Your impact

As an AI Tutor, Medicine Specialist, you will be instrumental in enhancing AI capabilities in healthcare and medical sciences by reviewing expert-annotated medical data. Your deep understanding of medical terminology, diagnostics, and treatments will ensure the development of reliable, high-quality AI outputs. This role requires precision, critical thinking, and a drive to bridge medicine with cutting-edge AI technology.

This is a contract remote position with variable time commitments. The services to be provided by the Contractor under this agreement are supplementary and not integral to the Handshake’s primary business operations. The Contractor’s services are distinct and separate from the core business activities of Handshake.

Your role

• Use proprietary software to evaluate AI-generated medical content and provide detailed feedback.

• Ensure accurate medical data curation to improve AI model performance.

• Collaborate with technical teams to improve tools and methodologies for medical content review.

• Review and analyze medical tasks across general practice, pathology, pharmacology, and more.

• Stay current on evolving medical guidelines and standards.

Your experience

• MD or PhD in Medicine or a related medical field (completed or in progress within the last 10 years).

• Strong understanding of clinical terminology and medical research.

• Excellent research, writing, and communication skills.

• Experience analyzing case studies or clinical literature.

• Passion for AI in healthcare.

Bonus areas of expertise

• Published research in medical journals.

• Experience with medical education or AI tutoring.

• Teaching experience in clinical or pre-clinical subjects.

• Familiarity with EHR or clinical documentation.

Additional Requirements

• Availability to work evenings and weekends as needed.

• Ability to quickly adapt to new skills and evolving requirements.

• Personal device must support Windows 10 or macOS Big Sur 11.0 or later.

• Reliable access to a smartphone.

Location & Work Expectations

• Fully remote position.

• No visa sponsorship available.

• Not hiring in Wyoming or Illinois at this time.

Compensation range

• $65/hr - $140/hr

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

About us

Handshake is building the future of human data for AI.

We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.

Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.

We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.

Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.