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Job Description GoMobile Tires — a fast-growing leader in the mobile tire service industry — is looking for a creative powerhouse to join our team full-time in Hillsboro, OR. If you live and breathe content, thrive on social engagement, and love turning brand stories into scroll-stopping moments, this is your lane. What You’ll Do: * Create compelling photo, video, and written content for Instagram, TikTok, LinkedIn, Facebook, and YouTube * Manage and grow our social media presence across all channels * Develop and execute monthly content calendars and campaigns * Capture behind-the-scenes action of our mobile service vans in the field * Work closely with marketing and franchise teams to support brand consistency * Monitor trends, hashtags, and analytics to optimize performance * Be the digital voice of GoMobile Tires You Are: * A content machine — camera-savvy, copy-smart, and trend-aware * Obsessed with storytelling, from short-form video to brand voice * Experienced in social media management tools (Later, Hootsuite, Meta Suite, etc.) * Comfortable filming on-site and in the field * Skilled with basic video editing and design tools (CapCut, Canva, Adobe, etc.) * Highly organized, self-driven, and deadline-oriented * Passionate about cars, service, or anything with wheels? That’s a big plus! Why Join Us? GoMobile Tires is transforming the way people take care of their vehicles — bringing tire and oil services straight to the customer’s driveway or workplace. We’re a growing brand with national reach and a bold vision. You'll play a key role in shaping how we show up online. Apply now and drive your content career forward with GoMobile Tires. Send your portfolio, resume, and a short intro video to: Subject: Content Creator & Social Media Manager – Hillsboro Let’s roll. Company DescriptionGoMobile Tires USA is a leading provider of mobile tire services, revolutionizing the way Americans maintain and replace their vehicle tires. By bringing expert tire installation, repair, balancing, and rotation services directly to customers' homes, offices, or roadside locations, GoMobile Tires eliminates the need for time-consuming visits to traditional tire shops. With a focus on convenience, safety, and efficiency, GoMobile Tires USA leverages state-of-the-art equipment and a fleet of fully equipped service vans to deliver dealership-quality tire services anytime, anywhere. The company partners with top-tier tire brands and offers a wide selection of products to suit every vehicle type and budget. Driven by a commitment to customer satisfaction and innovation, GoMobile Tires USA is redefining tire care in the modern era—putting mobility, reliability, and expert service at the forefront of its business model.GoMobile Tires USA is a leading provider of mobile tire services, revolutionizing the way Americans maintain and replace their vehicle tires. By bringing expert tire installation, repair, balancing, and rotation services directly to customers' homes, offices, or roadside locations, GoMobile Tires eliminates the need for time-consuming visits to traditional tire shops.\r\n\r\nWith a focus on convenience, safety, and efficiency, GoMobile Tires USA leverages state-of-the-art equipment and a fleet of fully equipped service vans to deliver dealership-quality tire services anytime, anywhere. The company partners with top-tier tire brands and offers a wide selection of products to suit every vehicle type and budget.\r\n\r\nDriven by a commitment to customer satisfaction and innovation, GoMobile Tires USA is redefining tire care in the modern era—putting mobility, reliability, and expert service at the forefront of its business model.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements, • Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability, • Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients, • Proven experience in backend development: TS/Node (required), • Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers, • Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact, • Preferred: Experience with Docker and containerized deployments, • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Key Responsibilities Coordinate all phases of BI reporting and analytics delivery, ensuring timely and accurate deliverables Serve as the primary liaison between internal teams and external partners, facilitating communication and collaboration Track incoming data deliveries, manage documentatio

A company is looking for a Sales Analytics Analyst to support its insurance practice through data analysis and insights. Key Responsibilities Analyze agent performance and market opportunities Build dashboards and tools for sales managers to identify growth areas Provide insights for agency recr

Key Responsibilities Pitch and write multiple timely, deal-oriented shopping articles daily to generate affiliate revenue Use data and analytics to guide content decisions and collaborate with the Transaction team Research and prepare content for major shopping events, keeping up with Amazon-rel

Key Responsibilities Build and manage digital media campaigns, ensuring day-to-day optimizations Monitor and communicate campaign pacing and performance to clients Utilize reporting and analytics tools to identify performance improvement opportunities and provide insights Required Qualification

