Remote AI training and data labeling jobs

Annotate video captured by robotic systems (objects, movements, events), catch edge cases, and help the AI team refine annotation protocols and capture strategy. For people with hands-on computer vision and video annotation experience. 300 openings, remote contractor, $50–90/hour.

Contributors aged 50 or over submit 30 unedited selfies and 10 short videos of themselves from the past five years for AI training. A one-off submission paid as a single payment; micro1's card shows $139–140/hour. 5,000 openings, remote.

A full-time research post at micro1: design the benchmarks, rubrics and evaluation protocols that measure how AI agents handle enterprise finance work, and run original research on financial reasoning. Advanced degree in finance or economics required, PhD strongly preferred. Base salary $200,000–250,000 plus equity.

Review large business datasets for accuracy and completeness under strict PII and privacy rules, flag quality problems and write findings that feed AI training. Remote contractor, $31–60/hour, 50 openings.

Pick information-rich charts from your field and write unambiguous, multi-step quantitative questions about them, with worked answers, to train AI on chart reasoning. Suits medicine, finance, engineering, earth science, data science and operations professionals with two years of chart-heavy work. 50 openings, $25–50/hour.

Run realistic analytics workflows through AI assistants connected to Snowflake, then check every figure they produce with your own SQL. You also maintain the seeded test data, warehouse roles and connector setups. Remote contractor, $50–60/hour, 4 openings, 3+ years of SQL and Snowflake preferred.

A full-time research post at micro1: design and own the benchmarks, clinical quality rubrics and validation protocols that measure AI medical reasoning and decision support, and research where models fail. Advanced healthcare degree (MD, DO, PhD, MPH, PharmD) and research experience required. Base salary $200,000–250,000 plus equity.

Siblings or cousins apply together, each submitting 30 unedited selfies and 10 videos of themselves from the past five years for facial recognition training. Both must complete separate applications before onboarding. Card shows $139–140/hour; 3,997 openings.

Data scientists from top tech, finance or research firms evaluate AI answers on statistics, ML and experimentation, and write expert prompts and reference solutions for a leading AI lab. Contractor, remote, 100 openings, $245–280/hour. English-speaking-country base preferred.

A full-time micro1 research role designing robotics datasets, collection methods, annotation schemas and evaluations for embodied AI (egocentric video, teleop, trajectories, simulation). Base salary $200,000–320,000 plus equity, remote, one opening. Two to five-plus years in robotics or applied ML.

Write multi-step benchmark questions on clinical and epidemiological charts (Kaplan-Meier curves, forest plots, ROC curves, hazard-ratio plots) with unambiguous, fully worked answers for AI evaluation. MD, MPH, PhD or related degree plus two years. 50 openings, contractor, $25–50/hour.

A full-time research engineering role at micro1 building RL environments, reward functions, verifiers, synthetic data pipelines and automated evaluation systems. Base salary $200,000–300,000 plus equity and benefits, remote, one opening. Deep reinforcement learning experience required.

Write multi-step benchmark questions about hard data-science charts (Sankey diagrams, heatmaps, calibration curves, residual plots, correlation matrices) with unambiguous, fully worked answers for AI evaluation. Bachelor's or equivalent plus two years. 50 openings, contractor, $25–50/hour.

Clean messy real-world datasets, run descriptive and inferential analyses in Python or R, build clear visualisations and explain the results to non-technical readers, feeding AI model training data. MS or PhD in a quantitative field preferred. 50 openings, contractor, $60–120/hour.

Run realistic developer workflows (pull requests, code review, issues, CI runs) through AI tools and grade whether the results are correct, while seeding reproducible repos and wiring up integrations. Three years of Git and CI/CD experience; MCP and connector familiarity valued. Four openings, $50–70/hour.

Build, tune and evaluate ML models in Python with MongoDB-backed data pipelines for a customer AI training project, and document every experiment. Remote contractor, $80–140/hour, 35 openings. scikit-learn, TensorFlow or PyTorch plus hands-on MongoDB is the core stack.

Build, break and verify real machine learning engineering tasks: model components, reproducible training and inference workflows, memory and throughput optimisation, numerical debugging. Output-based pay, 100 openings, global remote, roughly 15 hours a week at $100–150/hour.

Refine CRM data models, arbitrate conflicting operational policies and document why you ruled the way you did, and design revenue workflows that hold up under vertical regulation. Four years with your hands actually in the system is the bar; the ad states outright that management-only exposure does not count. Remote contractor work.