Experimental Biologist
DataAnnotation · 100% remote · Contract · Posted
- Pay
- $40–125/hr
- Location
- North America, Europe and Oceania
- Languages
- English
- Hours
- Flexible hours
- Openings
- Not listed
- Level
- Expert
Summary
Design experimental biology tasks and evaluate AI results against laboratory standards. Write grading rubrics and identify errors using raw data and experimental evidence.
What you'll do
- Design experimental tasks with prompts and supporting laboratory files.
- Grade AI experimental plans, quality control summaries, and troubleshooting reports.
- Write grading rubrics and explain assessment decisions.
- Identify ignored controls, incorrect normalization, missed outliers, and fabricated data.
Requirements
- At least 3 years designing and running laboratory experiments after undergraduate study.
- Specialized knowledge in at least one listed experimental biology field.
- Hands-on experience designing experiments and diagnosing failed runs.
- Ability to generate and check primary data using raw instrument output.
- Master's degree, PhD, or current PhD candidacy in biology or a related field.
- Specified graduate education completed in the United States, Canada, Europe, or the United Kingdom.
- Clear written English, comfort with ambiguity, and familiarity with AI tools.
- Based in the United States, Canada, or the United Kingdom; Ireland and Australia may also be accepted.
Skills
- Molecular Biology
- Cloning
- Cell Culture
- Protein Biochemistry
- Immunology
- Flow Cytometry
- Imaging and Histology
- Experimental Troubleshooting
Full description
Overview
We’re looking for experienced bench scientists to help train AI models. You’ll design realistic experimental-biology tasks from your own practice, run them through frontier AI systems, and grade what comes back against the standard you’d hold a colleague to.
The models can already talk fluently about biology. What they can’t yet do reliably is the real work: call a plate QC go/no-go, gate a flow panel, check a cloning strategy, or read a Western blot from the raw images. Your bench judgment becomes the benchmark those models are measured against.
What you’ll actually do
- Design realistic experimental tasks from your own workflows: the scenario, the prompt, and the supporting files an agent would need (plate maps and reader output, gel and blot images, flow summaries, protocols, QC records).
- Run tasks through frontier AI agents and grade the deliverable they produce (a QC summary, experimental plan, or troubleshooting memo) against a professional standard.
- Write clear grading rubrics that specify what a correct deliverable must contain (the right controls, the right wells excluded, the right diagnosis of a failed run), and explain why a response passes or fails.
- Flag concrete failures with evidence: controls ignored, edge effects and outliers missed, wrong normalization, plausible-sounding troubleshooting the raw data contradict, or fabricated values.
Problems draw on whatever you know best:
- Molecular and cell biology: cloning, cell culture, and cell-based assays.
- Protein biochemistry: purification, characterization, and assay development.
- Immunology and flow cytometry: panel design and gating.
- Imaging and histology, microbiology and virology.
- In vivo and preclinical work, plus lab operations and analytical sciences.
Roles this fits
Common backgrounds: Research Scientist, Molecular / Cell Biologist, Postdoctoral Fellow.
What we look for
- 3+ years designing and running experiments in a pharma, biotech, or academic research lab (counted after undergraduate study).
- Depth in at least one of: molecular biology and cloning; cell culture and cell-based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work.
- A hands-on practitioner who designs and troubleshoots experiments, not only executes SOPs: you can explain what each control is for and diagnose why a run failed.
- You generate and QC primary data, and can judge from raw instrument output whether a run is usable.
- Master’s or PhD (or current PhD candidate) in biology or a related field, completed in the U.S., Canada, Europe, or the UK.
- Clear written English, comfort with ambiguity, and familiarity with AI/LLM tools like Claude or ChatGPT.
- Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted).
Compensation
Up to $40 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
Location: Remote. Hours: Flexible hours. Type: Independent contractor. Payouts: Weekly.
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