Biology Scientific Coding Trainer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. As the hiring and contracting organization for this role, OpenTrain connects skilled contributors with specialized projects and helps them build a credible portfolio of work in a fast-growing field.

• Create a profile and apply through OpenTrain
• Build experience in AI training, coding evaluation, and scientific benchmark development
• Work remotely as a part-time contractor

About AI Training Work

AI models learn from carefully prepared examples, evaluations, and human feedback. Scientific coding trainers help make that process measurable by creating challenging problems, reliable reference answers, and tests that distinguish strong model performance from plausible but incorrect results.

• Contribute to the development and evaluation of cutting-edge AI systems
• Use biology and scientific computing expertise in practical model-training work
• Complete flexible, remote work using a computer and internet connection

The Role

OpenTrain is seeking an intermediate Biology Scientific Coding Trainer to create high-quality scientific coding tasks for training and evaluating AI models. You will translate advanced biology and scientific computing knowledge into precise, logically connected problems, then implement dependable Python reference solutions and tests.

This is a contractor, part-time role requiring 20 or more hours per week. The work is available to candidates in Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Pakistan, Turkey, and Vietnam. English is required.

• Subject focus: biology and scientific Python coding
• Engagement: part-time contractor
• Time requirement: 20+ hours per week
• Experience level: intermediate
• Work arrangement: remote

What You’ll Do

You will design complete scientific coding tasks that are rigorous, testable, and useful for comparing model capabilities. Your work will span scientific writing, Python development, benchmark design, model-output review, and detailed quality assurance.

• Write one main scientific problem with at least three progressively connected sub-problems
• Implement verified golden solutions in Python
• Provide complete unit test coverage for reference solutions
• Design discriminative test cases that separate correct outputs from incorrect outputs
• Validate tasks for well-posedness, scientific correctness, determinism, and output clarity
• Review model outputs and refine tasks for evaluation across multiple language models
• Respond to quality feedback and maintain a low rework rate
• Participate in review sessions and project standups during overlap hours

Requirements

You should have advanced biology knowledge and the ability to apply it to computational problems. Strong Python programming and scientific computing skills are essential, along with the judgment needed to assess scientific correctness, determinism, test coverage, and the ability of test cases to discriminate between outputs.

• Master’s or PhD in Biology, or equivalent master’s or PhD-level biology knowledge
• Strong Python programming and scientific computing ability
• Experience with NumPy, SciPy, SymPy, or comparable scientific tools
• Ability to write well-posed biology problems with clear constraints and expected outputs
• Ability to create discriminative unit tests
• Ability to judge scientific correctness and determinism
• English-language working ability

Helpful Background

The following experience is helpful but is not listed as a required qualification. Academic or professional work that combines biology with scientific programming can provide a strong foundation for this role.

• AI data annotation
• Scientific research or published STEM research
• Scientific writing
• LLM evaluation frameworks
• Coding benchmarks
• Computational biology or related scientific programming

Build Your AI Training Career

OpenTrain helps contributors find and grow in AI training and data-labeling careers. By completing specialized coding and evaluation work, you can build a portfolio that demonstrates your biology, Python, scientific reasoning, and benchmark-design capabilities while contributing directly to how modern AI systems are assessed.

• Create an OpenTrain account for free
• Showcase specialized biology and coding expertise in your profile
• Apply to relevant AI training opportunities in minutes
• Develop a durable portfolio of scientific AI evaluation work