Chemistry Expert (PhD)

About this role

Role Title: Chemistry Expert (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Chemistry Experts (PhD) to contribute their advanced subject-matter expertise to a customer’s AI training initiative. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work

Produce authoritative, accurate, and well-explained responses to advanced chemistry queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.

Review and evaluate chemistry data, questions, and solutions to guarantee scientific accuracy, completeness, and current best-practice alignment.

Develop comprehensive explanations and justifications across a wide array of chemical concepts, spanning foundational and specialized areas of chemistry.

Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.

Create exemplary “golden responses” that set benchmarks for future model outputs, ensuring consistency and reliability in training data.

Document context and rationale behind answers to assist model interpretability and future annotation efforts.

Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.

Preferred Qualifications

PhD in Chemistry or a closely related scientific field with robust expertise in both foundational and advanced topics.

Proven ability to communicate intricate chemistry concepts with precision in both written and verbal forms.

Experience in developing, reviewing, or publishing scientific, technical, or educational chemistry materials (such as research articles, curricula, industry reports, or peer reviews).

Familiarity with multiple sub-disciplines within chemistry (organic, inorganic, physical, analytical, materials science, etc.) and the ability to adapt explanations for diverse audiences.

Exceptional attention to detail with a commitment to scientific accuracy and methodological rigor.

Experience with AI, data annotation, or digital content development projects is advantageous but not essential.

Strong collaboration skills, particularly in remote or cross-functional environments.

Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Originally posted on Himalayas