Biotechnology Research Expert

About this role

**Role Overview**\n\nMercor is partnering with leading AI labs to engage experienced biotechnology research scientists — molecular biologists, genomicists, proteomics specialists, and biotech R&D professionals — to improve AI systems' reasoning around biological research methodologies, data interpretation, and experimental design. Contributors will apply their expertise in areas such as next-generation sequencing, protein structure and function, molecular cloning, and drug discovery research to evaluate and enhance AI performance on biotechnology research-specific tasks. This is a project-based opportunity with potential for ongoing engagement depending on performance and project needs.\n\n**Key Responsibilities**\n\n- Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies\n \n- Create realistic scenarios based on laboratory and research workflows — gene expression analysis, CRISPR experimental protocols, proteomics data interpretation, assay development, and preclinical research planning\n \n- Annotate, label, and validate data across biotech research use cases (e.g., sequencing pipeline accuracy, variant interpretation, pathway analysis, molecular target identification)\n \n- 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\n \n- Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI\n \n\n**Ideal Qualifications**\n\n- 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology\n \n- Background in one or more areas such as:\n \n - Genomics and next-generation sequencing (NGS) — library prep, variant calling, bioinformatics pipelines\n \n - Proteomics — mass spectrometry, protein expression, structural biology\n \n - Molecular biology — cloning, gene editing (CRISPR/Cas9), PCR, cell culture\n \n - Drug discovery or target identification (lead optimization, HTS, biomarker development)\n \n - Bioinformatics or computational biology supporting wet-lab research\n \n- Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred\n \n- Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization\n \n- Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks\n \n- Clear written communication and attention to detail\n \n\n**Compensation Note**\n\n- **Task Completion Pay:** Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)\n \n- **Performance Bonus:** Top performers receive a weekly bonus incentive on top of their per task rate!\n \n- **Hourly Opportunity:** Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Life, Physical, and Social Science