Job Description Floor Coach – Shoot 360 Hillsboro Location: Hillsboro, OR Employment Type: Part-Time/Full-Time Shoot 360 Hillsboro combines cutting-edge basketball technology with hands-on coaching to help athletes elevate their game. We’re looking for energetic, knowledgeable Floor Coaches—to guide young athletes through skill development and create an outstanding member experience. What You’ll Do • Coach athletes of all ages on shooting, ball-handling, and basketball fundamentals, • Provide real-time instruction, motivation, and personalized feedback, • Help members understand the analytics of the Splash Meter, proprietary Shoot 360 basketball techp, and performance results from our interactive skill stations, • Foster a fun, supportive, high-energy environment on the training floor, • Strong basketball knowledge and ability to teach fundamentals, • Experience coaching, training, or working with youth (preferred), • High-energy communicator who enjoys helping others improve, • Positive attitude, professionalism, and reliability, • Work in an innovative, tech-forward training environment, • Make an impact on athletes’ growth and confidence every day

A company is looking for a Sr Analyst, Digital Analytics.

Key Responsibilities Lead design, implementation, and improvement of Resource Management processes and systems Prepare and deliver workforce planning reports and dashboards to support decision-making Coordinate integration activities across platforms and maintain resource management workflows R

A company is looking for an E-Commerce Product Manager (Contract).Key Responsibilities Own and optimize the Shopify storefront, including site navigation and merchandising strategy Develop and implement A/B testing and analytics strategies to enhance user experience and conversion rates Collabor

1\. Role Overview Mercor is seeking experienced digital marketing analytics professionals to support a performance optimization project with a top-tier analytics consultancy. This engagement focuses on analyzing multi-channel advertising performance, auditing data quality, and developing visual reports to drive marketing strategy. Freelancers will apply their expertise in tools like Google Analytics, Facebook Ads Manager, and Excel modeling to deliver high-impact insights and recommendations. This is a high-priority, short-term contract with flexible hours and fully remote execution. * * * 2\. Key Responsibilities - Extract campaign data from advertising platforms (Google Ads, Facebook, LinkedIn, TikTok, etc.) - Calculate KPIs including CTR, CPC, CPA, ROAS, and conversion rates across channels - Compare performance across time periods and against budget targets - Create data visualizations and insights summaries in Google Sheets, PowerPoint, or Data Studio - Audit tracking setups and conversion reporting accuracy using GA4 and Tag Assistant - Build and manage UTM tracking templates for campaigns - Reconcile advertising costs against invoiced amounts, including currency conversions - Segment customer data from CRMs and create targeting recommendations - Develop budget optimization models and retention/cohort analyses using historical data - Design dashboards with automated data refresh and cross-channel KPI visualizations * * * 3\. Ideal Qualifications - 5+ years of experience in performance marketing analytics, media reporting, or marketing operations - Proficiency in Google Analytics 4, Facebook Ads Manager, LinkedIn Campaign Manager, and Google Sheets - Strong grasp of digital KPIs (CPA, ROAS, CTR, etc.) and budget/spend tracking - Experience with Excel-based modeling, cohort analysis, funnel breakdowns, and segmentation strategies - Familiarity with UTM tracking, tag auditing tools, and attribution model comparisons - Excellent attention to detail in calculations, formatting, and visualizations - Ability to work independently and deliver on weekly or monthly reporting deadlines * * * 4\. More About the Opportunity - Remote and asynchronous — work on your own schedule - Expected commitment: minimum 30 hours/week - Project duration: ~6 weeks * * * 5\. Compensation & Contract Terms - $100–150/hour for U.S.-based freelancers (localized rates may vary) - Paid weekly via Stripe Connect - You’ll be classified as an independent contractor * * * 6\. Application Process - Submit your resume followed by domain expertise interview and short form * * * 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking native Brazilian Portuguese speakers who are also marketing professionals based in Brazil. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain. You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in Portuguese. * * * ## Role Responsibilities - Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in Brazil. - Bilingual Communication: Write fluently in both Portuguese and English, ensuring correct marketing terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to Brazilian marketing, reflecting cultural norms and media habits that drive marketing effectiveness. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in Brazil. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Brazilian Portuguese with strong written and spoken English. - Education: Degree in marketing, communications, advertising, or a similar field. - Experience: 2–6+ years of experience in marketing in Brazil. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess Portuguese language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is seeking native Italian speakers who are also marketing professionals based in Italy. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain. You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in Italy. * * * ## Role Responsibilities - Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in Italy. - Bilingual Communication: Write fluently in both Italian and English, ensuring correct marketing terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to Italian marketing, reflecting cultural norms and media habits that drive marketing effectiveness. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in Italy. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Italian with strong written and spoken English. - Education: Degree in marketing, communications, advertising, or a similar field. - Experience: 2–6+ years of experience in marketing in Italy. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

