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Handshake

Machine Learning PhD - AI Trainer

Handshake
πŸ‡ΊπŸ‡ΈRemote - Remote (USA)$160K–$220K/yri59min ago
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Summary

Machine Learning PhDs will provide flexible, hourly contract work evaluating AI-generated content and offering feedback to improve AI's understanding of machine learning reasoning and technical problem-solving. This is project-based work designed to complement other professional or academic pursuits.

Key Responsibilities: Create domain-relevant questions and review AI-generated responses for accuracy, rigor, and relevance to real-world research practice. Provide feedback leveraging expertise in machine learning foundations, statistical methods, or computational optimization.
Skills & Tools: Deep expertise in machine learning at the doctoral level, strong written communication skills, and attention to detail. Ability to work independently, follow written guidelines, and evaluate technical content critically.
Qualifications: Current enrollment in or completed PhD in machine learning or closely related field with deep expertise in at least one area (foundations, statistical/probabilistic methods, or computational/optimization methods). Must be authorized to work in the United States.
Location: Remote (USA)
Compensation: $160K–$220K/yr (estimated)

Job Description

Opportunity Overview

Handshake is looking for Machine Learning PhDs to support AI research through flexible, hourly contract work. This is not a traditional academic or industry research role. You'll draw on your machine learning expertise to evaluate AI-generated content and provide feedback that helps AI better understand machine learning reasoning, proof construction, and technical problem-solving.

This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.

Who This Is For

This is a good fit if you're a current or graduated machine learning PhD with deep expertise in one or more of the following areas:

  • Foundations of machine learning

  • Statistical and probabilistic methods

  • Computational and optimization methods

What You'll Do

You'll use your machine learning expertise to create domain-relevant questions and review AI-generated responses for accuracy, rigor, and relevance to real-world physics research and practice.

No prior AI or technical experience is required.

Qualifications

We're looking for people who have:

  • A current enrollment in or a completed PhD in machine learning or a closely related field

  • Deep expertise in at least one area of machine learning at the doctoral level

  • Strong written communication skills and attention to detail

  • The ability to work independently and follow written guidelines

Application Process

  • Create a Handshake account

  • Upload your resume and verify your identity

  • Get matched and onboarded into relevant projects

  • Start working and earning

Work Model and Project Details

  • Status: Independent contractor (not a full-time employee role)

  • Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer

  • Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project

  • Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available

Work Authorization

Must be currently residing in the United States.
F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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