Computational Biology AI Evaluation Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build a professional profile, and grow their experience in a rapidly expanding field.

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists review model outputs, create benchmark examples, test realistic workflows, and provide feedback that helps AI systems become more capable and reliable. This work is remote and can offer flexible schedules for professionals with valuable subject-matter expertise.

The Role

OpenTrain AI is recruiting a Computational Biology AI Evaluation Expert to assess and improve AI coding agents through authentic computational biology work. You will apply practical domain judgment to sequence generation, technical problem-solving, codebase navigation, debugging, and solution architecture.

This contractor opportunity is designed for a STEM professional who can evaluate how AI coding tools perform in complex technical settings. Prior AI training experience is not required, but hands-on computational biology expertise and practical experience with AI coding agents are required.

• Employment type: Part-time contractor
• Schedule: 20+ hours per week
• Work arrangement: Remote, worldwide
• Language: English
• Pay: $80–$100 per hour

What You'll Do

You will complete structured assignments that evaluate AI coding agents in computational biology contexts. The work focuses on demonstrating authentic technical workflows, documenting outcomes, and turning your experience into useful benchmark data and actionable feedback.

• Use Codex, Claude Science, Claude Code, Claude Cowork, or comparable AI coding agents in realistic workflows.
• Complete sequence-generation and other multi-step computational biology tasks.
• Navigate large codebases, debug intricate issues, implement end-to-end features, and manage architectural changes.
• Document your approaches, workflows, technical decisions, and outcomes rather than relying on simple conversational interactions.
• Review model performance, usability, and suitability for professional STEM environments.
• Evaluate sequence-generation workflows and explain technical outcomes in detail.
• Contribute insights that inform model improvements and computational biology benchmarks.
• Communicate technical findings clearly in written and verbal form.
• Discuss tool iterations, ambiguous requirements, and novel problem spaces with the project team.

Requirements

You should be an active STEM practitioner with hands-on computational biology experience and a track record of solving complex technical problems in the field. Strong technical judgment is important, particularly when assessing whether an AI-generated solution is accurate, usable, and suitable for professional computational biology work.

• Hands-on computational biology expertise applied to complex technical problems.
• Practical experience using Codex, Claude Science, Claude Code, Claude Cowork, or comparable AI coding agents.
• Experience navigating large codebases and debugging complex issues.
• Experience implementing end-to-end features or managing architectural changes.
• Ability to generate or evaluate sequences and explain technical problem-solving processes.
• Ability to evaluate technical outcomes and provide clear feedback on model performance and usability.
• Strong written and verbal communication skills.
• Nuanced judgment about model quality and suitability for professional STEM environments.
• Ability to adapt tools and approaches to unclear or novel technical challenges.

Who Should Apply

This role is a strong fit for computational biology professionals who enjoy testing emerging AI tools against demanding, realistic technical workflows. You do not need prior AI training experience, but you should be comfortable explaining your reasoning, evaluating technical tradeoffs, and communicating detailed feedback.

The listed experience level is entry level, while the role itself requires specialized computational biology expertise and practical technical experience. Contractors worldwide may apply, provided they can work in English and commit to 20 or more hours per week.

Why Work With OpenTrain

OpenTrain helps professionals build careers in AI training and data labeling while working on the human side of cutting-edge AI development. Your work can contribute directly to improving how AI systems handle specialized technical problems.

As an OpenTrain contractor, you can build a profile that reflects your AI training experience, discover projects aligned with your expertise, and develop a durable portfolio of work in this fast-growing industry.