Remote Biotechnology Research Expert - AI Trainer

Role Overview

Mercor 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.

• 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 — 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 (e.g., sequencing pipeline accuracy, variant interpretation, pathway analysis, 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.

• Task Completion Pay:
  Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves).
• Performance Bonus:
  Top performers receive a weekly bonus incentive on top of their per task rate.
• Hourly Opportunity:
  Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.