AI Trainer (ML Engineering), Part-Time ML Task Design - Remote (52 countries)

• $60–$120 per hour equivalent, paid per accepted task
• 100% remote
• Part-time independent contractor
• Under 20 hours a week, you choose when

Turn practical machine-learning engineering experience into demanding tasks, reproducible solutions, and objective reviews that test advanced AI systems.

OpenTrain AI is hiring for this role.

AI training work uses expert-built examples and feedback to improve model quality. You will design machine-learning tasks, inspect experiments and code, and explain whether technical results are correct, stable, and reproducible.

What you'll do

• Develop challenging machine-learning problems for advanced models.
• Prepare repeatable setups, answer examples, scoring rules, rubrics, and automated checks.
• Review model-generated Python code, experiments, analyses, and technical deliverables
• Identify data leakage, incorrect validation, unstable training, and performance problems

Why this is worth your time

• Apply expert machine-learning judgment to structured AI evaluation tasks.
• Turn practical model-building experience into clear standards for correct solutions.
• Review technical work and explain useful corrections with evidence.
• Fully remote and flexible, no fixed shifts, no commute

Who this is for

• Bring expert machine-learning practice and make fair, measurable calls about technical correctness.
• Have been paid to train, assess, benchmark, or improve AI systems before.
• Strong practical Python skills.
• Practical use of PyTorch, JAX, TensorFlow, scikit-learn, XGBoost, LightGBM, or a comparable machine-learning toolkit.
• Show public evidence such as repositories, model work, competitions, papers, reports, benchmarks, or open-source work.
• Professional fluency in English.
• At least 15 hours and under 20 hours per week.
• Useful extras include building training tasks and scoring materials, reviewing submissions, competing or researching in ML, contributing to open source, and judging long-horizon or agentic systems.
• Have prior paid experience training, evaluating, benchmarking, or improving AI systems.

Pay and details

• $60–$120 per hour equivalent, paid per accepted task, as an independent contractor
• Part-time, flexible schedule; fully remote; eligible in AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, and ZA.
• At least 15 hours and under 20 hours per week.

How to apply

1. Apply on OpenTrain (about two minutes): https://app.opentrain.ai/api/out/cmw9gep8q00jl08l8nvct2lrb?ch=qajobsboard&sub=p_328746a6039d

2. Complete the application on the hiring platform.

3. If shortlisted, take a conversational AI interview with technical questions and a coding challenge, whenever it suits you.

This is that work, done remotely around your schedule.

About OpenTrain AI

OpenTrain AI connects experienced professionals with paid, part-time AI training work: creating technical examples, reviewing model outputs, and improving the reliability of AI systems.