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Computational Life Sciences Task Designer

Create realistic, multi-step computational life sciences tasks that test how AI agents use data, code, and scientific reasoning. This remote five-week contractor assignment pays $280 per approved task.

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OpenTrain AI

Coding & Software

100% Remote Per task · $280/label

$280/label

Compensation

Contract, part-time

Engagement

Remote

Location

Sep 22, 2026

Posted

Open worldwide

The work

You will design challenging tasks that test whether AI agents can complete authentic, multi-step scientific work. Each task should require agents to use scientific data, run code, troubleshoot results, and produce scientifically valid outputs.

You will turn real research workflows into bounded tasks with clear instructions and objective grading. Your work will help distinguish scientific reasoning and execution from simple memorization.

  • Design computational workflows across the life sciences.
  • Create realistic input files, datasets, instructions, constraints, and expected deliverables.
  • Develop reproducible expert solutions and verifiable ground truths.
  • Build automated or semi-automated grading criteria.
  • Check scientific assumptions, calculations, code, intermediate results, and final answers.
  • Refine tasks in response to reviewer feedback.

What it pays and takes

This is a remote contractor assignment lasting five weeks. The role requires strong computational research ability and the judgment to validate both scientific reasoning and technical results.

  • Pay: $280 per approved task.
  • Schedule: At least 40 hours per week, with four hours of overlap with Pacific Time.
  • Listing commitment: 20 or more hours per week.
  • Location: Open worldwide; remote work is required.
  • Language: English fluency is required.
  • Education: A Ph.D., postdoctoral experience, or equivalent research experience in the life sciences.
  • Programming: Strong scientific programming experience, especially in Python.
  • Experience: Multi-step computational scientific analysis and independent validation of computational outputs.
  • Useful background: Bioinformatics, computational genomics, systems biology, computational neuroscience, biostatistics, computational drug discovery, computational biochemistry, structural biology, protein engineering, or computational microbiology.
  • Valued skills: Scientific libraries, command-line tools, reproducible research pipelines, and translating research workflows into objectively gradable tasks.
  • Benefits: This assignment does not include medical or paid leave.

How it works

OpenTrain is the hiring and contracting organization for this role. Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from examples, including checking code, evaluating answers, and preparing data. Experienced researchers are paid to create and review demanding examples so AI systems can handle real scientific problems more accurately.

Requirements

  • Experience: Entry level
  • Languages: English

How to apply

  1. Apply here on OpenTrain. You create a free account, and we send you to the hiring platform.
  2. Complete your application on the hiring platform.

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