain-specific problems in areas like financial modeling, legal reasoning, econometrics, ML, and coding. Focus on addressing core capability loss failures in frontier AI models., • Integrate problems into an Agentic development environment using Python. Prepare all necessary components for robust task execution., • Evaluate the target model's performance on designed tasks. Analyze outcomes to improve model reasoning and outputs., • Identify tasks where the model fails to pass tests. Classify failures as logical reasoning issues to guide future improvements., • Collaborate with domain experts to enhance AI model training and ensure task relevance and accuracy. Qualifications Must-Have • Current or retired professor, or PhD student, in STEM or professional/quantitative domains., • Degree or PhD in progress from a top university., • Working proficiency in Python applied in research, industry, GitHub, or coursework., • Ability to engage reliably for 30+ hours/week during weekdays., • Basic ability to work independently and manage time effectively., • Strong verbal and written communication skills. Preferred • Past experience in AI training, model evaluation, and data annotation. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Spanish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Swedish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Croatian, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones. With an engineering-first culture, ACS values technical excellence and continuous learning. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact. Position Overview: We are seeking a Data Platform Engineer who combines expert-level data infrastructure skills with a strong knowledge of AI & Machine Learning principles. In this role, you will go beyond simple data validation scripts; you will apply your understanding of model training dynamics to design and implement existing and novel approaches to optimize our datasets. You will build and maintain large-scale image and video pipelines, but with a focus on data curation strategies—such as coreset selection, embedding-based filtering, and automated complexity scoring. You’ll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but strictly optimized to maximize model performance. What You’ll Do: Design and develop a scalable data infastructure, focusing on organization and curation to support continuing increases in data volume and complexity Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering). Support the data infrastructure required for optimal ingestion, transformation, and storing of datasets Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models. Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization. Coordinate collection of real-world data; coordinate label creation and QA with labelers. Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation. Implement and own dataset versioning, release management, and lineage and metadata cataloging. What You’ll Need: 3+ years of experience in data engineering or equivalent fields. Solid understanding of data structures and systems design for orchestrating data-related workflows in a rapidly growing environment. Proficient in using AWS for data management and processing. Proficient in Python for scripting and data processing; proficient with SQL and Linux. Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field. Proven ability to communicate well across engineering teams, and write and maintain effective documentation. You’ll Stand Out: 5+ years of industry experience. Experience in image/video data engineering for computer vision projects. Experience with PyTorch DeepCore. Experience with Unreal Engine. What We Offer: Competitive salary ACS Equity Package Health, Dental, Vision Insurance Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Why CCI? CCI Systems, Inc. is an Employee-Owned Telecommunications Company based in Iron Mountain, MI with 60+ years of industry knowledge and experience. Our outstanding team-based work culture and environment has allowed us to grow, develop, and retain long-term employees. We offer a comprehensive benefits package, competitive pay, flexibility, paid on the job training, overtime, professional development, and inspire you to be bold, yet accountable. We value our employees’ hard work and determination and REWARD results all while having fun! Our mission is to make life better by connecting people through innovative communication systems. We are seeking a Permit Supervisor (Drafting) who plays a critical role in managing the permitting workflow and ensuring compliance with all applicable Federal, State, County, and Local regulations. This role requires advanced expertise in AutoCAD principles and standards, as well as Rights-of-Way permitting. The Supervisor is expected to lead the technical and administrative processes involved in the acceptance, preparation, drafting, review, and approval of permit drawings, supporting efficient and compliant project execution. Responsibilities • Oversee daily operations of the CAD team, including workload allocation, priority setting, and one-on-one meetings., • Provide constructive feedback, conduct performance evaluations, and create career development plans., • Lead hiring, onboarding, and team-building initiatives to foster a high-performing culture., • Develop, document, and enforce CAD standards covering layers, naming conventions, annotations, plotting protocols, and file structures., • Maintain the CAD Standards Manual and conduct regular audits to ensure compliance., • Implement drawing checklists, redlining/review cycles, and approval workflows to ensure accuracy and consistency., • Ensure compliance with industry standards such as NCS, ISO 128, and ASME Y14.5., • Identify process inefficiencies and apply lean methodologies and process mapping for continuous improvement., • Lead automation efforts