Biology & Biophysics Research Collaborator

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We make it easy to find specialized projects, consolidate opportunities, and grow a durable freelance career teaching AI systems.

We work with contributors across disciplines to build high-quality training data that shapes how modern AI models reason, interpret literature, and design experiments.

Why AI training matters

AI training (also called data labeling or human feedback work) is the human side of building modern AI systems. Experts annotate, evaluate, and craft examples so models learn accurate scientific reasoning and experimental judgment.

This work is a high-impact, flexible way to contribute your domain expertise to cutting-edge AI research while earning contractor pay on your own schedule.

• Great for researchers who want flexible, remote-friendly contract work while staying active in science
• Directly influences how frontier models handle mechanism prediction, experimental design, and literature interpretation

The role

We are hiring Biology & Biophysics Research Collaborators to support scientific reasoning tasks for frontier AI systems. You will review primary research for rigor and novelty, craft challenging evaluation problems, and judge model outputs against the standards an active researcher would apply.

This role is designed for individuals operating at the edge of molecular biology, biophysics, structural biology, immunology, neuroscience, genomics, and related life-science disciplines.

What you'll do

• Review biology and biophysics research papers for rigor, novelty, and scientific validity
• Author and critique challenging problems and prompts used to train and evaluate models
• Evaluate model outputs on mechanism prediction, experimental design, and literature interpretation
• Identify failure modes and subtle errors that a working PhD researcher would catch quickly
• Collaborate with a small program team and other senior contributors to refine tasks and scoring rubrics

Required qualifications

You must have a demonstrable record of high-quality, frontier-level research and active research experience.

• First-author or co-first-author publications in top scientific journals
• Doctoral or postdoctoral training in the life sciences or a related STEM field
• Current or recent active research experience (PhD candidate, postdoc, faculty, principal scientist, industry researcher, etc.)
• Experience reviewing research for rigor, novelty, and scientific validity
• Ability to author challenging scientific questions for model training and evaluation

Preferred background

• Competitive fellowships (HHMI, NIH F31/F32/K99, NSF GRFP/PRF, Damon Runyon, etc.)
• Named PI or Co-Investigator grants, patents, or spin-out company experience
• Strong publication record and evidence of frontier-level research output

Logistics, compensation, and scope

Commitment: 20+ hours per week. Employment: contractor, part-time. Location: applicants must be located in the United States.

Data and task types: document-focused tasks involving evaluation ratings and text-generation assessment.

Compensation: pay-per-hour at USD $80–$110/hour (listed hourly rate $110/hr; range $80–$110).

• Languages: English required
• Employment types: CONTRACTOR, PART_TIME
• Labeling/data type: DOCUMENT; label types include EVALUATION_RATING and TEXT_GENERATION

Who should apply and how it works

This role is a strong fit if you are an active life-science researcher with a track record of first-author work and want to apply your judgment to improve how AI models reason about biology.

To apply, create a free OpenTrain account, complete your profile with publication and research details, and submit an application through the OpenTrain platform. Successful candidates will work as contractors and collaborate with a small program team.