Ph.D. / Postdoctoral / Master’s Expert
Turing • Remote
Education
Any
Type
hourly
Pay Rate (by country)
$30–$70/hr
Listed
13d ago
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Turing: our referral track record
We've referred 677 candidates to Turing roles. 2% (15) were placed.
Turing: typical time to hire
Based on 15 tracked placements across all Turing roles on our site.
What We Know About This Role
- Interview
- Required i As stated in the listing: “at least 4 hours per day and up to 40 hours per week”
- Weekly hours
- 20–40 hrs/week
- Timezone overlap
- Partial overlap with US Pacific time required
About this Role
From the Turing listing
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.
Job Overview
We are looking for PhD level computer science experts to help fine-tune and evaluate large language models, including systems similar to ChatGPT. The role focuses on designing challenging, conceptual computer science problems that test advanced AI reasoning across topics such as algorithms, systems design, cybersecurity, theory, databases, networks, and other undergraduate to PhD-level computer science domains.
Key Responsibilities
Design advanced computer science problems that test AI model performance across conceptual and reasoning-heavy topics, including systems design, algorithms, cybersecurity, and other advanced CS areas. Develop clear, step-by-step reference solutions with rigorous logic, well-structured explanations, and defensible reasoning. Evaluate AI-generated responses for correctness, reasoning quality, completeness, clarity, and alignment with the intended problem requirements. Identify flaws, gaps, edge cases, and near-miss reasoning patterns in AI outputs. Collaborate with researchers to refine benchmarks across undergraduate, graduate, and PhD-level computer science topics. Provide structured feedback to improve problem quality, benchmark reliability, and model evaluation standards.
Required Qualifications
PhD, completed or pursuing, in Computer Science or a closely related field. Strong computer science reasoning and problem-solving skills across advanced domains. Ability to design challenging conceptual problems that require deep understanding rather than straightforward recall or coding. Excellent written communication skills, with the ability to explain complex technical ideas clearly and logically. Strong attention to detail in evaluating reasoning, assumptions, definitions, edge cases, and solution validity. Ability to provide structured, high-quality feedback on AI-generated responses. No prior AI experience required.
Offer Details
Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor
Evaluation Process
Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 24 hours. Based on the assessment outcomes, shortlisted candidates will be contacted to schedule an interview.
Requirements
- Computer Science Fundamentals
- Must be eligible to work in Remote
What to Expect
Looking at Turing STEM listings we've tracked, contracts in this domain typically run about 9.2 weeks. Actual length varies by project, but this gives you a realistic baseline going in.
Based on 19 extracted Turing STEM listings.
Why This Role
Shape the "brain" of future AI. By working as a Ph.D. / Postdoctoral / Master’s Expert, you ensure that future models understand the nuance of your field. At $50/hr, it's a lucrative way to preserve the integrity of your profession in the digital age.
Skills & Categories
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Frequently Asked 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.
How and when does Turing pay contractors?
Monthly, in USD, via Deel, Payoneer, or direct bank transfer. You're engaged as an independent contractor responsible for your own local taxes. Plan your cash flow around a monthly cycle if you're used to weekly payouts elsewhere.
Is academic-niche AI training just data labeling?
No, it's closer to academic research. Expect to write or verify complex proofs, solve advanced equations, or check the logic behind a model's step-by-step reasoning. The goal is teaching AI systems to reason deeply within your specific field.
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 actually 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 Ph.D. / Postdoctoral / Master’s Expert?
Tasks here are scoped to STEM, not generic labeling. As a Ph.D. / Postdoctoral / Master’s Expert, 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.
How many hours per week does this role require?
Based on the listing, this role is scoped at 20–40 hours per week. Treat this as a real commitment expectation, not a loose estimate.
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 there an interview?
Yes. Based on the assessment outcomes, shortlisted candidates will be contacted to schedule an interview.