Biology QA Lead

Role overview

This remote contractor position is for a Biology Quality Assurance Lead who will help maintain the accuracy, consistency, and overall quality of biology-focused AI training work. You will review AI-written biology material as well as trainer and QA outputs, compare them against project rules, and deliver clear written guidance to improve quality across the workflow.

The role calls for deep biology knowledge, excellent English communication, strong attention to detail, and a structured approach to working with distributed technical teams. You will help make sure the resulting training data is scientifically sound, logically consistent, safely framed, clearly written, and aligned with client expectations.

This is an hourly contract role. There is currently no active project tied to the position, but qualified candidates may be contacted first when relevant opportunities become available through the expert network.

Quality scope

Your reviews will cover scientific accuracy, terminology, biological reasoning, experimental logic, unit consistency, safety considerations, clarity, formatting, and compliance with the applicable rubric and instructions.

Key responsibilities

• Review biology items and catch quality issues, then share actionable feedback with contributors and escalate recurring or serious concerns.
• Assess AI-generated explanations, mechanisms, genetics tasks, diagrams, problem-solving steps, and related biology outputs for correctness and readability.
• Keep trainers and QAs informed about new instructions, workflow changes, project updates, and biology-specific quality expectations.
• Answer questions from trainers and QAs promptly, especially on scientific reasoning, experimental design, methods, safety, terminology, and rubric interpretation.
• Reach out to inactive contributors, encourage them to resume work, track follow-ups, and note any availability problems.
• Build and update documentation such as style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Organize and lead onboarding or training calls to explain expectations, workflows, rubrics, and review standards.
• Align trainers and QAs on consistent application of biology guidelines as projects change over time.
• Identify unsafe or misleading recommendations, especially where lab procedures, biological samples, pathogens, genetic engineering, health claims, environmental effects, or biosafety are involved.
• Suggest process improvements and help establish scalable QA systems for biology AI training programs.

Candidate profile

You should have a strong foundation in biology and the ability to communicate clearly in English. The role is best suited to someone with at least 3 years of relevant professional experience in biology research, lab work, teaching, scientific writing, technical review, quality control, biotechnology, life sciences, or similar work.

Applicants should be comfortable reviewing detailed rubrics and identifying issues such as flawed assumptions, weak experimental logic, incorrect terminology, missing context, unsafe advice, fabricated facts, incomplete explanations, or misleading scientific claims.

Experience with remote collaboration tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems is important. Prior exposure to AI training, data annotation, large language model evaluation, rubric-based review, or scientific content QA is a strong advantage.

Required education and background

A Bachelor’s, Master’s, or PhD in Biology or a closely related field is expected. Relevant backgrounds include Molecular Biology, Cell Biology, Genetics, Microbiology, Biochemistry, Ecology, Evolutionary Biology, Neuroscience, Physiology, and similar disciplines.

Preferred technical exposure

Familiarity with laboratory documentation, microscopy, PCR or qPCR, sequencing, gel electrophoresis, cell culture, ELISA, bioinformatics basics, statistical interpretation, safety data sheets, and scientific literature review is preferred.

Additional notes

This position is offered as a remote contract engagement. The work is described as hourly, and the role is intended for candidates who can support quality operations across a distributed team.