Biology AI Training Jobs 2026: Remote Work for Biologists
PhD biologists, microbiologists, and lab scientists earn remote income training AI models. Learn how to use your life-sciences background and which platforms are hiring.
If you have a biology background, from a bachelor's degree to a PhD in molecular biology, and you're looking for flexible remote work that actually uses your training, this guide is for you.
AI labs building models that touch science, medicine, and biotech need real biologists to check the work. It means reviewing whether an AI's explanation of a cell signaling pathway holds up, whether its phylogenetic tree makes sense, or whether it's giving unsafe guidance on a synthetic biology question. We've reviewed platforms like Mercor, Micro1, and SME Careers to help you find the right fit.
This isn't about replacing lab or academic work. It's supplemental income that pays well for expertise you already have.
Why Your Biology Background Matters for AI
AI models can generate fluent-sounding biology content, but fluent isn't the same as correct. Models routinely confuse mechanisms, misapply terminology across species, get gene names or pathway steps wrong, and confidently state things that don't hold up under a trained eye.
To make these models reliable, companies need people who can:
- Catch subtle scientific errors that would slip past a non-specialist
- Verify that explanations align with current research and established mechanisms
- Write clear, well-reasoned feedback that a model can actually learn from
- Design realistic scientific scenarios and test questions from scratch
- Flag dual-use or safety-relevant content in sensitive subfields like synthetic biology
Your degree and lab experience are exactly what these platforms are paying for.
Opportunities by Specialty
Biology roles on these platforms break down by how specialized and technical the work is. Here's what's available at each level. Browse Turing, Mercor, and Micro1 job categories directly.
General Biologists & Biology Experts
These are the broadest entry points into biology AI work, open to BA/BS holders through PhDs. Turing and Micro1 both run tiered tracks (non-PhD vs. PhD), and SME Careers has a straightforward Biologist role for global applicants.
Common Tasks:
- Content Review: Evaluate AI-generated biology explanations, questions, and answers for accuracy
- Scenario Writing: Create realistic biological problems and reference answers for training data
- Feedback Documentation: Write detailed rationale explaining why an AI response is right or wrong
- STEM Reasoning Checks: Assess whether an AI's step-by-step scientific reasoning holds together
Best Platforms: Micro1 (deepest bench, clear PhD vs. non-PhD tracks), Turing (STEM Expert and Specialist tracks, some region-specific), SME Careers (global Biologist role, no Tier-1 restriction)
Typical Pay: $12-$40/hr for non-PhD tracks, $30-$90/hr for PhD-level roles
Time Commitment: Flexible, most roles are part-time and project-based
Biology Specialist
$15-30 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Biology STEM Expert
$30-70 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Biology Expert
$20-40 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Biology Expert (PhD)
$80-90 ? Estimated range. Actual pay varies by experience, location, and task type.
Molecular & Computational Biology
If your background sits at the intersection of biology and code, bioinformatics, computational modeling, or scientific programming, there's a distinct tier of roles that pay a premium for that combination.
Common Tasks:
- Code + Biology Review: Evaluate AI-written scientific code (Python, R) for correctness and biological validity
- Molecular Mechanism Checks: Verify AI explanations of molecular pathways, gene regulation, and protein interactions
- Research Quality Assessment: Review computational biology outputs for methodological soundness
- Model Design Input: Help structure biology-and-biophysics research collaborations for AI training data
Best Platforms: Mercor (Molecular Biology Experts, biophysics research collaborator tracks), Micro1 (Computational Biology Expert, PhD track pays more), Turing (Scientific Coding and Research Quality Specialist roles)
Typical Pay: $20-$105/hr, with Mercor's part-time biophysics researcher tracks reaching $125-$225/hr
Time Commitment: Mostly part-time, some project-based work with defined deliverables
Scientific Coding - Biology and Python
$20-50 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Research Quality Specialist - Computational Biology
$30-70 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Molecular Biology Experts
$70-110 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Biology & Biophysics Researchers (Part-time)
$130-230 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Computational Biology Expert
$90-120 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Computational Biology Expert (PhD)
$40-60 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Specialized Wet-Lab Expertise
Micro1 in particular runs a set of roles for specific wet-lab backgrounds: microbiology, plant biology, protein biochemistry, and cell/molecular biology with a stem-cell focus. These reward niche training that generalist reviewers don't have.
