
Experimental Biologist & Physiologist (Lab)
Listing checked November 12, 2026 · pay as published by AfterQuery
Key details
- Pay
- $50/hr
- Location
- Remote
- Job type
- contract
- Posted
- November 11, 2026
Overview
AfterQuery builds expert data with leading AI labs, and this role puts your bench and greenhouse work at the center of that effort. You take the raw readouts you already know well, meaning cell counts, assay results, growth and physiology measurements, and isotope labeling runs, then turn them into research-level problems that test AI models. Compensation runs at $300 per approved task, about six hours of work each, which lands near $50 per hour. Contractors set their own schedule and take on as many tasks as they want. Accepted experts complete standard background and identity verification.
What You'll Do7
- Compose research-level problem statements that reflect real experimental work in your specialty
- Draw on your own plate-reader, cytometer or sensor exports to build problems grounded in actual measurements
- Analyze datasets from lab and greenhouse instruments with Python, and with R where it fits
- Account for controls and batch effects when you design the scenario behind each task
- Document your reasoning and the data sources so another expert can follow the work
- Set your own hours and decide how many tasks to accept each week
- Review your submissions for accuracy before sending them for approval
Requirements4
- Hands-on practice analyzing your own raw lab or greenhouse readouts in Python or a comparable language
- Clear technical writing that explains your field's methods to a reader outside the bench
- Comfort working alone, with no fixed weekly schedule and no supervisor assigning hours
- Direct experience handling real experimental data rather than purely computational or support duties
Preferred Qualifications6
- PhD or Master's in biology, biochemistry, plant science or a nearby field, plus several years of bench work
- A record of designing and analyzing your own experiments, with attention to controls and batch effects
- Research or postdoctoral lab experience
- Public code, a thesis or published papers that show your technical work
- Background in data annotation, data labeling or AI/ML evaluation
- Working knowledge of R
Who Should Apply
Bench scientists and postdocs in biology, biochemistry or plant science who analyze their own plate-reader, cytometer or greenhouse data and can write about methods with precision. The role suits people who want flexible, task-based contract work alongside research.
Salary Insight
$300 per approved task, with each task taking about six hours, which comes out near $50 per hour. There is no cap on how many tasks you accept. That rate sits at the higher end for expert data work of this kind and matches the profile of an experienced researcher with a graduate degree.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$50/hr
Taken from the listing itself.
Typical pay · estimated
$70/hour
Median of 1,265 similar roles that publish pay · 303 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $40–$100 per hour. This role's pay falls inside that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,453
- Listed in last 30 days
- 721
- Remote
- 98%
Hiring most right now: micro1 (420) · SME Careers (256) · Mercor (183)
Most requested skills · share of roles
- ai evaluation14%
- llm evaluation12%
- python11%
- data annotation11%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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