Engage with leading AI labs as a biotechnology research expert, contributing your knowledge in molecular biology, genomics, proteomics, and biotech R&D to enhance AI systems'' reasoning in biological research methodologies, data interpretation, and experimental design. This project-based role allows you to leverage your expertise in areas such as next-generation sequencing and drug discovery research to evaluate and improve AI performance on biotechnology research-specific tasks.

• Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies.
• Create realistic scenarios based on laboratory and research workflows, including gene expression analysis, CRISPR experimental protocols, proteomics data interpretation, assay development, and preclinical research planning.
• Annotate, label, and validate data across biotech research use cases, such as sequencing pipeline accuracy, variant interpretation, pathway analysis, and molecular target identification.
• Provide structured feedback on AI accuracy in areas such as molecular biology techniques, genomics and proteomics standards, regulatory guidelines for research (GLP, IRB requirements), and scientific literature interpretation.
• Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI.

• 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology.
• Background in one or more areas such as:
• Genomics and next-generation sequencing (NGS), library prep, variant calling, bioinformatics pipelines.
• Proteomics, mass spectrometry, protein expression, structural biology.
• Molecular biology, cloning, gene editing (CRISPR/Cas9), PCR, cell culture.
• Drug discovery or target identification (lead optimization, HTS, biomarker development).
• Bioinformatics or computational biology supporting wet-lab research.
• Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred.
• Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization.
• Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks.
• Clear written communication and attention to detail.

This is a one-time project-based opportunity with potential for ongoing engagement based on performance and project needs.

Competitive pay based on task quality, ranging from $1, 150 to $1, 450 per completed task, subject to change as the project evolves. Top performers may receive a weekly bonus incentive in addition to their per task rate and may be invited to transition to an hourly compensation model based on sustained quality and throughput.

This role is open to qualified candidates regardless of location, with remote work flexibility.