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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: Professors in Finance, Accounting, Law Type: W2 Employment Compensation: $55–$85/hour Location: Remote Commitment: 30+ hours/week Role Responsibilities • Design challenging, real-world domain-specific problems for agentic tasks. Target core capability loss failures in frontier AI models., • Integrate problems into an Agentic development environment using Python. Prepare detailed instructions, overviews, and golden solutions., • Evaluate cross-model performance on tasks. Analyze and classify failures as logical reasoning gaps., • Identify tasks where the model fails all tests. Extract core capability loss patterns from agent trajectories. Must-Have • Current or retired professor in Finance, Accounting, Law, etc., • Degree in finance, accounting, law, or relevant field., • Ability to engage reliably for at least 30 hours/week during weekdays., • Basic ability to work independently and manage time., • Upload resume, • AI interview based on your resume

Job DescriptionContractRemoteRole Description As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the worlds largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the worlds premier AI models used by millions of developers worldwide. Your Profile • Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field., • 4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications., • Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL., • Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management., • Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools., • Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines., • Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability., • Comfort working with version control, CI/CD workflows, and automated testing frameworks in modern C++ projects., • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus., • Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in complex C++ code.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job Description Pangram Labs is hiring a data entry and annotation specialist to source, collect, format, and label training data for our best-in-class AI detection model. You’ll help build high quality datasets that power our machine learning models by organizing and labeling data. You will have the opportunity to learn from AI researchers and engineers and contribute to a cutting-edge AI research project. Job roles and responsibilities include: • Source and collect data from the internet for evaluation sets and training datasets, • Copy and organize information from the web into spreadsheets and our internal labeling website, • Label and annotate data using browser based tools, • Research and identify leads and relevant data points based on project requirements, • Follow annotation guidelines and maintain quality standards across data entries, • Flag inconsistencies, edge cases, or ambiguous data for review Requirements • Strong attention to detail and ability to maintain accuracy over repetitive tasks, • Proficiency with spreadsheets and web browsers, • Comfortable navigating the Internet with a web browser, • Ability to follow detailed instructions, • Reliable internet connection and quiet workspace Nice to have • Previous experience with data entry, transcription, or annotation, • Familiarity with AI or Machine Learning concepts What we offer • In person in Downtown Brooklyn 5 days/week, • Flexible hours

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: Legal Reasoning Problem Author Type: Contract Compensation: $55–$135/hour Commitment: ~15 hours/week Role Responsibilities • Review and annotate U.S. court opinions and legal filings sourced from CourtListener., • Apply legal judgment to evaluate case outcomes, reasoning quality, and document classification., • Complete structured tasks with consistency and accuracy., • Support the development of AI systems trained on legal reasoning and judicial language. Must-Have • 3+ years of professional experience practicing law at a law firm, in-house legal department, government agency, or legal research organization., • Hold a J.D., LL.M. or equivalent legal degree from a top U.S. university., • Experience with U.S. federal or state court systems., • Prior experience in legal data annotation or AI/ML projects., • Upload resume, • AI interview based on your resume

Job Description Summary The Project Coordinator supports the successful execution of client and internal projects by managing administrative workflows, tracking progress against deadlines, coordinating schedules, and ensuring clear communication across teams. This role requires strong organizational skills, attention to detail, and the ability to collaborate effectively with stakeholders at all levels. Key Responsibilities Project Coordination & Administration • Assist in coordinating project schedules, meetings, and timelines., • Track deadlines and ensure all deliverables remain on schedule., • Monitor team progress and flag risks or delays as needed., • Support client‑facing activities, including communication and follow‑up., • Prepare project documentation, status updates, and planning materials., • Manage capacity planning and resource tracking across workstreams., • Support vendor coordination and communication., • Assist in identifying and resolving issues within internal tools or workflows., • Maintain precise, structured communication with internal stakeholders and leadership., • Previous experience in project coordination or program support., • Strong communication and stakeholder‑management skills., • Experience with data annotation workflows or operations., • Demonstrated ability to track multiple workstreams and manage detailed project information., • Ability to work effectively in a team environment and build strong cross‑functional relationships., • Proficiency with standard computer applications and an interest in learning new tools., • Experience with SQL queries., • Background in data annotation organizations or workflows. A typical day includes a blend of capacity planning, stakeholder communication, vendor coordination, and issue resolution within internal tools. The Project Coordinator will track program metrics, support operational workflows, communicate updates to leadership, and ensure all project activities remain aligned with timelines and expectations. Location: Remote (EST preferred, must be located in the United States) Role type: Contract 6 Month Position Expected hours: 40 per week Benefits: • Dental insurance, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Retirement plan, • 8 hour shift, • English (Required)

