Life Sciences Research Assistant for AI Training

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

Benefits offered by this job

Flexible remote contract

Job summary

SaidGig is seeking a remote independent contractor to design and evaluate advanced life sciences tasks. You will craft real-world research-style assignments, critique experimental designs, and synthesize primary data from diverse sources.

Strong English writing and data-interpretation skills are essential. Responsibilities include creating multi-item rubrics, ensuring methodological rigor, and collaborating asynchronously with project coordinators.

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.
• Experience with protocol-driven, multi-source scientific workflows.
• Strong scientific reasoning, source synthesis, and methodological evaluation skills.
• Strong written English skills and experience drafting or reviewing scientific documentation.
• Comfort working with CSVs, spreadsheets, PDFs, and technical documents.
• Careful attention to detail, especially rubric fidelity and objective task design.

Responsibilities

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

Skills

Scientific reasoning

Source synthesis

Methodological evaluation

Written English

Attention to detail

Data interpretation

Education

Bachelor's or Master’s degree in biology or related field

Tools

CSV

Spreadsheets

PDFs

Job description

Role Overview

Apply life sciences expertise to help train and evaluate next-generation AI systems through rigorous, real-world research tasks. You will create advanced evaluation assignments grounded in authentic scientific materials, technical challenges, and multi-step problem-solving. Prior AI experience is not required.

Key Responsibilities

• Develop complex life sciences evaluation tasks, including experimental-design critiques, protocol analysis, and primary-data interpretation.
• Source and synthesize raw experimental data, laboratory protocols, technical literature, and supplementary materials.
• Document the correct methodological approach and biological interpretation for each task.
• Create comprehensive, multi-item rubrics that assess methodological rigor, data interpretation, and source fidelity.
• Ensure assignments reflect the ambiguity, nuance, and depth of real 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.
• Experience with protocol-driven, multi-source scientific workflows.
• Strong scientific reasoning, source synthesis, and methodological evaluation skills.
• Strong written English skills and experience drafting or reviewing scientific documentation.
• Comfort working with CSVs, spreadsheets, PDFs, and technical documents.
• Careful attention to detail, especially rubric fidelity and objective task design.

Work Terms

Remote independent-contractor engagement.

Compensation is output-based and paid per task that meets project specifications. Completion time varies by experience and workflow.

Minimum submission requirements apply, including a minimum number of tasks each week.

Selected candidates should be ready to begin their first tasks within 24 to 48 hours after completing onboarding.

Compensation

$30 to $50 per hour.