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Why this grade This listing scored 83/100, which is a B. It lost the most ground on corroboration. See the breakdown
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Research & Development Entry level Contractor
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.
Originally posted on Himalayas
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Where this listing came from
- 17 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.