Remote Materials Science Expert - 58109

What does day-to-day look like:

• Design and solve challenging questions/problems within your field to probe the limitations of large language models.
• Create clear, high-quality, step-by-step solutions with well-articulated reasoning.
• Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models typically struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation).
• Help define new evaluation benchmarks based on curricula in your field spanning early undergraduate to PhD-level topics.

Requirements:

• Experience with materials science, either in a professional, academic, or research setting.
• Bonus: you have experience with batteries, chips, or semiconductors.
• Ability to explain technical, complex concepts clearly using simple language and visuals when needed.

Perks of freelancing With Turing:

• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Strong compensation (exact amount varies by project).
• Potential for contract extension based on performance and project needs.
• Work in a fully remote environment.

What Turing is NOT seeking from your expertise:

• Confidential or proprietary information from any employer or university.
• Trade secrets or internal company or university data.
• Specific client information or case details.
• Any information that would violate NDAs, employment agreements or other confidentialit obligations.
• Engagement type: Contractor assignment/freelancer, potentially full-time.
• Duration of projects: ~1 month (with possibility for extension).

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.