using tool palettes, LISP routines, sheet set workflows, and custom macros., • Strategically plan resources and estimate drafting hours to align with project timelines., • Monitor KPIs such as on-time delivery, rework rates, and first-pass approval; implement corrective actions as needed., • Collaborate with engineers, architects, and project managers to align scopes, resolve design conflicts, and manage changes., • Maintain accurate drawing revisions and change logs for stakeholder visibility., • Curate and maintain standardized blocks, dynamic blocks, detail libraries, templates, and plot styles., • Ensure version control and accessibility of shared content across teams and locations., • Develop and deliver training programs, lunch-and-learns, SOPs, and reference materials to upskill the team., • Provide advanced CAD support and coordinate with IT to resolve technical issues., • Define structured project folders, naming conventions, archiving protocols, and backup/versioning practices., • Manage data integrity and access permissions within PDM/CDE environments., • Plan and coordinate software upgrades (e.g., AutoCAD), licensing, and feature testing., • Perform other related duties as assigned by management. Qualifications • 6+ years of professional CAD drafting/design experience, including 2+ years in a lead or supervisory role managing CAD teams and workloads., • Expert-level AutoCAD proficiency: dynamic blocks, xrefs, Sheet Set Manager, fields, parametric constraints, paper/model space best practices, and CTB/STB plotting., • Proven CAD standards development and enforcement: templates, layers/naming per NCS or equivalent, annotation styles, title blocks, and periodic standards audits., • Strong QA/QC capability: drawing checklists, redline/review workflows, approval gates, and familiarity with relevant codes/standards (e.g., ISO 128, ASME Y14.5/GD&T), • Automation/customization skills: AutoLISP/macros, and/or .NET/C#/Python scripting for tooling, batch routines, and productivity improvements., • Working knowledge of adjacent platforms and interoperability: Revit, Civil 3D, Plant 3D, Navisworks, IFC/DGN/DWG exchange, and coordinate systems., • Document and data control expertise: versioning, naming conventions, libraries (blocks/details), and experience with PDM/EDMS tools (e.g., Autodesk Vault, ProjectWise), • People leadership and coaching: onboarding, mentoring, performance feedback, conflict resolution, and running stand-ups and 1:1’s., • Project management fundamentals: scoping CAD tasks, estimating hours, scheduling, prioritizing multi-project pipelines, and managing change control., • Clear communicator with strong stakeholder skills: cross-discipline coordination with engineering/field teams, and ability to author SOPs, training materials, and reports for leadership. Shift is full-time Monday – Friday between the hours of 8:00 am – 5:00 pm PST. Must be flexible and willing to work outside normal business hours as necessary. Benefits: healthcare, retirement, paid leave (e.g., sick leave, PTO, company holidays), life insurance, AD&D, short-term disability, FSA, education reimbursement, wellness reimbursement, and employee assistance program (EAP).

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Finnish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Czech, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Hungarian, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in French, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. Level: Manager Compensation: $110,000 – $140,000 Location: San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation — delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine — responsible for ensuring our clients get the highest-quality data on time, every time. This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery — and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard — this is the role for you What You'll Do The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high — and that's the point. • Lead and manage a team of Strategic Project Leads (SPLs) across multiple high-stakes AI data projects simultaneously, • Own delivery outcomes for your projects: throughput, quality, SLA performance, cost efficiency, and customer satisfaction, • Drive delivery across custom data pipelines and expert labeling workflows, translating researcher requirements into clear operational plans, • Collaborate with AI lab researchers and procurement partners to define data strategies, scope programs, and resolve escalations, • Drive systems-level improvements — standardize playbooks, improve tooling, and build infrastructure that makes the team faster and more reliable at scale, • Coach and develop SPLs; ensure high-quality AI Trainer experience and strong contributor retention, • Partner with Product and Engineering to evolve internal tooling, automation, and operational systemsRequired Qualifications, • 5+ years in operationally intensive roles (marketplace, data ops, logistics, or similar), • 1+ year of people management with clear impact on team performance, • Metrics-driven with a systems-thinking approach to operations, • Experience owning delivery outcomes across multi-stakeholder, high-velocity projects, • Hands-on operator willing to dive into execution when needed, • Must be proficient in using LLMs in your every day work, including building scripting logic and working with large datasets with LLM assistancePreferred Qualifications, • 1+ year in AI data operations (RLHF, annotation, model evaluation), • STEM background or strong technical fluency, • Python & REACT working knowledge, • Experience managing distributed contributor workforces at scale, • Background in management consulting, investment banking, or high-growth startups HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Polish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.