Chemistry PhD for AI Model Training

Apply advanced chemistry expertise to create high-quality training inputs and benchmark answers that help next-generation AI systems learn, reason, and perform. This remote contractor role values deep subject-matter knowledge and clear scientific communication; prior AI experience is not required. You will contribute authoritative explanations, evaluate chemistry content for scientific accuracy, and produce exemplar responses that guide model behavior.

• Produce authoritative, accurate, and well-explained responses to advanced chemistry queries intended to improve AI model performance, prioritizing clarity and depth.
• Review and evaluate chemistry questions, data, and proposed solutions to ensure scientific accuracy, completeness, and alignment with current best practices.
• Develop comprehensive explanations and justifications across both foundational and specialized chemistry topics.
• Create exemplary "golden responses" that serve as benchmarks for future model outputs and training data.
• Document the context and rationale behind answers to support model interpretability and future annotation work.
• Collaborate with annotation leads and project managers to refine task requirements and maintain high quality standards.
• Participate in remote discussions or workshops to clarify objectives and align with the contributor community.

• PhD in Chemistry or a closely related scientific field, with robust expertise in both foundational and advanced topics.
• Advanced chemistry knowledge and demonstrated ability to communicate complex concepts precisely in writing and verbally.
• Experience developing, reviewing, or publishing scientific, technical, or educational chemistry materials, such as research articles, curricula, industry reports, or peer reviews.
• Familiarity with multiple subdisciplines, for example organic, inorganic, physical, analytical, and materials chemistry, and the ability to adapt explanations for varied audiences.
• Exceptional attention to detail and commitment to scientific accuracy and methodological rigor.
• Experience with AI, data annotation, or digital content development projects is advantageous but not required.
• Strong collaboration skills, especially in remote or cross-functional settings.

• Role type: Contractor, remote.
• Work focuses on producing deliverables used for AI training and evaluation; time to complete tasks varies with experience and workflow.
• Compensation is output-based, paid per task that meets project specifications. Minimum submission requirements apply.
• Experts must submit a minimum of tasks per week.
• No prior AI experience required; domain expertise and clear scientific communication are the primary qualifications.

• Pay rate: $80.00 to $90.00 per hour.
• Payment is structured per completed task that satisfies project specifications, rather than strictly by tracked hours.

• Must be able to work as an independent contractor in a remote capacity.
• Availability to begin work quickly is preferred; selected experts should be ready to start tasks within the start timeline below.

Roles are typically filled within 48 hours. If selected and after completing onboarding, you are expected to begin your first tasks within 24 to 48 hours. If you express interest, be prepared for a rapid selection and onboarding timeline.