Yes. Health AI training and evaluation work is carried out remotely, in your own time, at times of your choosing.

Do I need technical or coding skills?

No. Clinical judgement and real-world experience are what is required. Most tasks involve reading, reasoning, and writing assessing AI outputs, defining reference answers, and quality checking responses.

Is patient data involved?

No identifiable patient data is used.

Is this a job or freelance contract work?

This is contract project work, not employment. Most arrangements are flexible and task-based rather than salaried. You will be contracting directly with Mercor or Micro1, not with this site.

Can I do this alongside NHS or locum work?

In many cases yes subject to your employer's policy on secondary work and any conflicts of interest.

Biology Research Remote Work Side Gig

Applied Clinical Judgement

Remote AI training roles — Biology via Mercor

Eligibility

Assessing

Biologists · Chemists · Life Scientists · Remote AI Training

PhD scientists paid $40–$105/hour to catch what the AI gets wrong.

Your domain expertise is the qualification — no AI background needed.

AI companies need PhD-level biologists, chemists and life scientists to review scientific outputs and flag what the model got wrong. Part-time, remote, flexible hours around your research.

$40–$105per hour

Part-time10–15 hrs/week

RemoteWork from anywhere

No AI neededYour PhD is enough

Tap a role to see details & apply — 6 currently listed

These roles are listed via Applied Clinical Judgement (ACJ). ACJ earns a referral fee if you register — disclosed openly, no effect on your pay or application.

Adar Hiremath is the co-founder and CTO of Mercor. This short video walks through the application process, how projects are matched to your expertise, and what the work looks like day to day.

Angela is a medical expert working through Mercor. She describes what the projects involve, how the work fits around her existing commitments, and what it felt like to apply. While her background is clinical, the structure of the work is the same for scientific domain experts.

📖 What to expect before you apply — read more

📅

Asynchronous work

Tasks completed on your own schedule — no fixed shifts, no patient contact, no urgent deadlines.

📄

Scientific reasoning

Designing problems, evaluating AI outputs, writing reference answers and rubrics in your domain.

⏱

Your timeline

Onboarding takes 20–40 minutes. First paid task typically 1–6 weeks after approval.

Before you apply: Open the role card that best matches your background, check the requirements, and tick the confirmation box to enable the Apply button. The fit check quiz is optional but helps you assess eligibility. If you have not previously registered with Mercor, mention Sean Key and Applied Clinical Judgement as your referrer during onboarding.

Current roles

🇺🇸 USA 🇬🇧 UK 🇨🇦 Canada 🇦🇺 Australia 🇳🇿 New Zealand 👤 US persons only

Mercor is seeking PhD-level biologists to provide the scientific knowledge layer for an AI training programme — understanding what is biologically feasible, relevant pathogen biology, and laboratory protocols. You will review AI outputs, annotate scientific content, and ensure biological accuracy across a range of research questions. This role draws on deep expertise in microbiology, virology, or immunology to improve how frontier AI models reason about biological systems.

Key requirementsPhD in biology, microbiology, virology, immunology, or a closely related field. U.S. person currently located in a Five Eyes country (United States, United Kingdom, Canada, Australia, or New Zealand). Familiarity with molecular biology techniques (cloning, PCR, cell culture). Publication record in relevant subdomains is preferred. Experience interpreting primary research literature in biosecurity-adjacent areas is preferred. No H1-B or STEM OPT support.

