Biology QA Lead

In this hourly, remote contractor role, you will oversee quality, consistency, and trainer performance across biology AI training projects, ensuring scientific accuracy, clarity, safety, and adherence to guidelines.

Location: Remote

Responsibilities

• Quality monitoring: Spot-check biology items, identify quality issues, provide ongoing feedback, and escalate issues.
• Scientific review: Evaluate AI-generated biology explanations, mechanisms, reasoning, terminology, and problem-solving for correctness and clarity.
• Trainer and QA communication: Update trainers and QAs on guidelines, project changes, workflow updates, and review standards.
• Question handling: Respond to trainer/QA questions on biological reasoning, terminology, experimental design, safety, and rubric interpretation.
• Trainer/QA activation management: DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
• Documentation: Create and maintain biology project documentation, style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls to explain project expectations, workflows, rubrics, and standards.
• Quality alignment: Ensure consistent application of biology guidelines and understanding of updates.
• Risk and safety review: Flag unsafe, misleading, or overconfident biology recommendations, especially related to lab procedures, pathogens, genetic engineering, health claims, environmental impact, or biosafety.
• Process improvement: Identify quality gaps, propose workflow improvements, and help build scalable QA processes.

Requirements

• Bachelor’s, Master’s, or PhD in Biology or related field.
• Strong English communication skills.
• 3+ years of experience in biology research, laboratory work, teaching, scientific writing, or related workflows.
• Strong understanding of core biology topics.
• Ability to evaluate biology content against detailed rubrics.
• Familiarity with biology tools or workflows (preferred).
• Experience leading or supporting remote teams (preferred).
• Comfortable working in remote environments with collaboration tools.
• Highly detail-oriented and organized.
• Experience with AI training, data annotation, or scientific content QA (plus).