Remote Chemistry Expert (PhD)

Posted:

Job reference: c24644ca5d128a245dc3f92b02d391c0

Job information

Location

Client / Employer

Turing

Job reference

c24644ca5d128a245dc3f92b02d391c0

Listing type

Basic

EU work permit required

No

Posted

Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. Work on cutting-edge projects with top AI labs while earning up to $100+/hour, fully remote, with flexible weekly hours. No AI experience required

Role Overview:

Help fine-tune large language models (like ChatGPT) using your chemistry knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.

Responsibilities:

• Design advanced chemistry problems to test AI performance (e.g., chemical engineering, biochemistry).
• Develop clear, step-by-step solutions with rigorous logic.
• Evaluate AI outputs for accuracy and quality of reasoning.
• Collaborate with researchers to refine benchmarks across undergraduate to PhD-level chemistry topics.

Requirements:

• PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field.
• Strong chemistry reasoning and problem-solving skills across advanced domains.
• Ability to communicate complex ideas clearly in writing and provide structured feedback.
• No AI experience required
• Fully remote, flexible work.
• Work on cutting-edge AI projects with leading LLM companies.
• Pay rate: $100+/hour (depends on role and candidate expertise).
• Assessment: Shortlisted experts complete an evaluation before selection.
• Assignments: Contract roles with defined start/end dates; up to 40 hrs/week.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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