Skip to content
aitrainer.work - AI Training Jobs Platform
STEM turing

Materials Science Expert (Batteries, Chips, Semiconductors, etc.)

Turing • Remote

Education

PhD

Type

Hourly

Pay Rate

$30–$70/hr

Our estimate. Turing doesn't publish a rate for this role. How we estimate

Listed

24d ago

Apply opens Turing in a new tab.

Apply Now →

About this role

From the Turing listing

Role overview

  • In this role, you will be working on projects to help fine-tune large language models using your materials industry knowledge and strong analytical comprehension skills.
  • The ideal candidate should have a solid foundation in one or more of the following: Materials Science, Physics, Chemistry, Mathematics, Biology (or other advanced discipline), particularly at the level expected for graduate or PhD-level programs.
  • The projects will help you learn how to leverage AI to advance your field.

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.
  • Strong English skills.
  • 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.

Offer details

  • 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.

How long hiring takes

Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.

Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%

What to Expect

Looking at Turing STEM listings we've tracked, contracts in this domain typically run about 8.5 weeks. Actual length varies by project, but this gives you a realistic baseline going in.

Based on 11 extracted Turing STEM listings.

Why this role

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 speci

Talent pool

We're light on STEM candidates

We've matched 65 people with a STEM background against 726 STEM listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.

Set up your profile

Skills and categories

Explore other opportunities in related specializations:

Related jobs

Turing

Browse All Jobs from Turing

Discover more opportunities on Turing that match your skills and interests.

View All Turing Jobs →

Verified Reviews

Loading reviews…

Community Reviews

Loading reviews…
💬

Share your experience with Turing

Help other candidates make better decisions by leaving a review.

Sign in to leave a review

Common questions

Do I need to be a software engineer to work for Turing?

No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.

How does Turing's talent matching work?

Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.

Do I need a PhD for academic-niche AI training roles?

For the top pay tiers, a PhD or current enrollment is usually expected. But the domain assessment is what decides it: if you can solve the problems, the degree becomes secondary.

Is academic-niche AI training a continuous job?

Usually not. Work runs in campaigns, like training a model specifically on quantum mechanics, that might last a few weeks. Treat it as a high-paying fellowship or grant rather than a permanent daily job.

What does STEM work look like for a Materials Science Expert (Batteries, Chips, Semiconductors, etc.)?

Tasks here are scoped to STEM, not generic labeling. As a Materials Science Expert (Batteries, Chips, Semiconductors, etc.), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.

What specific skills does this listing call for?

English and Expert are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

The listing doesn't state a rate. The $30–$70/hr shown here is our estimate from the role type and location (see /pay-methodology), so treat it as a rough guide and confirm the actual rate with the platform before committing time.

What happens when I click Apply on this listing?

You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Is a PhD required?

For this specific role, yes, or near-equivalent professional depth. The credential gate is enforced at the assessment stage, not just on paper. That said, active PhD candidates and people with equivalent published research have qualified without a formal degree. The assessment is the real filter.