Common Tasks:
- Technique Verification: Check that AI descriptions of lab techniques (culturing, assays, cloning) are accurate
- Species/System-Specific Review: Catch errors specific to plant systems, microbial systems, or stem-cell biology
- Protein Structure & Function Checks: Verify AI claims about protein folding, function, and biochemical interactions
- Experimental Design Review: Evaluate whether AI-proposed experiments are methodologically sound
Best Platforms: Micro1 is currently the only platform of these five with dedicated wet-lab specialty tracks (Microbiologist, Plant Biologist, Protein Biochemist, Cell/Molecular Biologist)
Typical Pay: $40-$60/hr across these specialty tracks
Time Commitment: Part-time, remote, no equipment or lab access required
Biosecurity & Synthetic Biology
This is a distinct, higher-stakes niche worth calling out on its own. As AI models get better at biology, labs need experts who can identify when a model's output touches dual-use territory, meaning it could be misused for harm if handled carelessly. This work is defensive by design: you're helping models decline or redirect unsafe requests, not generating anything risky yourself.
Common Tasks:
- Dual-Use Risk Assessment: Evaluate whether AI outputs on gene editing or pathogen biology cross into unsafe territory
- Synthetic Biology Review: Check the scientific and safety accuracy of AI content on engineered biological systems
- Safety Guideline Alignment: Verify AI responses align with established biosecurity norms
- Red-Team Style Evaluation: Probe for gaps where a model might give harmful guidance without realizing it
Best Platforms: Micro1 runs the clearest dedicated Biosecurity & Synthetic Biology Expert role among these five platforms right now
Typical Pay: $50-$90/hr
Time Commitment: Project-based, often requires a background check or additional vetting given the sensitivity of the subject matter
Phylogenetics
Phylogenetics keeps showing up as its own recurring role across both Turing and Mercor, which makes it worth flagging as a repeatable niche rather than a one-off listing. If you work with evolutionary trees, sequence alignment, or comparative genomics, this is a specialty with an actual, ongoing pipeline of openings.
Common Tasks:
- Tree Construction Review: Verify AI-built phylogenetic trees against correct evolutionary relationships
- Sequence Analysis Checks: Confirm AI's handling of sequence alignment and comparative genomics is sound
- QA Review: Check other experts' phylogenetics submissions for accuracy before they're used in training data
- Domain Documentation: Write clear explanations of phylogenetic reasoning for non-specialist reviewers
Best Platforms: Mercor (dedicated Phylogenetics PhD and QA reviewer tracks), Turing (Phylogenetics Experts track)
Typical Pay: $30-$80/hr
Time Commitment: Project-based, recurring across multiple cohorts rather than a single one-off hire
Phylogenetics PhDs & Domain Experts — Zion (Arches)
$60-80 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Phylogenetics QA Reviewers — Zion (Arches)
$60-80 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Phylogenetics Experts
$30-70 ? Estimated range. Actual pay varies by experience, location, and task type.
/hr
Best Platforms by Role
Browse Turing, Mercor, Micro1, SME Careers, and AfterQuery job listings directly.
| Platform | Best For | Pay Range | Geography |
|---|---|---|---|
| Mercor | Molecular/computational biology, biophysics research, and phylogenetics | $35-$225/hr | Mostly remote-global, a few India- and Canada/Europe/UK-specific roles |
| Micro1 | The deepest bench overall: general biology, computational biology, wet-lab specialties, and biosecurity | $20-$90/hr | Remote, global |
| Turing | General biology, STEM reasoning, scientific coding, and phylogenetics | $12-$70/hr | Mix of remote-global and specific-country roles |
| SME Careers | Applicants outside the US/UK/EU looking for a straightforward entry point | $18-$75/hr | 40+ countries, no Tier-1 restriction; paid weekly via Deel |
| AfterQuery | Scenario design and evaluation work in science-adjacent domains | $35-$250/hr (platform-wide range) | Global |
A note on SME Careers: it's a solid global entry point with no Tier-1 restriction and weekly Deel payouts, but it currently has only a handful of biology roles compared to Mercor and Micro1's deeper bench. Use it as a starting point if you're outside the US/UK/EU, but don't expect the same breadth of specialty tracks you'll find elsewhere.
What the Work Looks Like
Most biology AI work falls into a few recurring formats. Here's what a typical task might involve:
Scenario 1: General Content Review (Biology Expert)
You're given an AI-generated explanation of cellular respiration aimed at an advanced student. Your job:
- Check every step of the mechanism for accuracy
- Confirm terminology is used correctly and consistently
- Flag any oversimplifications that cross into being wrong
- Write a short rationale explaining what needs to change and why
Time: ~15-30 minutes per item
Scenario 2: Computational Biology Code Review
An AI writes a Python script to analyze a gene expression dataset. Your job:
- Verify the biological assumptions built into the analysis are correct
- Check that the statistical approach matches the type of data
- Confirm the code actually does what the AI claims it does
- Note where the interpretation of results oversteps what the data supports
Time: ~30-60 minutes per task
Scenario 3: Phylogenetics Tree Verification
AI constructs a phylogenetic tree from a set of sequences. Your job:
- Check the tree topology against known evolutionary relationships
- Verify sequence alignment choices didn't introduce artifacts
- Confirm branch support values are interpreted correctly
- Document any errors clearly enough for a QA reviewer to follow
Time: ~30-45 minutes per tree
How to Get Started
Step 1: Gather Your Credentials
Have these ready before you apply:
- Degree certificate or transcript (BA/BS through PhD)
- CV highlighting your specific subfield (molecular, computational, wet-lab, etc.)
