Domain Expert: Biology

Review complex biology questions and AI responses for scientific accuracy.

About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality. In coding, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models.

Role Overview:

We are hiring biologists to support the curation and evaluation of high-quality biology data for frontier AI models and research laboratories.

This is the Senior Reviewer track of the project. You will review complex biological questions and AI-generated responses, resolve disagreements among reviewers, develop evaluation frameworks, and serve as a subject-matter advisor to client teams assessing AI model outputs.

This opportunity is designed for biology faculty and experienced researchers interested in applying their academic expertise to rigorous AI evaluation, scientific reasoning, and reliable AI training infrastructure.

What You’ll Do Day-to-Day

• Conduct senior-level reviews of complex or ambiguous biology questions and AI-generated responses.
• Evaluate responses for scientific accuracy, logical consistency, completeness, clarity, and adherence to instructions.
• Verify biological mechanisms, experimental interpretations, terminology, classifications, calculations, assumptions, and conclusions.
• Identify factual errors, unsupported claims, invalid reasoning, methodological limitations, and misleading interpretations.
• Assess whether responses correctly interpret experimental data, figures, tables, and scientific literature.
• Facilitate the structured resolution of disagreements among biology reviewers.
• Develop and refine evaluation rubrics, review guidelines, and quality standards.
• Provide expert advisory support to client teams reviewing AI model performance.
• Write technically rigorous, publication-quality explanations and reviewer feedback.
• Provide consultation within relevant biological specializations.
• Document review decisions and scientific consensus clearly and consistently.
• Follow all project protocols, confidentiality requirements, and quality standards.

Required Qualifications

• PhD in Biology, Biological Sciences, Life Sciences, or a closely related discipline from an accredited institution.
• Faculty appointment at the rank of Assistant Professor or above at an accredited US university or academic institution.
• At least three years of postdoctoral, faculty, or equivalent professional research experience.
• Active involvement in biological research, teaching, or academic supervision.
• Strong understanding of biological principles, experimental design, data interpretation, and scientific methodology.
• Demonstrated publication record in peer-reviewed biology or interdisciplinary scientific journals.
• Experience teaching undergraduate or graduate-level biology.
• Strong written communication skills and the ability to explain complex biological concepts clearly.
• Ability to evaluate multiple scientific interpretations and determine whether conclusions are supported by the available evidence.
• Experience reviewing research papers, journal submissions, examination questions, experimental protocols, or scientific content.
• Ability to lead and document expert consensus.
• Strong attention to detail and disciplined adherence to evaluation protocols.

Relevant Areas of Expertise

Expertise in one or more of the following areas is preferred:

• Molecular biology
• Cell biology
• Genetics and genomics
• Microbiology
• Biochemistry
• Immunology
• Developmental biology
• Evolutionary biology
• Ecology and environmental biology
• Computational biology and bioinformatics
• Neuroscience
• Systems biology
• Structural biology
• Plant biology
• Animal physiology
• Human biology
• Biotechnology
• Synthetic biology
• Marine biology
• Conservation biology

Preferred Qualifications

• Prior experience with AI evaluation, scientific data annotation, or large language model research.
• Experience developing scientific rubrics, benchmarks, or assessment frameworks.
• Familiarity with computational tools such as Python, R, MATLAB, Bioconductor, BLAST, or similar platforms.
• Experience with biological databases, statistical analysis, experimental design, or bioinformatics.
• Prior journal peer-review or editorial experience.
• Service on research, academic, grant-review, biosafety, or ethics committees.
• Experience mentoring graduate students, postdoctoral researchers, or junior faculty.
• Active participation in a recognized biological or life sciences professional organization.
• Familiarity with evaluating AI-generated scientific explanations, experimental interpretations, and biological data analyses.

Performance Expectations

• Take senior-review responsibility for assigned case batches.
• Deliver scientifically accurate and defensible evaluations.
• Maintain consistent quality and reliability across assignments.
• Clearly document errors, assumptions, evidence, methodological concerns, and final review decisions.
• Collaborate constructively with other faculty-level reviewers.
• Communicate professionally with client teams during advisory sessions.
• Meet agreed deadlines and project quality requirements.
• Maintain confidentiality and comply with all project protocols.

Conflict-of-Interest Disclosure

Applicants must disclose any active equity, advisory, consulting, research-funding, or paid relationships with:

• Artificial intelligence companies
• Biotechnology or pharmaceutical companies
• Scientific software or laboratory technology companies
• Research organizations whose work may appear in project content
• Other commercial entities relevant to assigned work

Disclosed conflicts will not automatically disqualify an applicant but may be considered when assigning work.

Perks of Freelancing with Turing

• Competitive compensation and flexible remote work.
• Learn how advanced AI systems are trained and evaluated.
• Work on cutting-edge projects with leading AI laboratories.
• Collaborate with researchers and experts from diverse scientific backgrounds.
• Potential for contract extension based on project needs and performance.
• Flexible, asynchronous work designed to complement academic responsibilities.

Skills: Physics Simulation