Biology QA Lead - Remote

YO IT Consulting; Cambridge; On-site; GBP 55,000 - 96,000; Part time

Job summary

YO IT Consulting is seeking a Biology Quality Assurance Lead for a remote, hourly contractor role. You will oversee quality across biology AI training projects, review AI-generated biology content, and provide precise written feedback.

You will ensure adherence to project rubrics, safety, and scientific accuracy while guiding and supporting remote trainers and QAs. The role requires strong biology expertise, excellent English communication, and meticulous documentation, with responsibility for

Qualifications

• Bachelor’s, Master’s or PhD in Biology or a closely related field.
• Strong English communication to guide teams and provide clear feedback.
• 3+ years of biology research, lab work, or related QA workflows.
• Experience leading or supporting remote trainers, annotators, or QAs.

Responsibilities

• Quality monitoring: spot-check items, provide feedback, and escalate issues.
• Scientific review of AI-generated explanations and mechanisms for accuracy.
• Update trainers on guidelines, changes, and quality expectations via Discord.
• Respond to questions with clear biology reasoning and rubric interpretation.
• Activate inactive contributors and track ongoing availability.
• Create and maintain biology project documentation and style guides.
• Onboard and train trainers on workflow expectations and rubrics.
• Ensure consistent application of biology guidelines across projects.

Skills

Biology expertise

Quality assurance

Remote team leadership

Scientific writing

Rubric-based evaluation

Onboarding & training

Education

Bachelor’s/Master’s/PhD in Biology or related field

Tools

Discord

Google Docs

Google Sheets

Project trackers

Job description

Job Description

Job Title:

Biology Quality Assurance Lead

Job Type:

Contract

Location:

Remote

About This Role

In this hourly, remote contractor role, you will work as a Biology Quality Assurance Lead to oversee quality, consistency, and trainer performance across biology AI training projects. You will review AI-generated biology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the 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 adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong biology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your biology quality leadership will directly help improve the world’s premier AI models by ensuring that biology training data is accurate, logically sound, clearly explained, safety-aware, well-documented, and aligned with client expectations. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through 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 grasp of the English language to follow project guidelines, communicate with teams, and provide clear scientific feedback in English.
• 3+ years of professional experience in biology research, laboratory work, teaching, scientific writing, technical review, quality control, biotechnology, life sciences, or related workflows.
• Strong understanding of core biology topics such as 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 and identify 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 such as 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 through DMs, and escalating recurring or critical issues.
• Scientific review: Evaluate AI-generated biology explanations, biological 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 about new item guidelines, project changes, workflow updates, quality expectations, and biology-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around biological reasoning, terminology, experimental design, methods, safety concerns, scientific claims, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow ups, and flag availability issues when needed.
• Documentation: Create and maintain biology project documentation, including style guides, trackers, FAQs, and quality notes.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and biology-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply biology guidelines consistently and understand updates as projects evolve.
• Risk and safety review: Flag unsafe, misleading, or overconfident biology recommendations, especially where lab procedures, biological samples, pathogens, genetic engineering, health claims or environment impacts.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for biology AI training projects.