Step 1 of 2 — Check your fit

Quick fit check — 6 questions

1. Your highest qualification

PhD in biology, microbiology, virology, immunology, or closely related field Master’s degree in a related field Bachelor’s degree or below

2. Location eligibility

I am a U.S. person currently located in the US, UK, Canada, Australia, or New Zealand I am a U.S. person but located outside a Five Eyes country I am not a U.S. person

3. Molecular biology techniques

Yes — I have hands-on experience with cloning, PCR, cell culture, or equivalent techniques Partial — familiar with these techniques, though primarily computational or supervisory experience No direct molecular biology laboratory experience

4. Publication record

Yes — I have peer-reviewed publications in biology, microbiology, virology, immunology, or a closely related area Preprints or co-authored contributions — not yet first-author peer-reviewed No publications yet

5. Primary research literature in biosecurity-adjacent areas

Yes — I regularly interpret primary literature in pathogen biology, biosecurity, or infectious disease Some exposure — I can interpret this literature but it is not my primary focus No — outside my current research domain

6. Weekly availability

15 hours or more per week 10–14 hours per week Fewer than 10 hours per week

Answer all questions above to unlock this button.

Confirm and apply

Your email address (for referral record)

I confirm I am new to Mercor (not previously registered or referred by anyone else), I am not a current Mercor employee or contractor, I understand this is independent contractor work with no guaranteed earnings, and I consent to Sean Key of Applied Clinical Judgement (applied-clinical-judgement.co.uk) referring me to Mercor. Apply on Mercor →

🇺🇸 USA 🇬🇧 UK 🇨🇦 Canada 🇦🇺 Australia 🇳🇿 New Zealand 👤 US persons only

Mercor is seeking expert bioinformaticians for a Docker toolkit curation project with one of the world’s leading AI labs. In this role you will specify the complete set of bioinformatics tools needed to solve specific classes of computational biology problems. You will review representative problems and validate the final toolkit to solve these — your selections directly shape how frontier models approach real scientific problems. This is a toolkit specification role, not a problem-solving role: you are selecting and validating tools, not writing code or producing solutions. The engagement runs for approximately two weeks from onboarding, with assignments distributed by problem class based on your domain expertise. A short screening questionnaire assesses subdomain expertise and tool familiarity.

Key requirementsPhD or Master’s degree in bioinformatics, computational biology, genomics, or a closely related field. Hands-on experience with at least 3 of the following: protein structure analysis, variant effect prediction, RNA-seq/expression analysis, ChIP-seq/epigenomics, single-cell analysis, CRISPR screen analysis, molecular docking, or cheminformatics. Deep familiarity with the standard tool ecosystem for your subdomain (e.g. Rosetta, FoldX, DESeq2, MAGeCK, AutoDock Vina, HOMER, scanpy). Proficiency in Python and/or R for bioinformatics workflows. Familiarity with command-line tools (samtools, BEDTools, BLAST). No H1-B or STEM OPT support.

Step 1 of 2 — Check your fit

Quick fit check — 6 questions

1. Your highest qualification

PhD in bioinformatics, computational biology, genomics, or closely related field Master’s degree in bioinformatics, computational biology, genomics, or closely related field Bachelor’s degree or below / different field

2. Subdomain hands-on experience

I have hands-on experience in 3 or more of: protein structure analysis, variant effect prediction, RNA-seq, ChIP-seq/epigenomics, single-cell analysis, CRISPR screen analysis, molecular docking, cheminformatics I have hands-on experience in 1–2 of the above areas with deep expertise in at least one I have limited or no hands-on experience in these areas

3. Tool ecosystem knowledge

Strong — I have deep familiarity with the standard tools in my subdomain and know what I would install before starting a problem Moderate — familiar with the main tools in my area, though not across all subdomains Limited — not confident selecting or validating bioinformatics toolkits

4. Programming proficiency

Proficient in Python and/or R for bioinformatics workflows Comfortable in one of Python or R — can run and understand bioinformatics pipelines Limited programming experience in either language

5. Command-line bioinformatics tools

Familiar — I regularly use samtools, BEDTools, BLAST, or equivalent command-line tools Some familiarity — I have used these tools but they are not central to my current workflow No experience with command-line bioinformatics tools

6. Availability for a 2-week engagement

Yes — I can start within 1–2 weeks and commit to a focused 2-week project Possibly — I may have capacity in the coming weeks Not available in the near term

Answer all questions above to unlock this button.