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: Gastroenterologist Type: Contract Compensation: $150–$200/hour Location: Preferred in person (SF) Commitment: Up to 10 hours/week Role Responsibilities • Review and label clinical narratives, EHR notes, endoscopy reports, imaging findings, and case data related to gastrointestinal and hepatobiliary conditions., • Identify and validate diagnoses, diagnostic workups, procedural findings, treatment plans, and outcomes such as IBD, GI bleeding, liver disease, and malignancies., • Audit annotated datasets for clinical accuracy and guideline alignment with AGA, ACG, and AASLD., • Evaluate AI-generated recommendations for diagnostic evaluation, medical management, and procedural interventions., • Define annotation guidelines for complex GI conditions like inflammatory bowel disease, cirrhosis complications, and pancreatic disorders. Must-Have • MD or DO with Gastroenterology specialization, • Board-certified or board-eligible in Gastroenterology, • Active U.S. medical license in good standing, • 5+ years of post-fellowship clinical experience, • Experience with endoscopy, inpatient consults, and complex GI/hepatology cases, • Upload resume, • AI interview based on your resume

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: Data Collection Specialist Type: Contract Compensation: $100/hour Location: Remote Commitment: 20+ hours/week Role Responsibilities • Record screen sessions demonstrating specific tasks with clear verbal narration for each step., • Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements., • Follow provided staging instructions to set up specific UI states prior to recording., • Use a custom capture tool to record workflows accurately and consistently., • Adhere closely to task guidelines to ensure data quality and usability. Must-Have • Strong familiarity with professional software tools including Word, PowerPoint, and Excel., • Detail-oriented with the ability to follow precise instructions., • Comfortable working independently and meeting tight deadlines., • Access to a physical Mac and ability to create a fresh macOS user profile if required., • Prior experience with data collection, annotation, or QA work., • Experience recording or documenting workflows., • Upload resume, • AI interview based on your resume

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: Product Operations Specialist (Technical + LLM) Type: Contract Compensation: $60–$80/hour Location: Remote Role Responsibilities • Support program execution strategy for multiple products and platforms. Kickstart 0 to 1 efforts, accelerate execution, and improve quality/outcomes via programmatic and technical solutions., • Write and optimize SQL queries to collect, transform, and analyze product data. Identify trends, patterns, and insights that inform business decisions., • Build and maintain dashboards, reports, and visualizations using tools like Google Sheets. Communicate findings to stakeholders and support real-time decision-making., • Leverage AI agents and tools to accelerate data analysis, automate repetitive tasks, and prototype solutions., • Identify program risks proactively. Develop data-backed mitigation plans and communicate updates clearly across cross-functional teams. Must-Have • 8+ years of relevant experience in consulting, strategy, operations, or equivalent program management., • Proficient in SQL. Able to write advanced queries including CTEs, window functions, joins, aggregations, and data transformations., • Experience with AI agents and AI-assisted workflows. Comfortable prompting and iterating with AI tools., • Expert-level proficiency in Google Workspace, especially Google Sheets. Able to create detailed documentation, complex formulas, pivot tables, and automated workflows., • Strong multi-tasking abilities. Experience managing multiple workstreams simultaneously., • Self-starter mentality. Able to work independently and drive projects forward without close supervision., • Eager to learn new tools, technologies, and domains quickly. Adapts to changing technical requirements., • Effective critical thinking. Experience leveraging data to anticipate and unblock problems., • Proven time-management and organizational skills., • Experience with VS Code or similar development environments., • Experience with low-code/no-code prototyping or AI-assisted code generation., • Experience building dashboards and data visualizations using tools like Tableau or Looker., • Familiarity with data pipelines, ETL processes, or data infrastructure concepts., • Experience working with engineering teams on technical specifications and requirements., • Background in quality assurance, triage operations, or ML/AI validation workflows., • W-2 employment through Cincinnatus., • Hourly contractor., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionContractRemoteRole DescriptionAs a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the worlds largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the worlds premier AI models used by millions of developers worldwide.Your Profile • Bachelors degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field., • 4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications., • Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging., • Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization., • Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development., • Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines., • Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases., • Comfort working with version control, CI/CD workflows, and automated testing for C projects., • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus., • Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in low-level code.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

