Computational Biology Researcher; Coding Tasks

Create computational biology coding tasks, review AI-generated outputs, and give research-grounded feedback. The role pays $200 per label and is remote and asynchronous for qualified researchers.

$200/label

You will create self-contained research coding tasks used to evaluate AI systems. Your work draws on computational biology methods and tools, with assignments involving areas such as read alignment, genome assembly, indexing, and variant calling.

You will review AI-generated outputs and give feedback based on research-quality standards. You will also work with a project lead to keep tasks clear, rigorous, and technically accurate.

• Build technical coding tasks in computational biology.
• Review AI-generated model outputs and provide expert feedback.
• Use methods and tools relevant to your research background.
• Complete focused assignments remotely and asynchronously.

This role is suited to researchers who can apply expert judgment to computational biology coding and evaluation work.

• Location:
  
  Remote; open to candidates in the countries specified for this role.
• Language:
  Professional fluency in English.
• Education:
  
  Completed or in-progress PhD in computer science or a related field.
• Research:
  Published computational biology research in Bioinformatics, RECOMB, ISMB, Genome Research, or a comparable venue.
• Proof of work:
  Research code released through Git Hub or another research artifact.
• Technical focus:
  Read alignment, genome assembly, indexing, or variant calling.
• Helpful background:
  First-author publications, Docker, reproducible research environments, and strong knowledge of computational biology tools and workflows.

AI training work uses human-created examples, reviews, and feedback to improve how AI systems perform. Researchers are paid for this work because their subject knowledge helps assess technical accuracy and produce reliable training material.