Biology QA Lead

About This Role

In this hourly, remote contractor role, you will function as a Biology Quality Assurance Lead, overseeing the quality, consistency, and trainer performance across biology AI training initiatives. Your responsibilities will include reviewing AI-generated biology content and the work of trainers/QAs, evaluating output against project guidelines, providing precise written feedback, and ensuring all contributors adhere to expected quality standards. You will assess work for scientific accuracy, biological reasoning, terminology correctness, experimental logic, unit consistency, safety awareness, clarity, formatting, instruction-following, and rubric adherence. Key tasks involve identifying recurring quality issues, communicating updates to trainers and QAs, supporting onboarding, maintaining documentation, and managing contributor activity. This role demands strong biology expertise, excellent English communication skills, meticulous attention to detail, structured communication, and the ability to manage quality workflows for remote technical teams.

Company Context

You will be joining a fast-growing AI Data Services company that provides training data for many of the world's largest AI companies and foundation-model labs. Your leadership in biology quality will be instrumental in improving premier AI models by ensuring biology training data is accurate, logically sound, clearly explained, safety-aware, well-documented, and aligned with client expectations.

Note: There is no immediate project for this role. However, qualified candidates will be prioritized for future relevant opportunities and gain access to our expert network.

Your Profile

• Bachelor's, Master's, or PhD degree in Biology, Molecular Biology, Cell Biology, Genetics, Microbiology, Biochemistry, Ecology, Evolutionary Biology, Neuroscience, Physiology, or a closely related field.
• Strong command of the English language for following project guidelines, communicating with teams, and providing clear scientific feedback.
• 3+ years of professional experience in biology research, laboratory work, teaching, scientific writing, technical review, quality control, biotechnology, life sciences, or related fields.
• Solid understanding of core biology topics including cell biology, molecular biology, genetics, evolution, ecology, physiology, microbiology, biochemistry, immunology, anatomy, developmental biology, and experimental design.
• Ability to evaluate biology content against detailed rubrics, identifying issues such as incorrect assumptions, flawed experimental reasoning, inaccurate terminology, missing context, unsafe recommendations, hallucinated facts, incomplete explanations, or misleading scientific claims.
• Familiarity with common biology tools or workflows such as laboratory documentation, microscopy, PCR/qPCR, sequencing, gel electrophoresis, cell culture, ELISA, bioinformatics basics, statistical interpretation, safety data sheets, or scientific literature review is preferred.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, researchers, technical writers, educators, or QAs is strongly preferred.
• Comfortable working in fast-moving remote environments using tools like Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, scientific content QA, or rubric-based LLM evaluation is a strong plus.

Key Responsibilities

• Quality Monitoring: Spot-check biology items, identify quality issues, provide ongoing feedback via direct messages, and escalate recurring or critical issues.
• Scientific Review: Evaluate AI-generated biology explanations, mechanisms, experimental reasoning, genetics problems, diagrams/descriptions, terminology, and problem-solving steps for correctness and clarity.
• Trainer and QA Communication: Update trainers and QAs on Discord regarding new item guidelines, project changes, workflow updates, quality expectations, and biology-specific review standards.
• Question Handling: Respond clearly and promptly to trainer/QA questions, particularly concerning biological reasoning, terminology, experimental design, methods, safety concerns, scientific claims, and rubric interpretation.
• Trainer/QA Activation Management: DM inactive or underperforming contributors, encourage engagement, track follow-ups, and flag availability issues.
• Documentation: Create and maintain biology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and Training: Schedule and conduct onboarding/training sessions for trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and biology-specific review requirements.
• Quality Alignment: Ensure consistent application of biology guidelines by all trainers and QAs and communicate updates as projects evolve.
• Risk and Safety Review: Flag unsafe, misleading, or overconfident biology recommendations, especially concerning lab procedures, biological samples, pathogens, genetic engineering, health claims, environmental impact, or biosafety.
• Process Improvement: Identify recurring quality gaps, propose workflow enhancements, and contribute to building scalable QA processes for biology AI training projects.

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