Life Sciences Research Assistant

SaidGig; New York (NY); Remote; USD 41,000 - 69,000; Part time

Benefits offered by this job

Remote work

Job summary

SaidGig seeks a life sciences task designer to help train future AI systems by creating expert-level evaluation tasks from authentic research artifacts. You will craft problems that require multi-step reasoning and rigorous rubrics, testing AI agents on real data and protocols.

Prior AI experience is not required; strong scientific foundation matters most. Remote contract engagement with payment tied to task quality and project specs.

Qualifications

• Bachelor''s or Master''s degree in biology, biomedical sciences, biochemistry, or a closely related field.
• At least 2 years of hands-on research or laboratory experience involving primary data analysis and scientific protocols.
• Demonstrated ability to work in protocol-driven, multi-source scientific workflows.
• Strong scientific reasoning, source synthesis, methodological evaluation, and data interpretation skills.
• Strong written English skills and experience drafting or reviewing scientific documentation.
• Comfort handling CSVs, spreadsheets, PDFs, and technical documents.
• Close attention to detail and a commitment to rubric fidelity and objective task design.

Responsibilities

• Develop complex life sciences evaluation tasks, including experimental design critiques, protocol analyses, and primary data interpretation.
• Source and synthesize raw experimental data, laboratory protocols, technical literature, and supplementary materials.
• Define and document the appropriate methodological approach and biological interpretation for each task.
• Create comprehensive, multi-item evaluation rubrics focused on methodological rigor, data interpretation, and source fidelity.
• Ensure assignments reflect the nuance, ambiguity, and depth of real-world scientific work rather than simplified or hypothetical scenarios.
• Collaborate asynchronously with project coordinators to refine deliverables.

Skills

Scientific reasoning

Data interpretation

Source synthesis

Rubric design

English writing

Education

Bachelor's degree in biology or related field

Master's degree preferred

Tools

CSV handling

Spreadsheets

PDFs

Technical documents

Job description

Role Overview

Apply life sciences expertise to help train next-generation AI systems by creating expert-level evaluation tasks based on authentic research artifacts and technical challenges. Your work will test AI agents with realistic datasets, multi-step problem-solving, and rigorous rubrics that reflect advanced scientific practice. Prior AI experience is not required.

Key Responsibilities

• Develop complex life sciences evaluation tasks, including experimental design critiques, protocol analyses, and primary data interpretation.
• Source and synthesize raw experimental data, laboratory protocols, technical literature, and supplementary materials.
• Define and document the appropriate methodological approach and biological interpretation for each task.
• Create comprehensive, multi-item evaluation rubrics focused on methodological rigor, data interpretation, and source fidelity.
• Ensure assignments reflect the nuance, ambiguity, and depth of real-world scientific work rather than simplified or hypothetical scenarios.
• Collaborate asynchronously with project coordinators to refine deliverables.

Qualifications

• Bachelor''s or Master''s degree in biology, biomedical sciences, biochemistry, or a closely related field.
• At least 2 years of hands-on research or laboratory experience involving primary data analysis and scientific protocols.
• Demonstrated ability to work in protocol-driven, multi-source scientific workflows.
• Strong scientific reasoning, source synthesis, methodological evaluation, and data interpretation skills.
• Strong written English skills and experience drafting or reviewing scientific documentation.
• Comfort handling CSVs, spreadsheets, PDFs, and technical documents.
• Close attention to detail and a commitment to rubric fidelity and objective task design.

Work Terms

• Remote contract engagement.
• Work is completed on an output basis, with payment tied to tasks that meet project specifications.
• Completion time varies based on experience and workflow.
• Minimum weekly task-submission requirements apply.
• Selected candidates should be ready to begin their first tasks within 24 to 48 hours after completing the required selection and onboarding steps.

Compensation

Compensation is stated at $30 to $50 per hour, with pay structured per qualifying task submitted according to project specifications.