Confirm and apply

Your email address (for referral record)

🌎 Worldwide — no geography restriction

This is not a specific project posting — it is an open application to join Mercor’s Biologist Expert Network. By applying, you enter the pool from which Mercor matches biologists to AI training projects as they become available. You apply once, complete your profile and pass an AI interview, and Mercor then invites you to interview for specific opportunities that match your expertise and schedule preferences. Projects in the network span molecular and cellular biology, experimental design, lab research, data analysis in life sciences, and domain-specific feedback for AI research. Typical project commitments run from 15 to 30 hours per week. Payments are processed weekly via Stripe or Wise. No specific geography restriction applies to the talent network itself, though individual projects within it may carry location requirements.

Key requirementsProfessional experience in molecular and cellular biology techniques, experimental design and lab research, or data analysis in life sciences. Strong written communication skills in English. Ability to work independently in a remote environment. No H1-B or STEM OPT support at this time.

Step 1 of 2 — Check your fit

Quick fit check — 5 questions

1. Your qualification and background

PhD, MD/PhD, or equivalent doctoral degree in a biological science Master’s degree with significant research or industry experience in biology Bachelor’s degree or below

2. Hands-on biology experience

Yes — molecular and cellular techniques, experimental design, or lab research Primarily computational biology or bioinformatics with some wet-lab exposure No direct biology laboratory or research experience

3. Written English proficiency

Advanced or above — comfortable producing professional scientific writing Intermediate or below

4. AI tools familiarity

I use LLMs regularly and am confident evaluating their scientific outputs Familiar with AI tools — occasional use of ChatGPT, Claude, or similar No experience with AI tools

5. Weekly availability

15 hours or more per week 10–14 hours per week Fewer than 10 hours per week

Answer all questions above to unlock this button.

Confirm and apply

Your email address (for referral record)

Additional roles on Micro1

🇺🇸 USA 🇨🇦 Canada 🇬🇧 UK 🇪🇺 EU

Micro1 is seeking a Cell Biologist to support AI training by contributing domain expertise in experimental systems and cellular mechanisms. You will apply your knowledge of mammalian cell culture, transfection methods, and clonal isolation to help AI teams understand experimental variability and biological processes. Work involves reviewing AI outputs, annotating scientific content, and ensuring biological accuracy — all done remotely and on a flexible contract basis.

Key requirements Bachelor’s degree or higher in Biology or Cell Biology. Minimum 1 year hands-on mammalian cell culture. Proficiency in transfection and clonal isolation. Strong written communication. Ability to work independently in a remote environment. No H1-B or STEM OPT support at this time.

Quick fit check — 5 questions

1. Your highest qualification in this field

Bachelor’s degree or higher in Biology, Cell Biology, or a related field Degree in an unrelated science discipline No relevant degree

2. Mammalian cell culture experience

Yes — at least 1 year of hands-on mammalian cell culture Limited exposure — observed or assisted but not primary operator No hands-on experience

3. Transfection methods and clonal isolation

Proficient in both transfection and clonal isolation techniques Experienced in one of the two techniques No experience with either

4. Documenting experimental variability

Yes — I routinely assess and document sources of variability across model systems Occasionally — some experience with variability analysis Not part of my current workflow

5. Remote independent working

Experienced remote worker — comfortable managing my own schedule and output Primarily office or lab-based — limited remote experience

Answer all questions above to unlock this button.

Confirm and apply

Your email address (for referral record)

I confirm I am new to Micro1 (not previously registered or referred by anyone else), I am not a current Micro1 employee or contractor, I understand this is independent contractor work with no guaranteed earnings, and I consent to Sean Key of Applied Clinical Judgement (applied-clinical-judgement.co.uk) referring me to Micro1. Apply on Micro1 →

🇺🇸 USA 🇨🇦 Canada 🇬🇧 UK 🇪🇺 EU

Micro1 is looking for a Computational Biology & Genomics Analyst to review analytical rubrics and ensure rigour in genomics data workflows. You will evaluate sequence alignment strategies, assess CRISPR design tools, interpret large-scale genomics datasets, and contribute to bioinformatics standards — all in a remote, expert-level contractor role supporting AI training programmes.