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: Professor in STEM Domains Type: W2 Employment Compensation: $55–$85/hour Location: Remote Commitment: 30+ hours/week Role Responsibilities • Design challenging, real-world domain-specific problems for agentic tasks. Target core capability loss failures in frontier AI models., • Integrate problems into an Agentic development environment using Python. Prepare detailed instructions, a golden solution, and consult with domain experts., • Evaluate cross-model performance on tasks to identify logical reasoning failures., • Identify tasks where the target model fails all tests. Classify failures as logical reasoning issues. Must-Have • Current or retired professor within STEM, including ML, coding, data science., • Degree in Computer Science, Data Science, or relevant STEM field., • Ability to engage reliably for at least 30 hours/week during weekdays., • Basic ability to work independently and manage time., • Upload resume, • AI interview based on your resume

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: Data Annotation Specialist Type: Contract Compensation: $23–$30/hour Commitment: 20 hours/week Role Responsibilities • Synthesize information from large volumes of data to enhance AI model performance., • Annotate and categorize text, images, and other data according to detailed guidelines., • Apply predefined rubrics and taxonomies to produce structured, high-quality outputs., • Flag inconsistencies, ambiguities, or errors in datasets to improve data quality. Must-Have • Ability to synthesize complex or high-volume information into structured formats., • Strong critical reasoning, reading comprehension, and written communication skills., • Submit your resume to begin.

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: Data Collection Specialist Type: Contract Compensation: $100/hour Location: Remote Commitment: 20+ hours/week Role Responsibilities • Record screen sessions demonstrating specific tasks with clear verbal narration for each step., • Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements., • Follow provided staging instructions to set up specific UI states prior to recording., • Use a custom capture tool to record workflows accurately and consistently., • Adhere closely to task guidelines to ensure data quality and usability. Must-Have • Strong familiarity with professional software tools including Word, PowerPoint, and Excel., • Detail-oriented with the ability to follow precise instructions., • Comfortable working independently and meeting tight deadlines., • Access to a physical Mac and ability to create a fresh macOS user profile if required., • Prior experience with data collection, annotation, or QA work., • Experience recording or documenting workflows., • Upload resume, • AI interview based on your resume

