Computational Biology AI Evaluator (Remote, Expert)

About OpenTrain

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Why AI training in computational biology matters

AI training (data labeling, annotation, and model evaluation) is the human side of building modern AI. In computational biology, expert reviewers help models learn correct scientific reasoning, assess experimental workflows, and flag biologically implausible outputs so models are useful and reliable for researchers and practitioners.

This role places you at the intersection of biology, bioinformatics, and machine learning—contributing directly to how future tools reason about genomics, transcriptomics, structural biology, and systems biology.

The role

OpenTrain is recruiting a remote Computational Biology AI Evaluator to review, annotate, and benchmark AI-generated outputs in computational biology. Work focuses on scientific accuracy, relevance, and reasoning across genomics, transcriptomics, structural biology, and systems biology.

This is a part-time contractor role (20+ hours/week) performed remotely and available worldwide. Work is paid hourly (PAY_PER_HOUR) in USD at rates between $20 and $60 per hour.

• Data type: text (AI-generated scientific outputs, explanations, and workflow descriptions).
• Labeling tasks: evaluation/rating and classification.
• Employment: contractor, part-time; remote; English required.

What you'll do

You will evaluate AI outputs against scientific standards, annotate strengths and errors, and provide actionable feedback to improve models. Your reviews should include clear scientific rationale and suggested improvements that are understandable to both technical and non-technical stakeholders.

• Evaluate, annotate, and benchmark AI systems on computational biology tasks.
• Assess accuracy, relevance, and performance of model outputs with scientific reasoning.
• Review computational workflows and pipelines to identify strengths and weaknesses.
• Document observations with clear, actionable insight and communicate findings in writing.
• Stay current with developments in computational biology, bioinformatics, and ML in biology.

Requirements

Candidates must meet the substantive technical qualifications listed below. These are strict requirements because the work evaluates scientific correctness and computational workflows.

• PhD in Biology, Bioinformatics, or a closely related field, or equivalent industry or research experience.
• Proven experience in data-driven biological research and computational analysis workflows.
• Proficiency scripting in Python, R, or Bash.
• Familiarity with tools such as BWA, GATK, STAR, Salmon, Seurat, or Scanpy.
• Strong understanding of genomics, transcriptomics, structural biology, or systems biology.
• Excellent scientific reasoning, analytical, and written/verbal communication skills.
• Comfort working remotely and contributing to distributed teams.

Helpful background (not required)

These qualifications improve your fit but are not strictly required if you meet the core requirements above.

• Experience evaluating AI/ML or LLM outputs in a biology context.
• Hands-on experience with NGS pipelines, CRISPR workflows, AlphaFold, or PyMOL.
• Published research or open-source contributions in computational biology or bioinformatics.

How it works — apply and next steps

Create a free OpenTrain account, complete your profile highlighting relevant research and technical experience, and apply for this listing. Include examples of your computational biology work (publications, pipelines, code repositories) when possible.

Qualified applicants will be invited to a skills verification task and technical interview to confirm domain expertise and evaluation ability. Assignments will be remote, part-time contractor engagements paid hourly between $20 and $60 USD.

• Time commitment: 20+ hours/week, part-time contractor.
• Pay: hourly, USD $20–$60/hr (PAY_PER_HOUR).
• Labeling focus: text evaluation/rating and classification tasks.