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medical data annotation clinical terminology medical content review ehr clinical documentationHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.
Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.
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.
Now’s a great time to join Handshake. Here’s why:
Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.
Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.
World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.
Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.
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 help 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 remote contract position with variable time commitments. The services provided are supplementary and distinct from Handshake’s core business operations.
Using proprietary software to evaluate AI-generated medical content and provide detailed feedback
Ensuring accurate medical data curation to improve AI model performance
Collaborating with technical teams to refine tools and methodologies for medical content review
Reviewing and analyzing medical tasks across general practice, pathology, pharmacology, and more
Staying current on evolving medical guidelines and standards
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
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
Engagement: Contract, remote, variable time commitment
Schedule: Flexibility required, with some evening and weekend availability
Location: Fully remote (no visa sponsorship available)
Technical Requirements: Personal device supporting Windows 10 or macOS Big Sur 11.0+ and reliable access to a smartphone
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