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong partners. As a member of our Customer Engagement team, you'll be accountable for establishing deep customer relationships, driving revenue, hitting SLAs, and maintaining the quality standards that power breakthrough AI applications. You will work closely with HumanSignal's enterprise customers and frontier labs, driving end-to-end engagements from new projects and pilots, owning account execution, working cross-functionally to ensure our Label Studio platform and Data Creation Laboratory services are delivered consistently and on-time, and driving account growth. You are the primary contact between HumanSignal and our customers, working with and advocating for data leaders and engineering/operations teams who are pushing the boundaries of what's possible with AI. You have a strong interest in how purpose-built, human-created data can unlock novel AI capabilities. Your bias is towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver excellence. You have a track record of managing customers to renewal, forecasting with precision, and supporting sales teams in driving expansion. And you are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions. Within HumanSignal, you will work cross-functionally with Operations, Product, Sales, and our Data Creation Laboratory teams as the primary customer operations advocate. The blend of operations and customer management to drive our most important outcomes makes this a unique and exciting role at the heart of HumanSignal's mission to harness human intelligence to power the future of AI. The ideal candidate is customer-driven, analytical, empathetic, outcome-focused, and above all someone who drives and inspires results. You Will: • Build and drive critical operational processes: the consistent, on-time delivery of Label Studio platform capabilities and Data Creation Laboratory services, and revenue growth for our customers, • Build and oversee operational levers with a relentless focus on SLA achievement and quality improvement, • Review, track, and improve operational performance with an obsession for continuous improvement, • Oversee onboarding and successful implementation for new customer projects, • Manage the long-term health of customers by identifying and preempting areas of risk or concern, • Partner with clients to understand operational issues and advocate for solutions with HumanSignal engineers, • Work directly with customers' engineering teams, partnering with customer-facing engineers and technical account managers, • Answer questions and address issues related to our platform, APIs, and data services, • Create an effective feedback loop between frontline operations, product teams, strategy, and customers, • 4-9 years of total work experience, with experience in consulting or technical program management roles, • Associate / Senior Consultant / Engagement Manager experience at a top-tier consulting firm, • A technical background (education or professional experience with CS, Economics, Statistics, Engineering), • A proven track record in B2B client-facing roles and expanding client relationships, • Ability to understand APIs, ML workflows, and data operations, and build great relationships with technical customers, • Excellent cross-functional collaboration skills, • Outstanding verbal and written communication abilities, • A track record of structured, analytics-driven problem solving, • A history of diligence and organization across multiple work streams, • An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results, • Strong analytical, planning, and process improvement capabilities, • Prior experience at an API-driven technology company and/or managing technical customers, • Experience with data annotation, labeling platforms, or ML operations At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Schedule: Flexible (Project-Based) Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of conversational AI systems. In chemistry-related contexts, AI systems must demonstrate: * Accurate mechanistic reasoning * Quantitative precision * Strong command of chemical theory and application This role focuses on evaluating and improving how AI models reason about, explain, and communicate chemistry concepts across foundational and advanced topics. Key Responsibilities * Write and refine prompts to guide AI model behavior in chemistry contexts * Evaluate AI-generated responses for: * Scientific accuracy * Mechanistic correctness * Quantitative reasoning * Conduct fact-checking using authoritative sources and domain expertise * Annotate responses by identifying: * Strengths * Weak reasoning * Conceptual inaccuracies * Assess explanation clarity and structure for different audience levels * Ensure responses align with conversational guidelines and evaluation standards * Apply structured taxonomies, benchmarks, and detailed review frameworks Required Qualifications * PhD in Chemistry or a closely related field Deep expertise in one or more of the following domains: * Organic Biological Chemistry * Inorganic Materials Chemistry * Physical Theoretical Chemistry * Analytical Instrumental Chemistry Additional Requirements: * Significant experience using large language models (LLMs) * Strong understanding of how LLMs are used and where they fail * Excellent technical writing and explanation skills * Exceptional attention to detail * Experience reviewing or editing academic or technical writing Nice-to-Have Qualifications * Experience with RLHF, AI model evaluation, or data annotation * Teaching or mentoring experience * Familiarity with structured evaluation rubrics or benchmarking systems What Success Looks Like * You identify subtle inaccuracies or weak reasoning in chemistry outputs * Your feedback improves scientific rigor and clarity * You deliver reproducible evaluation artifacts * AI systems become more reliable in chemistry-related applications Why Join * Apply PhD-level expertise to frontier AI development * Contribute to high-impact AI research beyond traditional academic roles * Flexible schedule with project-based autonomy * Competitive compensation aligned with expertise Contract Payment Terms * Independent Contractor engagement * Fully remote with flexible working schedule * Project-based work (may be extended or concluded based on needs and performance) * Weekly payments via Stripe or Wise * Unable to support H1-B or STEM OPT candidates at this time

Job DescriptionCompany Description An enterprise client in the AI/LLM space is seeking highly qualified finance professionals to support a short-term project focused on reviewing and structuring complex financial information. This initiative contributes to improving the accuracy and reliability of financial data used in advanced AI systems. You’ll work on tasks involving financial analysis, interpretation, and validation across a range of finance-related content. Job Description The client is looking for experienced finance experts with strong analytical capabilities and deep domain knowledge. This opportunity is ideal for professionals with backgrounds in: • Risk Management, • Corporate Finance, • Valuations, • Investment Analysis, • Review and interpret complex financial statements, models, and investment-related content, • Analyze and validate structured and unstructured financial data, • Ensure accuracy, consistency, and quality of financial information, • Apply domain expertise to support AI model evaluation and improvement, • Deliver work within defined timelines during the engagement periodQualifications Requirements: • CFA Level 3 cleared (mandatory), • Strong expertise in finance domains such as Risk, Corporate Finance, or Valuations, • Experience working with financial statements, models, or investment materials, • High attention to detail and strong analytical thinking, • Excellent written and verbal communication skills, • Experience in financial data validation, QA, or research, • Familiarity with AI/LLM-related projects or data annotation, • Experience working with both structured and unstructured datasets Additional Information • Short-term, project-based engagement (~2 weeks), • Remote work opportunity, • Work with a global team across multiple regions, • No guaranteed long-term engagement beyond the project duration

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. 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 complete

DataAnnotation is committed to creating high-quality AI. 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 complete

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. 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 complete

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.