[Hiring] Life Sciences Research Assistant @RemoteJobsOne

Role Description

This is a fully remote position, open to candidates based in Canada.

We are 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.

• 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.

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.

Requirements

• 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.

Benefits

• 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.

How to apply

Apply here with your Indeed profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.