Molecular Biologist for AI Model Training
$70 - $105 per hourSaidGig
Role Overview
Apply your molecular biology expertise to improve foundational generative AI models by creating and evaluating high-quality training data for complex sequence-design problems. You will work closely with research and engineering teams to identify gaps in molecular biology reasoning and establish expert-backed standards for accurate model performance.
Key Responsibilities
- Identify where AI models struggle with molecular biology reasoning and help address those gaps with research and engineering partners.
- Create challenging, domain-specific tasks and well-documented ground-truth solutions involving PCR, qPCR, and cloning primers; plasmids and expression vectors; CRISPR gRNA and sgRNA; mRNA and RNA constructs; and HDR or repair templates.
- Evaluate molecular biology tasks and model responses against expert-quality solutions, providing clear written feedback on correctness, rigor, and biological reasoning.
- Develop guidelines and scoring rubrics for sequence-design quality, including guide and target selection, homology-arm length, primer melting temperature and specificity, codon optimization, and regulatory elements.
- Collaborate with other subject-matter experts to maintain accurate, consistent training data.
Qualifications
- Advanced degree in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or a related life-science field. A PhD is strongly preferred.
- Hands-on experience designing nucleic acid constructs before experimental execution, including several of the following: primers, plasmids and vectors, gRNA and sgRNA, mRNA, and HDR or repair templates.
- Experience with cloning strategies such as Gibson, Golden Gate, Gateway, and restriction-based cloning, as well as codon optimization.
- Strong peer-reviewed publication record, particularly first-author publications in venues such as Nature and related journals, Cell, eLife, Nucleic Acids Research, PNAS, or EMBO Journal. Include links to publications with your application.
- Demonstrated career progression.
- Excellent written communication and the ability to explain design decisions clearly and precisely.
- Experience in AI training, model evaluation, or data annotation is preferred.
Work Terms
- Remote role open to candidates located in the United States.
- Hourly W-2 employment.
- Reliable weekday availability of at least 20 hours per week is required.
Compensation
$70 to $105 per hour.
Vacancy posted 27 days ago
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