About Handshake AI

Handshake AI partners with leading AI labs to build high-quality datasets that improve how AI models are trained and evaluated. Our work is rooted in domain expertise: we collaborate with researchers and academics in fields such as mathematics, physics, chemistry, and biophysics to create and review research-level problems that challenge today’s most advanced AI systems.

About the Role

We are seeking senior academics to join our expert network as Senior Academic Reviewers (Auditors). In this role, you will serve as the final line of defense for quality—auditing problems and answers written by domain experts and reviewed by peers, and ensuring that the data meets the rigorous standards expected by top AI research organizations.

You will bring your subject-matter expertise, sharp critical thinking, and ability to communicate clearly to help us refine both the content and the processes we use. This is a senior-level, part-time, project-based role designed for established faculty members who want to contribute their expertise to the advancement of AI research.

What You’ll Do

Audit reviewed research-level problems and answers in your field (math, physics, chemistry, biophysics, or related)
Critically evaluate whether each prompt meets the expectations of high-end AI research labs
Identify and suggest improvements to strengthen clarity, rigor, and quality
Provide input on principles and processes to continuously improve dataset creation
Collaborate asynchronously with other experts, Fellows, and Reviewers in the Handshake AI network

Who You Are

Current or recent faculty member (Assistant/Associate Professor or equivalent) in Biology, Chemistry, Physics, Mathematics
Strong academic credentials, with publications, teaching, or research leadership in your domain
Experienced in reviewing or evaluating the work of others for accuracy and quality
Exceptional critical thinker with the ability to spot flaws, redirect approaches, and strengthen rigor
Clear communicator who can explain reasoning as well as identify errors.
Curious and motivated to contribute to projects at the intersection of research and AI

Nice to Have

Tenure-track or established academic position at a leading university
Active participation in research groups, conferences, or labs
Prior experience advising, peer-reviewing, or serving on academic committees

Details

Engagement: Part-time, project-based. Workload is flexible and variable
Location: Remote, global
Compensation: $100/hr+ (flexible for highly qualified candidates)
Commitment: Flexible; ideally 5–10 hours per week, but we also welcome highly qualified candidates with less availability

Why Join Us

Play a direct role in shaping how leading AI systems are trained and evaluated
Contribute your expertise beyond academia in a way that advances science and technology
Collaborate with a network of Fellows, Reviewers, and senior experts across multiple domains
Flexible, remote work with competitive compensation

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