About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is the hiring and contracting organization for this role, connecting expert contributors with projects that help improve modern AI systems.

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• Remote opportunity listed for contributors worldwide
• Project-based contractor engagement
• Part-time work with flexible contribution periods
• Hourly pay ranging from $15 to $40 USD

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create examples, evaluate model responses, and verify technical content so AI systems can produce more accurate, useful, and reliable results.

In this project, your machine learning and computational STEM expertise will help train models on challenging problems that require programming, statistical reasoning, and careful validation.

• Work directly with text-based AI training data
• Use human expertise to improve model reasoning and technical accuracy
• Contribute to cutting-edge generative AI and machine learning development
• Work remotely with a computer and internet connection

The Role

As a Machine Learning Expert, you will create and verify original computational STEM and machine learning problems. The work focuses on problems that reflect real scientific workflows, require Python programming and non-trivial reasoning, and cannot be solved manually in a reasonable amount of time.

You will document clear problem statements, produce correct answers, and validate solutions with reproducible Python code and standard data science libraries. The project includes prompt and response writing, text generation, question answering, evaluation, and programming-focused tasks.

• Data type: Text
• Subject matter: Machine learning, statistics, and computational STEM problems
• Experience level: Expert
• Required English level: Fluent, with written English at C1+ or equivalent
• Employment type: Contractor and part-time
• Pay: $15 to $40 USD per hour
• The project is listed as worldwide, with USA noted as a restricted location in the screening details

What You'll Do

You will design technically rigorous training examples and test whether the resulting solutions are accurate, reproducible, and clearly explained. Your work will combine machine learning knowledge, statistical analysis, software development, and technical writing.

• Create original computational STEM and machine learning problems
• Design problems with clear solution paths and meaningful scientific or technical workflows
• Write Python-based solutions for non-trivial computational tasks
• Verify answers using NumPy, Pandas, SciPy, scikit-learn, or similar libraries
• Validate outputs with reproducible code and correct results
• Write clear problem statements, explanations, and documentation
• Evaluate and rate responses for accuracy, reasoning quality, and technical correctness
• Create question-answering, text-generation, and programming examples

Requirements and Technical Expertise

This role is intended for experienced machine learning specialists who can demonstrate substantial hands-on work and business impact. You should be comfortable translating advanced concepts into precise computational problems and validating solutions independently.

• At least 5 years of hands-on machine learning experience with demonstrated business impact
• Expert Python skills for data science, including NumPy, Pandas, SciPy, and scikit-learn; statsmodels is a bonus
• Strong statistical analysis skills and understanding of machine learning algorithms and practical trade-offs
• Strong SQL skills, including joins, aggregations, window functions, and database data manipulation
• Experience with GenAI approaches such as LLMs, RAG, prompt engineering, and vector databases
• Familiarity with MLOps and deployment workflows, including packaging, reproducibility, and basic monitoring
• Experience with TensorFlow or PyTorch; LangChain is a bonus
• Ability to design original computational problems with clear solutions
• Proven ability to verify solutions using reproducible Python code and correct outputs
• Strong written English at C1+ level or equivalent

Availability and Project Structure

This is a project-based opportunity rather than a permanent position. The screening information requests approximately 10 to 20 hours per week during active project phases, while the listing also indicates a 20+ hour weekly time requirement. Confirm the current expected schedule during the application process.

• Contribute during active project phases
• Availability requested at approximately 10 to 20 hours per week in the project description
• The structured listing indicates a 20+ hours per week time requirement
• Flexible, remote contractor format

Why Join AI Training

AI training and data labeling are among the fastest-growing ways to work in technology. Contributors with specialized skills can help shape how state-of-the-art models solve problems, communicate technical information, and support real-world workflows.

This role is especially suited to machine learning professionals who want flexible project work while applying their expertise to the development of advanced AI systems.

• Apply advanced technical knowledge to emerging AI systems
• Build experience in model evaluation and generative AI training
• Work remotely and contribute around other commitments
• Create an OpenTrain account for free and apply in minutes