Computational Life Sciences Task Designer

OpenTrain AI, Inc.; United States; Remote; USD 51,000 - 76,000; Part time

Job summary

OpenTrain AI, Inc. seeks a Computational Life Sciences Task Designer to craft multi-step workflows that test AI agents on data inspection, code execution, problem solving, and result explanation. This remote, part-time contractor role centers on turning real workflows into self-contained tasks for reproducible evaluation.

The ideal candidate holds a Ph.D. or equivalent experience in life sciences, with strong Python programming and a track record of designing gradable, authentic tasks for

Qualifications

• Ph.D., postdoctoral experience, or equivalent research experience in life sciences.
• Strong Python programming experience.
• Experience with multi-step computational analyses and reproducibility.
• Experience designing graded tasks from authentic workflows.

Responsibilities

• Turn real computational life sciences workflows into self-contained tasks for evaluating AI agents.
• Create input files, datasets, instructions, constraints, and expected deliverables.
• Build tasks with executable code, reproducible solutions, and objectively verifiable results.
• Create automated grading criteria to measure reasoning and execution.
• Make sure tasks run reproducibly in controlled environments without network access.
• Use reviewer feedback to maintain task quality and throughput.

Skills

Python programming

Scientific programming

Data inspection

Education

Ph.D. in life sciences

Postdoctoral experience

Tools

Command-line tools

Reproducible pipelines

Job description

Computational Life Sciences Task Designer

Design multi-step computational life sciences tasks that test whether AI agents can inspect data, run code, solve problems, and explain results. This remote contractor role pays $280 per approved task.

$280/label

Compensation

Contract, part-time

Engagement

Remote

Location

Sep 22, 2026

Posted

The work

You will turn real computational life sciences workflows into self-contained tasks for evaluating AI agents. Each task should test practical scientific work, from inspecting data and choosing methods to running code, troubleshooting, analyzing results, and presenting conclusions.

• Create input files, datasets, instructions, constraints, and expected deliverables.
• Build tasks with executable code, reproducible solutions, and objectively verifiable results.
• Check scientific assumptions, calculations, code, intermediate outputs, and final answers.
• Create automated or partly automated grading criteria that measure scientific reasoning and execution.
• Make sure tasks run reproducibly in controlled environments without network access.
• Use reviewer feedback while maintaining task quality and throughput.

What it pays and takes

This is a remote contractor assignment for a five-week contract. The work requires regular availability and a four-hour overlap with Pacific Time.

• Pay: $280 per approved task.
• Time: 20 or more hours per week.
• Education: Ph.D., postdoctoral experience, or equivalent research experience in the life sciences.
• Programming: Strong scientific programming experience, especially in Python.
• Analysis: Experience with multi-step computational scientific analyses and independently checking scientific reasoning and computational outputs.
• Task design: Ability to create bounded, objectively gradable tasks from authentic research workflows.
• Helpful background: Bioinformatics, computational genomics, systems biology, computational neuroscience, biostatistics, computational drug discovery, computational biochemistry, structural biology, protein engineering, or computational microbiology.
• Helpful tools: Scientific libraries, command-line tools, and reproducible research pipelines.

About AI training work

AI training work uses examples prepared and reviewed by people to improve how artificial intelligence systems perform. In this role, your scientific expertise helps create reliable tasks that test whether AI agents can carry out real computational research workflows.

Requirements

• Experience: Entry level