Materials Science Python Task Author

You will create scientific coding tasks used to train and evaluate AI models. Each task should be scientifically correct, logically structured, deterministic, and useful for measuring model performance.

You will combine materials science knowledge with Python programming, scientific writing, and careful quality review.

• Write one main scientific problem with at least three connected sub-problems that become progressively harder.
• Implement verified Python solutions with complete unit test coverage.
• Design test cases that distinguish correct model outputs from incorrect ones.
• Review task structure and quality against defined rubrics.
• Revise tasks based on feedback and take part in review discussions and project coordination.

What It Pays and Takes

This is a remote contractor assignment for candidates in the listed countries. Compensation is not disclosed in the role details.

• Pay: Compensation is not disclosed.
• Contract: 8 weeks.
• Schedule: The role details specify 40 hours per week, including 4 hours of overlap with Pacific Time. The listing is also marked as requiring 20+ hours per week.
• Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, or Vietnam.
• Language: English.
• Required education: A master's degree or PhD in materials science or a related field.
• Required skills: Strong Python programming, scientific computing, and the ability to write rigorous problems with clear constraints and expected outputs.
• You must be able to judge scientific correctness, whether test cases separate good and bad answers, whether problems are well posed, and whether results are deterministic.
• Helpful background includes AI data annotation, large language model evaluation, coding benchmarks, scientific research, or scientific writing.
• Helpful tools include NumPy, SciPy, SymPy, and other domain-specific scientific software. Published research or academic STEM project experience is also relevant.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training work uses human-written examples, ratings, and checks to help artificial intelligence systems produce better results. People with strong subject knowledge are paid to create and review difficult examples that models need to learn from.