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Expert PhD Math & Statistics AI Tutor

Cobalt Streamworks · Remote · Indexed today

remoteEstimated 128k-348k USD
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About the role

Remote Expert PhD Math & Statistics AI Tutor at Mercor
Expert PhD Math & Statistics AI Tutor
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Description
Join a leading AI lab’s cutting-edge GenAI team and help build foundational AI models from the ground up. We’re seeking talented Math and Statistics subject-matter experts (SMEs) to bring deep domain expertise and elevate the quality of our AI training data. This is a remote, flexible opportunity to collaborate directly with the research teams of a leading AI lab.
What You’ll Do
– Guide research teams to close knowledge gaps and improve AI model performance in your Math domain.
– Create and maintain precise annotation standards tailored to your domain specialty. As a domain SME, you’ll set the gold standard for quality and rigor.
– Develop guidelines and detailed rubrics/evaluation frameworks to assess Math reasoning across tasks.
– Design challenging, domain-relevant Math tasks across multiple specializations, and write accurate and well-structured solutions to Math problems.
– Evaluate Math tasks and solutions and provide clear, written feedback.
– Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Qualifications
– Location: Currently living in the US
– Education: A Master’s or Ph.D. degree from a top-tier university relevant to the domain of Mathematics OR Industry-recognized credentials like IMO/Putnam medalists.
– Experience: Have 3+ years of professional experience in a math-centered role at a reputable institution.
– Domain expertise in 1 or more of the following:
– Foundations
– Arithmetic
– Algebra
– Geometry
– Trigonometry
– Calculus
– Probability and Statistics
– Number Theory
– Topology
What We Offer
– Pay rate between $110 and $130 per hour.
– Flexible, remote work that will have a significant impact on the development of advanced AI models.
– Initial commitment of 18 weeks, with potential to extend based on project needs and performance.
– Ideal commitment of ~40hrs/week with a minimum availability of ~20 hrs/week. You’ll join calibration calls with the client’s team 2-5x per week.
– If you are passionate about contributing your expertise to revolutionize the world of AI, we encourage you to apply for this exciting opportunity.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
About Mercor
Company profile
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Read the full posting on nodesk

Why this role stands out

  • flexible, remote work
  • initial commitment of 18 weeks

Responsibilities

  • Guide research teams to close knowledge gaps
  • Create and maintain precise annotation standards
  • Develop guidelines and detailed rubrics
  • Design challenging, domain-relevant Math tasks

Must-have skills

  • master's or phd in mathematics
  • 3+ years professional experience
  • calculus
  • algebra
  • geometry
  • trigonometry
  • probability and statistics
  • number theory
  • topology

Nice-to-have skills

  • imo/putnam medalists

Benefits

  • flexible, remote work
  • initial commitment of 18 weeks
  • potential to extend
  • ~40hrs/week commitment
  • minimum availability of ~20 hrs/week

FAQ

Is the Expert PhD Math & Statistics AI Tutor role at Cobalt Streamworks remote?+

This Expert PhD Math & Statistics AI Tutor position is listed as remote (Remote).

What is the salary for the Expert PhD Math & Statistics AI Tutor role at Cobalt Streamworks?+

The listing states Estimated 128k-348k USD.

What seniority level is this Expert PhD Math & Statistics AI Tutor role?+

This is a unknown level position.

What skills does the Expert PhD Math & Statistics AI Tutor role require?+

Key requirements include master's or phd in mathematics, 3+ years professional experience, calculus, algebra, geometry, trigonometry, probability and statistics, number theory.

How do I apply for the Expert PhD Math & Statistics AI Tutor role at Cobalt Streamworks?+

Use the "Apply on nodesk" button to open the original posting on nodesk, where you can submit your application directly to Cobalt Streamworks.