Our client is a global leader in innovative orthopedic and medical solutions developed to improve patient care. With over three decades of experience in the orthopedic industry, our mission is to aid the afflicted through the ingenuity of our minds, the labor of our hands, and the compassion of our hearts. The company is headquartered in Hillsboro, Oregon, and has a global sales and distribution network supported by offices worldwide. Compensation: $38-$43/hr DOE Availability: Monday - Friday 8am - 4:30pm. This role is set to start ASAP and will last for 6 months. The Demand Planner will be responsible for the end-to-end monthly Consensus Demand Planning process, including driving collaboration globally across multiple functions within the organization & with external partners. Using KPI metrics, statistical models, and market analysis, the demand planner will evaluate submitted forecasts and assess how proposed demand events may impact sales volume. Duties & Responsibilities: • Constructs the multi-tiered Demand Planning process using as few product families as possible and working cross-functionally within our Business Unit (BU) and Sales Geography structures., • Develops and maintains a rolling 24-month baseline demand forecast using statistical analysis and cross-functional inputs., • Documents and creates scenario planning for future initiatives (NPI) and state of the business, including opportunity/risk assumptions, E&O, and cannibalization., • Achieves consensus demand plan between sales, marketing, finance, and supply through a demand planning process, with a monthly review., • Collaborates with key Demand-side stakeholders for inputs in a manner that ensures their tasks are intuitive, so that little to no training is required for success, and streamlined, so that it takes little time., • Coaches and mentors BU Leaders, Sales, Marketing (Product Management), and key Customers (Distributors) in Demand Planning and Demand Control/Execution processes to drive accountability, accuracy, and stability., • Leads the Demand Planning discussions at multiple monthly Consensus Meetings and the Integrated Business Planning (IBP) Demand Review., • Keep detailed records, generate reports, and develop presentations to support the evaluation of Demand Plan performance, improvement efforts, problem-solving, and Demand shaping initiatives., • Manage KPIs, including eliminating Demand Plan bias, reducing errors, and smoothing Demand volatility while comparing forecasts to financial budgets and explaining differences., • Builds and manages strong, long-term relationships within the company and with external parties, such as distributors. Qualifications: • Bachelor’s degree in Business, Supply and Logistics, or related field required, or 8 years of combined Demand and Supply Planning in a manufacturing environment with a track record of increasing responsibilities, or equivalent combination of education and experience., • Experience within a monthly Sales & Operations Planning (S&OP)/Integrated Business Planning (IBP) process., • Experience in regulated industry manufacturing, preferably med-device, to proactively anticipate and address potential issues and exceptions., • APICS/ASCM/IBF certification or Operations/Industrial Management education/certification a plus., • Proven proficiency with working with data from ERPs (SAP(IBP), Kinaxys, Logility, O9 or similar experience, demand planning software preferred), Microsoft Office (proficient with Excel and PowerPoint), Forecast Models, and Inventory Strategies., • Ability to work independently and manage complex problems and projects, and collaborate on business intelligence (Power BI, Tableau, Qlikview, SAP Analytics Cloud preferred) and data solutions., • Excellent written and verbal communication, as well as strong time management, are required to multitask in a fast-paced environment., • Demonstrated ability to work in a team environment, including working with Sales, Product & Supply teams., • Ability to read and speak English sufficiently to read, understand, and complete all paperwork., • Strong analytical, organizational, decision-making, presentation skills, and time management skills, including statistics, forecasting, and forecasting methods, with an understanding of financial and operational implications. CampusPoint is an Equal Opportunity Employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. If you need assistance or an accommodation due to a disability, you may contact us at or 1+206-783-9200 (ask to speak with an HR representative). The process is outlined in CampusPoint’s ___.

