AI training contract
Life Sciences Research Assistant
Science & Research · Advertised USD 30-50 an hour. · 50 openings
Life Sciences Research Assistant is contract work for micro1, reviewing and correcting what AI models produce in science & research. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. micro1 advertises USD 30 to USD 50 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: Methodological rigor, Source synthesis, Rubric fidelity, Data interpretation, Protocol fidelity.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Life Sciences Research Assistant Role Type: Contractor Location: Remote micro1 is engaging Life Sciences Research Assistants to contribute to a customer's project focused on creating next-generation AI benchmarks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. You'll design and author expert-level evaluation tasks, using authentic research artifacts and technical challenges that mirror advanced practice in the life sciences. Each assignment will test AI agents with realistic data sets, multi-step problem-solving, and rigorous evaluation rubrics that go beyond textbook science. Scope of Work Develop complex, authentic research evaluation tasks in the life sciences domain (e.g., experimental design critique, protocol analysis, and primary data interpretation). Source and synthesize research materials, including raw experimental data, lab protocols, technical literature, and supplementary documents. Define and document the correct methodological approach and biological interpretation for each task. Create comprehensive, multiple item rubrics targeting methodological rigor, data interpretation, and source fidelity for LLM-based evaluation. Ensure all tasks reflect the nuance, ambiguity, and depth of real-world scientific work — not simplified or hypothetical scenarios. Collaborate asynchronously with project coordinators for feedback and refinement of deliverables. Preferred Qualifications Bachelor's or Master's in biology, biomedical sciences, biochemistry, or a closely related discipline. Minimum 2 years of hands-on research or laboratory experience with primary data analysis and scientific protocols. Demonstrated expertise in protocol-driven, multi-source scientific workflows. Mastery of scientific reasoning, source synthesis, and methodological evaluation. Strong written English skills, with experience drafting or reviewing scientific documentation. Familiarity with handling diverse data formats (CSVs, spreadsheets, PDFs, technical documents). Attention to detail and commitment to rubric fidelity, ensuring high-quality, objective task design. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.