Bioinformatics and Computational Biology Expert

You will help evaluate AI systems that handle bioinformatics and computational biology. The work focuses on real research workflows, pipeline design, sequence analysis, and practical computational biology methods.

• Create challenging bioinformatics problems and scenarios based on research and pipeline workflows.
• Review AI-generated computational biology responses for technical accuracy and reproducibility.
• Assess whether proposed approaches match how bioinformatics work is done in practice.
• Write clear, structured feedback that can improve AI model performance.
• Use independent judgment while working remotely and asynchronously.

This is ongoing, project-based contract work. The role is listed as part-time, with flexible participation and no set schedule or minimum hour requirement in the role description.

• Pay: Up to $47 per hour.
• Location: Open to candidates in the United States.
• Language: Fluency in English.
• Experience: Substantial industry or research experience in bioinformatics, computational biology, genomics, or a related field.
• Education: A PhD in computational biology, bioinformatics, genomics, or a comparable quantitative or life sciences field, or an MS with strong industry experience.
• Research: First-author publications and experience owning substantial bioinformatics pipelines.
• Technical depth: NGS or genomics pipelines and sequence analysis, statistical genetics, or structural biology.
• Skills: Strong writing, careful attention to detail, and the ability to explain complex biological concepts clearly.
• Helpful tools: BWA, GATK, samtools, BLAST, Biopython, PyMOL, AlphaFold, R, Bioconductor, and other bioinformatics software environments.
• Helpful experience: Owning complete genomics or NGS sequencing pipelines in academic or industry research.

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a platform where people find AI training and data-labeling work, create a profile, and start applications.

AI training is the human work behind systems that generate and evaluate content. Experts review model responses, identify errors, and explain what a better answer should contain, which helps improve the usefulness and accuracy of AI systems.