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Generalist

Ph.D./Researcher Workflow

Turing Remote

Education

Any

Type

hourly

Pay Rate (by country)

$30–$70/hr

Listed

48d 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.

32 days 59 days (median) 85 days
Within 2 weeks
13%
Within 6 weeks
40%
Within 13 weeks
80%

What We Know About This Role

Interview
Required i As stated in the listing: “Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST.”
Weekly hours
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.

Role Overview:

Design and solve challenging Physics problems to evaluate and identify the limitations of large language models. Develop clear, high-quality, step-by-step solutions with precise and well-articulated reasoning. Collaborate closely with LLM researchers to align problem design with evaluation objectives, particularly in areas where models typically struggle, such as abstraction, multi-step reasoning, and symbolic manipulation. Contribute to the development of new evaluation benchmarks based on Physics curricula ranging from early undergraduate concepts to advanced PhD-level topics. Analyze model outputs, identify reasoning gaps, and provide insights to improve model accuracy and performance. Support the advancement of AI research by combining domain expertise in Physics with analytical and problem-solving methodologies.

Requirements:  

Analytical Skills: Strong research and analytical abilities, with the capability to evaluate complex information and identify meaningful insights. Feedback Skills: Ability to provide constructive feedback, detailed annotations, and clear evaluations to support continuous improvement. Creative Thinking: Strong creative and lateral thinking skills, with the ability to approach problems from multiple perspectives and develop innovative solutions. Communication: Excellent written and verbal communication skills, with the ability to collaborate effectively in a remote and cross-functional environment. Independence: Self-motivated, proactive, and capable of working independently while managing tasks and deadlines efficiently in a remote setting. Technical Setup: Access to a reliable desktop or laptop and a stable high-speed internet connection to support remote collaboration and project work. 

Prefered Qualification:  

Candidates who have completed a Master’s, Ph.D., or Postdoctoral degree in Physics, Applied Physics, or a closely related field are eligible and strongly encouraged to apply. Strong ability to analyze and solve complex Physics problems using a structured, logical, and methodical approach. Ability to explain Physics concepts clearly and effectively through simplified explanations, visual representations, and strong conceptual reasoning.

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

  • PhD Physics
  • Must be eligible to work in Remote

Why This Role

Geography stops mattering here. This remote Ph.D./Researcher Workflow opportunity pays $50/hr regardless of where you're based, making it a solid entry point into Generalist work without needing to relocate.

Skills & Categories

Explore other opportunities in related specializations:

Generalist Coding Expert

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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.

What does task-based AI training work actually look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does asynchronous AI training work mean in practice?

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

What does Generalist work look like for a Ph.D./Researcher Workflow?

Tasks here are scoped to Generalist, not generic labeling. As a Ph.D./Researcher Workflow, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Generalist) rather than following a one-size-fits-all rubric. If you don't have hands-on Generalist 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 about 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.