Key requirements Advanced degree (MS or PhD) in computational biology, bioinformatics, genomics, or a related field. Expertise in sequence alignment. Familiarity with CRISPR design tools. Experience with large-scale genomics data. Strong written communication skills. No H1-B or STEM OPT support at this time.

Quick fit check — 5 questions

1. Highest qualification in this field

Advanced degree (MS or PhD) in computational biology, bioinformatics, genomics, or a closely related field Bachelor’s degree in a related field No relevant degree

2. Sequence alignment expertise

Expert — I work with sequence alignment tools regularly in my research or work Familiar — I understand the methods but don’t apply them routinely No direct experience

3. CRISPR design tools

Yes — I have used computational tools for CRISPR guide design or off-target analysis Aware of the tools but no hands-on computational use No experience

4. Large-scale genomics data analysis

Yes — I routinely interpret and synthesise large-scale genomic or multi-omics datasets Some experience — worked with moderate-scale datasets No direct experience with genomics data at scale

5. Bioinformatics pipeline development or quality review

Yes — I have built, contributed to, or formally reviewed bioinformatics pipelines or analytical rubrics I have used established pipelines but not developed or reviewed them No experience in this area

Answer all questions above to unlock this button.

Confirm and apply

Your email address (for referral record)

🇺🇸 USA 🇨🇦 Canada 🇬🇧 UK 🇪🇺 EU

Micro1 is seeking a Molecular Biologist with expertise in CRISPR and gene editing to advance AI training projects. You will design and optimise molecular biology workflows, perform genotyping and PCR-based assays, design synthetic sequences, and collaborate with interdisciplinary teams to translate experimental data into structured formats for AI model training — all on a flexible remote contract.

Key requirements Bachelor’s degree or higher in Molecular Biology or Biology. Expertise in CRISPR and gene editing. Hands-on experience with cloning, genotyping, and PCR. Background in sequence design. Excellent documentation standards. No H1-B or STEM OPT support at this time.

Quick fit check — 5 questions

1. Your highest qualification in this field

Bachelor’s degree or higher in Molecular Biology, Biology, or a closely related field Degree in an unrelated science discipline No relevant degree

2. CRISPR and gene editing

Expert — I have designed, executed, and optimised CRISPR-based gene editing experiments Assisted with CRISPR experiments but not led them independently No hands-on experience

3. Cloning, genotyping, and PCR-based assays

Proficient in all three — cloning, genotyping, and PCR Proficient in two of the three techniques Experience with one or none

4. Synthetic DNA/RNA sequence design

Yes — I design synthetic sequences and contribute to molecular screening strategies Limited — familiar with the concepts but not a primary part of my work No experience in this area

5. Documenting experimental procedures for reproducibility

Yes — rigorous documentation is a consistent part of my experimental practice Informally — I document but not to a formal standard Documentation is not a strong focus of my current role

Answer all questions above to unlock this button.

Confirm and apply

Your email address (for referral record)

Sean Key

Digital Health Senior Programme Manager · 29 years’ NHS & private sector experience

I run Applied Clinical Judgement to connect researchers and scientists to AI training roles on platforms like Mercor and Micro1. I contacted you because your published research suggests you have the kind of domain expertise these platforms are actively looking for. Not a scientist myself — my background is digital health programme management. ACJ earns a referral fee if you register; this is disclosed openly and has no effect on your pay or how Mercor assesses you.

LinkedIn Book a call How I found your email

Applied Clinical Judgement (PRAG-DEL-SOL-ONE LTD) is a referral service. ACJ earns a fee when a referred candidate is matched and completes paid project work. Mercor pays this fee — it doesn’t affect your pay rate or application outcome. All roles are independent contractor engagements via Mercor — not employment.

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Last Reviewed:

April 16, 2026