{"html":"<p>About Turing:</p><p>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.</p><h3>Role Overview</h3><h3><p>We are hiring US-based academic chemists to support the curation and evaluation of high-quality chemistry data for frontier AI models and research laboratories.</p><p>This is the Senior Reviewer track of the project. You will review complex chemistry problems and AI-generated solutions, resolve disagreements among reviewers, develop evaluation frameworks, and serve as a subject-matter advisor to client teams assessing AI model outputs.</p><p>This opportunity is designed for chemistry faculty and experienced researchers interested in applying their academic expertise to rigorous AI evaluation, scientific reasoning, and reliable AI training infrastructure.</p></h3><h3>What You’ll Do Day-to-Day</h3><h3><ul><li>Conduct senior-level reviews of complex or ambiguous chemistry problems and AI-generated solutions.</li><li>Evaluate responses for scientific accuracy, logical consistency, mathematical correctness, clarity, and adherence to instructions.</li><li>Verify chemical reactions, mechanisms, structures, calculations, nomenclature, units, assumptions, and conclusions.</li><li>Identify factual errors, unsupported claims, unsafe recommendations, and invalid scientific reasoning.</li><li>Facilitate the structured resolution of disagreements among chemistry reviewers.</li><li>Develop and refine evaluation rubrics, review guidelines, and quality standards.</li><li>Provide expert advisory support to client teams reviewing AI model performance.</li><li>Write technically rigorous, publication-quality explanations and reviewer feedback.</li><li>Provide consultation within relevant chemistry specializations.</li><li>Document review decisions and scientific consensus clearly and consistently.</li><li>Follow all project protocols, confidentiality requirements, and quality standards.</li></ul></h3><h3>Required Qualifications</h3><h3><ul><li>PhD in Chemistry, Chemical Sciences, or a closely related discipline from an accredited institution.</li><li>Faculty appointment at the rank of Assistant Professor or above at an accredited US university or academic institution.</li><li>At least three years of postdoctoral, faculty, or equivalent professional research experience.</li><li>Active involvement in chemistry research, teaching, or academic supervision.</li><li>Strong command of chemical principles, quantitative reasoning, and laboratory practices.</li><li>Demonstrated publication record in peer-reviewed chemistry or interdisciplinary scientific journals.</li><li>Experience teaching undergraduate or graduate-level chemistry courses.</li><li>Strong written communication skills and the ability to explain complex chemical concepts clearly.</li><li>Ability to evaluate multiple valid approaches and determine whether conclusions are scientifically defensible.</li><li>Experience reviewing technical papers, research submissions, examination questions, or scientific content.</li><li>Ability to lead and document expert consensus.</li><li>Strong attention to detail and disciplined adherence to evaluation protocols.</li></ul></h3><h3>Relevant Areas of Expertise</h3><h3><p>Expertise in one or more of the following areas is preferred:</p><ul><li>Organic chemistry</li><li>Inorganic chemistry</li><li>Physical chemistry</li><li>Analytical chemistry</li><li>Biochemistry and chemical biology</li><li>Medicinal and pharmaceutical chemistry</li><li>Computational and theoretical chemistry</li><li>Materials and polymer chemistry</li><li>Environmental chemistry</li><li>Electrochemistry</li><li>Surface and colloid chemistry</li><li>Spectroscopy and chemical characterization</li><li>Chemical thermodynamics and kinetics</li><li>Catalysis and reaction mechanisms</li><li>Synthetic chemistry</li><li>Industrial and process chemistry</li></ul></h3><h3>Preferred Qualifications</h3><h3><ul><li>Prior experience with AI evaluation, scientific data annotation, or large language model research.</li><li>Experience developing scientific rubrics, benchmarks, or assessment frameworks.</li><li>Familiarity with computational chemistry or scientific tools such as Python, MATLAB, R, ChemDraw, Gaussian, ORCA, or similar platforms.</li><li>Experience with molecular modeling, simulations, spectroscopy, or scientific data analysis.</li><li>Prior journal peer-review or editorial experience.</li><li>Service on research, academic, grant-review, safety, or ethics committees.</li><li>Experience mentoring graduate students, postdoctoral researchers, or junior faculty.</li><li>Active participation in the American Chemical Society or another recognized chemistry organization.</li><li>Familiarity with evaluating AI-generated chemical structures, mechanisms, calculations, and scientific explanations.</li></ul></h3><h3>Performance Expectations</h3><h3><ul><li>Take senior-review responsibility for assigned case batches.</li><li>Deliver scientifically accurate and defensible evaluations.</li><li>Maintain consistent quality and reliability across assignments.</li><li>Clearly document errors, assumptions, calculations, mechanisms, and review decisions.</li><li>Collaborate constructively with other faculty-level reviewers.</li><li>Communicate professionally with client teams during advisory sessions.</li><li>Meet agreed deadlines and project quality requirements.</li><li>Maintain confidentiality and comply with all project protocols.</li></ul></h3><h3>Conflict-of-Interest Disclosure</h3><h3><p>Applicants must disclose any active equity, advisory, consulting, research-funding, or paid relationships with:</p><ul><li>Artificial intelligence companies</li><li>Chemical, pharmaceutical, biotechnology, or materials companies</li><li>Scientific software or laboratory technology companies</li><li>Research organizations whose work may appear in project content</li><li>Other commercial entities relevant to assigned cases</li></ul><p>Disclosed conflicts will not automatically disqualify an applicant but may be considered when assigning work.</p></h3><h3>Perks of Freelancing with Turing</h3><h3><ul><li>Competitive compensation and flexible remote work.</li><li>Learn how advanced AI systems are trained and evaluated.</li><li>Work on cutting-edge projects with leading AI laboratories.</li><li>Collaborate with researchers and experts from diverse scientific backgrounds.</li><li>Potential for contract extension based on project needs and performance.</li><li>Flexible, asynchronous work designed to complement academic responsibilities.</li></ul></h3><h3>Offer Details</h3><h3><ul><li>Engagement type: Independent contractor (1099)</li><li>Payment model: Pay per task</li><li>Workload: Approximately 15 hours per week on average, with up to 40 hours per week during peak batches</li><li>Location: United States</li><li>Work arrangement: Fully remote and primarily asynchronous, with occasional synchronous calls</li><li>Duration: Four weeks, with potential extension depending on project requirements</li><li>Timeline: Subject to project and assignment availability</li><li>Compensation: Determined based on experience, academic standing, research background, and area of expertise</li><li>Confidentiality: NDA required before engagement; the detailed scope of work will be shared after NDA execution</li></ul></h3><h3>Evaluation Process</h3><h3><p>Applicants must submit:</p><ul><li>An updated CV containing faculty appointment and research details</li><li>Two recent peer-reviewed publications</li><li>A brief statement of interest of approximately 300 words describing experience with scientific writing, chemistry evaluation, peer review, or AI research</li></ul><p>Shortlisted applicants will complete:</p><ol><li>A qualification review</li><li>One interview round</li><li>A brief paid calibration assignment before full engagement</li></ol></h3>"}