The work
You will complete coding-heavy AI training tasks focused on machine learning model development, training and inference systems, numerical computing, and performance optimization. The work includes creating, solving, reviewing, and validating engineering tasks against clear correctness and performance requirements.
You will build reproducible workflows with Python and command-line tools, then test and assess whether implementations meet project specifications. You may also debug numerical or system-level failures and improve memory use or processing speed.
- Develop and validate machine learning models, training pipelines, and inference systems.
- Build evaluation systems, numerical methods, and supporting infrastructure.
- Create, solve, review, and validate challenging programming tasks.
- Use Python and command-line tools to build reproducible workflows.
- Optimize memory use and throughput, debug failures, and check technical results.
What it pays and takes
This is a part-time contractor opportunity with flexible scheduling. The expected commitment is approximately 15 hours per week, and the role is remote for candidates in the listed countries.
- Pay: $60 to $120 per hour equivalent, paid per task that meets the project specifications.
- Hours: Approximately 15 hours per week, with flexible scheduling.
- Location: Fully remote; open to candidates in the listed countries.
- Language: Fluent English.
- Education: A bachelor's degree in computer science, machine learning, artificial intelligence, applied mathematics, statistics, engineering, or a closely related quantitative field.
- Technical background: Experience using coding agents in your development workflow.
- Relevant tools: PyTorch, JAX, NumPy/SciPy, SGLang, vLLM, llama.cpp, tokenizers, or transformers.
- Preferred preparation: Experience at a technology company, AI laboratory, research organization, or recognized engineering environment; exceptional open-source or academic work may also be relevant.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 8 screening questions.
About OpenTrain and AI training work
OpenTrain is a platform where people find AI training and data-labeling projects, build a profile, and apply in minutes. AI training is the human work behind artificial intelligence, including writing code, testing systems, evaluating model outputs, and preparing examples that help models improve.