Our client is a global leader in innovative orthopedic and medical solutions developed to improve patient care. With over three decades of experience in the orthopedic industry, our mission is to aid the afflicted through the ingenuity of our minds, the labor of our hands, and the compassion of our hearts. The company is headquartered in Hillsboro, Oregon, and has a global sales and distribution network supported by offices worldwide. Compensation: $35-$40/hr DOE Availability: Monday - Friday 8am - 4:30pm. This role is set to start ASAP and will last for 6 months. The Demand Analyst will be responsible for supporting the end-to-end monthly reporting for the Consensus Demand Planning process, including collaborative reporting globally across multiple functions within the organization & with external partners. Using KPI metrics, statistical models, and market analysis, the demand analyst will evaluate submitted forecasts and assess how proposed demand events may impact sales volume. Duties & Responsibilities: • Forecast evaluation and analysis - Analyze and evaluate submitted demand forecasts using statistical models and market analysis, assess the impact of proposed demand events on sales volume, inventory levels, identify trends, anomalies, and potential risks in demand forecasts., • Facilitate meetings and discussions to develop reporting and key metrics for presentations and key analysis to support the development of a rolling 24-month baseline demand forecast using statistical analysis and cross-functional inputs., • Documents and creates scenario planning for future initiatives (New Product Introduction / NPI) and state of the business, including opportunity/risk assumptions, Inventory Excess & Obsolescence (E&O) reserves, and cannibalization., • Collaborates with key Demand-side stakeholders for inputs in a manner that ensures their tasks are intuitive, so that little to no training is required for success, and streamlined, so that it takes little time., • Aids in the discussions at for demand planning multiple monthly Consensus Meetings and the Integrated Business Planning (IBP) Demand Review., • Keep detailed records, generate reports, and develop presentations to support the evaluation of Demand Plan performance, improvement efforts, problem-solving, and Demand shaping initiatives., • Create data visualizations and manage KPIs including eliminating Demand Plan bias, reduce error and smooth Demand volatility while comparing forecast to financial budgets and explaining differences, develop and maintain dashboards and reports to track demand planning performance, present insights and recommendations based on KPI analysis to stakeholders., • Continuously improve demand planning processes, tools, and methodologies, implement best practices and innovative approaches to enhance forecast accuracy, and collaborate with IT and other departments to optimize demand planning systems., • Communicate key insights and demand planning updates to relevant stakeholders; work closely with sales, marketing, finance, and supply chain teams to align on demand expectations; prepare and deliver presentations on demand analysis; and forecast performance., • Ensure the accuracy and integrity of demand planning data, maintain and update demand planning databases and systems, and conduct regular data validation and reconciliation to support reliable forecasting., • Analyzes demand used for calculating inventory turns and proposes targeted promotions/discounting to reduce E&O reserves. Qualifications: • Bachelor’s degree in Business, Supply and Logistics or related field required or a combination of education and experience., • Proven experience in demand planning or a related analytical role and strong analytical skills and proficiency in statistical modeling., • Excellent written and verbal communication skills and strong time management skills needed to multi-task in a fast-paced environment., • Ability to work independently and manage complex problems and projects and collaborate on business intelligence (PowerBI, Tableau, Qlikview, SAP Analytics Cloud preferred) and data solutions., • Experience in regulated industry manufacturing, preferably med-device, to proactively anticipate and address potential issues and exceptions., • APICS/ASCM/IBF certification or Operations/Industrial Management education/certification a plus., • Proven proficiency with working with data from ERPs (SAP(IBP), Kinaxis, Logility, O9 or similar experience demand planning software preferred), Microsoft Office (proficient with Excel and PowerPoint), Forecast Models, and Inventory Strategies., • Demonstrated ability to work in a team environment, including working with Sales, Product & Supply teams., • Ability to read and speak English sufficiently to read, understand, and complete all paperwork., • Strong analytical, organizational, decision-making, presentation skills, and time management skills, including statistics, forecasting, and forecasting methods, with an understanding of financial and operational implications. CampusPoint is an Equal Opportunity Employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. If you need assistance or an accommodation due to a disability, you may contact us at or 1+206-783-9200 (ask to speak with an HR representative). The process is outlined in CampusPoint’s ___.

