Biology Quality Assurance Lead (QAL)

About the Role

This is a remote, hourly contractor role for a Biology Quality Assurance Lead (QAL) responsible for overseeing quality, consistency, and contributor performance across biology AI training projects.

You will review AI-generated biology content, evaluate trainer and QA work, maintain scientific quality standards, support onboarding activities, manage contributor performance, and ensure adherence to biology review guidelines and evaluation rubrics.

The role combines biological sciences expertise, scientific quality assurance, AI evaluation, biosafety awareness, contributor support, and process improvement.

Key Responsibilities

Quality Monitoring

• Review biology training items and QA outputs
• Identify quality issues and recurring scientific errors
• Provide detailed feedback to contributors
• Escalate critical quality concerns

Scientific Review

Evaluate AI-generated biology explanations, molecular biology concepts, cell biology analyses, genetics problems and reasoning, microbiology discussions, physiology explanations, immunology concepts, evolutionary biology reasoning, ecology analyses, biochemistry concepts, and experimental design discussions.

Verify scientific accuracy, biological reasoning quality, terminology correctness, experimental validity, unit consistency, methodological accuracy, safety awareness, and clarity of explanation.

Trainer & QA Communication

• Communicate guideline updates and workflow changes
• Clarify biology-specific review standards
• Maintain contributor alignment

Question Resolution

Respond to contributor questions regarding biological reasoning, experimental design, genetics concepts, molecular biology, scientific terminology, laboratory methods, biological mechanisms, data interpretation, biosafety concerns, and rubric interpretation.

Contributor Activation Management

• Follow up with inactive contributors and track engagement
• Encourage participation and task completion

Documentation Management

Create and maintain style guides, biology FAQs, quality notes, calibration tasks, examples, trackers, honeypots, and onboarding materials.

Onboarding & Training

• Conduct onboarding and training sessions
• Explain project workflows, evaluation rubrics, biology quality standards, scientific review procedures, and biosafety expectations

Risk & Safety Review

Identify and flag unsafe laboratory recommendations, biosafety concerns, misleading biological claims, dangerous handling of biological materials, unsupported health-related conclusions, genetic engineering safety concerns, pathogen-related risks, and environmental impact concerns.

Process Improvement

• Identify recurring quality gaps and recommend workflow improvements
• Help build scalable QA processes for biology projects

Required Skills & Qualifications

• Bachelor's, Master's, or PhD degree in Biology, Molecular Biology, Cell Biology, Genetics, Microbiology, Biochemistry, Ecology, Evolutionary Biology, Neuroscience, Physiology, or related life sciences discipline
• 3+ years of professional experience in biology research, laboratory work, scientific writing, technical review, quality control, biotechnology, life sciences, or biology education
• Strong understanding of cell biology, molecular biology, genetics, evolution, ecology, physiology, microbiology, biochemistry, immunology, anatomy, developmental biology, and experimental design
• Ability to identify incorrect assumptions, experimental reasoning flaws, terminology errors, missing context, unsafe recommendations, hallucinated scientific facts, and misleading biological claims
• Strong written English, scientific feedback, and documentation skills

Preferred Qualifications

• Experience with microscopy, PCR and qPCR, DNA/RNA sequencing, gel electrophoresis, cell culture, ELISA, bioinformatics fundamentals, statistical analysis, or SDS review
• Experience leading or supporting researchers, technical reviewers, QA teams, or annotation teams
• Experience with AI training, data annotation, LLM evaluation, or rubric-based QA
• Familiarity with Discord, Google Docs, Google Sheets, and project management systems

Additional Information

• Fully remote — Flexible schedule — Weekly payments
• Access to future opportunities through the SME Careers expert network

About SME Careers

SME Careers is an AI data services company and subsidiary of SuperAnnotate that provides training data for leading AI companies and foundation-model laboratories.