- Publications or research samples, if you have them
- Optional: writing samples that show clear scientific communication
Step 2: Choose Platforms Based on Your Profile
- If you're outside the US, UK, or EU: Start with SME Careers. It hires in 40+ countries with no Tier-1 restriction and pays weekly via Deel, though its biology bench is smaller than Mercor's or Micro1's
- If you have a PhD and a computational or molecular focus: Try Mercor first, its part-time researcher tracks pay the most
- If you have a wet-lab specialty: Micro1 is currently the only platform of these five with dedicated tracks for microbiology, plant biology, protein biochemistry, and stem-cell biology
- If you work in phylogenetics: Check Mercor and Turing first, both run recurring cohorts for this specialty
- If you're a BA/BS-level generalist: Turing and Micro1's non-PhD tracks are the easiest entry points
Step 3: Pass the Assessment
Most platforms have a qualification test. Tips:
- Block out uninterrupted time (1-2 hours)
- Use a desktop/laptop (not mobile)
- Read instructions carefully; they're testing attention to detail as much as knowledge
- Write clear, specific justifications for any errors you flag
Step 4: Set Up Payments
Most platforms use Deel or similar payroll services. You'll need:
- Bank account info for direct deposit
- Tax information (W-9 if US, tax ID if international)
- Contract details reviewed (you're typically an independent contractor)
Common Questions from Biologists
Do I need a PhD to get hired for biology AI training work? ▼
No. Several platforms have entry points for BA/BS and MS-level biologists, especially on general biology review tracks. That said, PhD holders get access to the highest-paying roles, particularly on Mercor and Micro1's PhD-specific tracks.
Is this the same as data labeling? ▼
Not really. Basic data labeling is repetitive and low-skill. This work asks you to evaluate scientific reasoning, write detailed feedback on biological content, and sometimes design test scenarios from scratch. It draws on your actual domain training, not just pattern recognition.
What if my specialty is narrow, like phylogenetics or plant biology? ▼
Narrow specialties are often in demand precisely because they're hard to staff. Roles like Phylogenetics PhDs, Plant Biologist, and Protein Biochemist exist because generalist reviewers can't cover that ground. If you have a niche background, look for the role that names it directly.
Do I need a lab or equipment to do this work? ▼
No. This is desk-based review and evaluation work: reading AI-generated content, checking it against your scientific knowledge, and writing feedback. You don't run experiments or touch physical samples.
How is this different from a postdoc or industry research job? ▼
It's part-time, remote, and contract-based rather than a lab position. Think of it as flexible income that runs alongside academic or industry work, not a replacement for a research career.
What does biosecurity and synthetic biology review involve, and is it safe work? ▼
These roles ask you to evaluate AI outputs for dual-use risk, meaning content that could be misused if a model gave unsafe guidance on pathogens or gene-editing techniques. The work is defensive: you're helping flag and prevent harmful outputs, not generating anything dangerous yourself.
Molecular & Computational Biology: Premium Rates
Contract Dependent
Mercor pays top dollar for PhD-level molecular biology, biophysics, and phylogenetics expertise.
Wet-Lab Specialists Wanted
Bi-weekly
Micro1 has dedicated tracks for microbiologists, plant biologists, protein biochemists, and more.
Outside the US? Start Here
Weekly (via Deel)
SME Careers hires biologists in 40+ countries, no Tier-1 restriction, paid weekly via Deel.
Related guides
Mercor review: premium rates for PhD-level biology, biophysics, and phylogenetics experts.
Micro1 review: the deepest bench of biology roles, including wet-lab specialties and biosecurity.
Turing review: general biology, STEM reasoning, and scientific coding roles.
SME Careers review: a global entry point for biologists outside the US, UK, and EU.
AfterQuery review: pay schedule and platform mechanics for scenario-design roles.
Browse Mercor jobs: current biology, biophysics, and phylogenetics openings.
Browse Micro1 jobs: current biology and wet-lab specialty openings.
Browse Turing jobs: current biology and STEM expert openings.
Pietro R.
MSc Human-Computer Interaction | Founder & Product Owner
Pietro is the founder and technical lead of aitrainer.work. He builds and maintains the platform's data pipeline, certification infrastructure, and editorial standards.