Data and machine learning AI training jobs are the meta-layer of this market: labs hiring ML-literate people to design the evaluations, curate the datasets and audit the reward signals that everyone else’s work feeds into. If the other categories produce training data, this one decides what good data looks like.
The live listings below come from Mercor, Outlier, Alignerr, micro1, DataAnnotation and Terac, refreshed daily, with rates as published.
88 open data & machine learning listings live right now.
Filtering by rate hides per-task listings, which have no hourly equivalent.
Get paid up to $120/hr to shape the future of AI. Flexible remote contract — no technical experience required....
Get paid to fact-check AI and make it smarter — use your research instincts to shape the future of trustworthy technology. Fully remote, no experience...
Get paid to teach AI how to see — label and annotate video content for cutting-edge AI research. Fully remote, flexible, no experience needed....
Get paid up to $120/hr to shape the future of AI. Review and rate AI outputs remotely — no technical experience required....
Get paid to challenge AI — chat, probe, and rate responses from cutting-edge chatbots. Fully remote, no experience needed....
Get paid to shape how AI finds and presents information — evaluate search results from anywhere. No tech background needed....
Earn top dollar putting AI to the test. Use your ML expertise to design challenges that push state-of-the-art AI to its limits — remote & flexible....
Put your computer vision skills to work on the AI that's changing everything. Fully remote, flexible hours, and meaningful impact....
Drive the data strategy behind next-generation AI — source, evaluate, and secure world-class datasets. Fully remote with high autonomy....
Build the benchmarks that test the world's most advanced AI models. $80–$100/hr, fully remote, Python experts wanted....
Get paid to power AI with clean, structured data — organize, optimize, and ensure quality from anywhere. Flexible, remote, no experience needed....
ML engineers in Warsaw — get paid to evaluate and improve the world's most advanced AI models. Fully remote, flexible contract work on your own schedu...
Build the data pipelines and evaluation systems powering next-gen AI — senior Python engineers in New York wanted for high-impact, fully remote ML inf...
Machine Learning Engineer Overview Models are surprisingly bad at reasoning about themselves: training dynamics, evaluation design, data pipelines, and deployment trade-offs. Plaus…
Data Scientist Overview The newest models can spin up a full analysis in minutes — load the data, pick a method, produce charts and a confident conclusion. Someone has to check whe…
Statistics Experts Wanted to Train the Next Generation of AI Use your statistics expertise to train AI models. Work remotely, set your own hours, and earn up to $150/hr. Statistics…
Your ML expertise shapes how frontier AI models think — up to $150/hr Earn up to $150/hr training AI as an ML/AI PhD on Outlier. Evaluate model outputs, craft domain questions. Rem…
Computer Science experts — Earn up to $150/hr improving frontier AI models. Fully remote. Earn up to $150/hr training AI as a CS PhD on Outlier. Evaluate reasoning, craft domain qu…
We are running a paid evaluation to see how well professionals can design complex tasks that expose AI limitations. We want domain experts to create a demanding prompt based on the…
We are running a paid study to evaluate and refine an intermediate-level linear algebra exam designed for machine learning assessments. We need experienced machine learning practit…
About the Role We are looking for 5 detail-oriented generalists to support a series of short-term projects involving egocentric (first-person) video data. The engagement will run f…
Typical projects: writing evaluation rubrics and grading guidelines, building benchmark tasks, reviewing preference data for label quality, red-teaming models for failure modes, and analyzing where a fine-tune went wrong. Some roles are hands-on with Python and data tooling; others are pure judgment work on other contributors’ output.
This is the one category where ML knowledge is the product. Everywhere else the labs want domain experts without AI backgrounds; here they want people who know what a held-out set is and why a reward model drifts. Data scientists, ML engineers and quantitative analysts fit the bill.
Six marketplaces publish this work openly. Every listing above links to the one that posted it, and each has its own page here covering pay, screening and who gets hired.
Every marketplace above screens with an interview or assessment in your own domain before assigning paid work. Run that interview with Skillora first and get feedback on how you explained your reasoning, not just on what you said.
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