Create, solve, review, and validate coding-heavy machine learning tasks involving models, training systems, inference, evaluation, and performance. This remote contractor role offers $60 to $120 per hour equivalent, paid per task that meets the project specifications, for about 15 hours per week.
The work
You will create, solve, review, and validate challenging machine learning engineering tasks for AI training. The work combines model development, training and inference systems, numerical computing, performance optimization, reproducible workflows, and objective correctness checks.
Responsibilities
• Implement or modify machine learning model components.
• Build training and inference workflows, data pipelines, and evaluation systems.
• Use Python and command-line tools to create reproducible workflows.
• Optimize memory use and throughput in model or systems implementations.
• Diagnose numerical and system-level failures and verify implementation quality.
• Work with coding agents as part of the expected development workflow.
Requirements
• Professional fluency in English.
• A master’s degree or PhD in computer science, machine learning, artificial intelligence, applied mathematics, statistics, engineering, or a closely related quantitative field.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents, plus experience creating reproducible programmatic workflows and validating technical correctness.
• Depth in machine learning systems, numerical computing, performance optimization, or inference workflows.
• Helpful background in an established technology company, AI laboratory, research organization, or recognized engineering environment.
Schedule: Approximately 15 hours per week, with a flexible schedule.
Location: Remote, United States.
Education: MSc or PhD required.
Skills Required
- Professional fluency in English
- Master’s degree or PhD in computer science, machine learning, artificial intelligence, applied mathematics, statistics, engineering, or a closely related quantitative field
- Strong professional or research experience in machine learning
- Practical proficiency with Python and coding agents
- Experience creating reproducible programmatic workflows and validating technical correctness
- Depth in machine learning systems, numerical computing, performance optimization, or inference workflows
- Background in an established technology company, AI laboratory, research organization, or recognized engineering environment
What We Do
OpenTrain AI is a marketplace that connects AI developers with vetted AI trainers and data labelers for AI training data and annotation services.







