Machine Learning Applied Scientist, Part-Time AI Task Evaluation - Remote (United States)
$60-$120 per hour equivalent, paid per accepted task
100% remote
Part-time, about 15 hours a week
The teams building machine learning systems need applied scientists who can create realistic engineering tasks, judge whether model work is correct and efficient, write strong Python implementations, and explain exactly where a result falls short. This remote contractor work applies your machine learning expertise to AI evaluation.
What you'll do
- Create realistic machine learning tasks involving model development, data pipelines, numerical methods and inference systems
- Review model implementations and training workflows for correctness, performance and reproducibility
- Write expert solutions in Python, including model components, evaluation logic and command-line workflows
- Investigate numerical and system failures, then explain clearly why an AI coding result did not meet requirements
Who this is for
- A PhD or master's degree in computer science, machine learning, artificial intelligence, applied mathematics, statistics or engineering
- Strong machine learning experience and practical Python proficiency
- Fluent English
- Helpful experience with PyTorch, JAX, NumPy, SciPy, SGLang, vLLM, llama.cpp, tokenizers or transformers
Pay and details
$60-$120 per hour equivalent, paid per accepted task, as an independent contractor. About 15 hours a week; choose when you work. Fully remote, United States.
How to apply
1. Apply on OpenTrain: https://app.opentrain.ai/api/out/cmvlhmdgf000708jvbyn7l90a?ch=techquick&sub=techquick-cmvlhmdgf-us-2026-11
2. Complete the board application.
3. If shortlisted, complete the next evaluation step.
About OpenTrain AI
OpenTrain AI connects experienced professionals with paid, part-time AI training work that improves current AI systems.