Mercor is seeking native Spanish speakers who are also marketing professionals based in Latin America or Spain. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain. You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in Latin America. * * * ## Role Responsibilities - Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in Latin America or Spain. - Bilingual Communication: Write fluently in both Spanish and English, ensuring correct marketing terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to Latin American or Spanish marketing, reflecting cultural norms and media habits that drive marketing effectiveness. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in Latin America or Spain. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Spanish with strong written and spoken English. - Education: Degree in marketing, communications, advertising, or a similar field. - Experience: 2–6+ years of experience in marketing in Latin America or Spain. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is seeking native Japanese speakers who are also marketing professionals based in Japan. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain. You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in Japan. * * * ## Role Responsibilities - Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in Japan. - Bilingual Communication: Write fluently in both Japanese and English, ensuring correct marketing terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to Japanese marketing, reflecting cultural norms and media habits that drive marketing effectiveness. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in Japan. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Japanese with strong written and spoken English. - Education: Degree in marketing, communications, advertising, or a similar field. - Experience: 2–6+ years of experience in marketing in Japan. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking native French speakers who are also marketing professionals based in France. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain. You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in French. * * * ## Role Responsibilities - Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in France into content to help train AI models. - Bilingual Communication: Write fluently in both French and English, ensuring correct marketing terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to French marketing, reflecting cultural norms and media habits that drive marketing effectiveness. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in France. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in French with strong written and spoken English. - Education: Degree in marketing, communications, advertising, or a similar field. - Experience: 2–6+ years of experience in marketing in France. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Role Overview Mercor is seeking experienced insurance underwriting professionals to collaborate with a technology-driven risk analytics partner. Freelancers will support the development and evaluation of automated insurance workflows, contributing expert insight to improve AI systems handling underwriting, risk assessment, and rating logic. This opportunity is ideal for professionals with property and casualty underwriting experience looking to apply their knowledge in a forward-looking, project-based environment. Key Responsibilities - Evaluate application data, loss history, and third-party reports (e.g., CLUE, MVR, LexisNexis) to determine underwriting acceptability. - Calculate insurance premiums using ISO manuals, class codes, and company-specific rating algorithms. - Analyze historical claims to assess loss trends and calculate loss ratios against industry benchmarks. - Draft policy terms and compile coverage documents including endorsements and declarations. - Review referred cases and provide documented decisions with clear rationale and risk treatment recommendations. Ideal Qualifications - 5+ years in commercial or personal lines underwriting, preferably with experience using platforms like Guidewire or Duck Creek. - Familiarity with ISO classification codes, rating manuals, and policy forms. - Strong attention to detail and ability to assess risk across various data inputs. - Proven track record of working with multi-line policies (property, auto, general liability). - Experience reviewing and interpreting third-party reports (CLUE, MVR, LexisNexis, etc.). More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $50-80/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation. Candidates should have 3+ years of applied ML experience or a strong record in competitive ML, and must be based in India. Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices. * * * ## Responsibilities - Frame unique ML problems for enhancing ML capabilities of LLMs. - Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. - Run rapid experimentation cycles, evaluate model performance, and iterate continuously. - Conduct advanced feature engineering and data preprocessing. - Implement adversarial testing, model robustness checks, and bias evaluations. - Fine-tune, evaluate, and deploy transformer-based models where necessary. - Maintain clear documentation of datasets, experiments, and model decisions. - Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward. * * * ## Required Qualifications - At least 3 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent) - Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings) - Strong proficiency in Python, PyTorch/TensorFlow, and modern ML/NLP frameworks - Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures - Experience with distributed training, ML pipelines, and experiment tracking - Strong problem-solving skills and algorithmic thinking - Experience working with cloud environments (AWS/GCP/Azure) - Exceptional analytical, communication, and interpersonal skills - Ability to clearly explain modelling decisions, tradeoffs, and evaluation results - Fluency in English * * * ## Preferred / Nice to Have - Kaggle Grandmaster, Master, or multiple Gold Medals - Experience creating benchmarks, evaluations, or ML challenge problems - Background in generative models, LLMs, or multimodal learning - Experience with large-scale distributed training - Prior experience in AI research, ML platforms, or infrastructure teams - Contributions to technical blogs, open-source projects, or research publications - Prior mentorship or technical leadership experience - Published research papers (conference or journal) - Experience with LLM fine-tuning, vector databases, or generative AI workflows - Familiarity with MLOps tools: Weights & Biases, MLflow, Airflow, Docker, etc. - Experience optimising inference performance and deploying models at scale * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation AI systems. - Work on high-impact machine learning challenges while experimenting with advanced modelling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30–40 hrs/week or full-time) — ideal for ML engineers eager to apply Kaggle-level problem solving to real-world, production-grade AI systems. - Fully remote and globally flexible — optimised for deep technical work, async collaboration, and high-output research environments.

Mercor is seeking native German speakers who are also marketing professionals based in Germany. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain. You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in Germany. * * * ## Role Responsibilities - Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in Germany. - Bilingual Communication: Write fluently in both German and English, ensuring correct marketing terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to German marketing, reflecting cultural norms and media habits that drive marketing effectiveness. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in Germany. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in German with strong written and spoken English. - Education: Degree in marketing, communications, advertising, or a similar field. - Experience: 2–6+ years of experience in marketing in Germany. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

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