Contract Orthopedic Surgeon — AI Clinical Case Expert

KINETIC SYSTEMS, INC; San Francisco (CA); On-site; USD 276,000 - 551,000; Part time

Job summary

KINETIC SYSTEMS, INC is seeking an orthopedic surgeon to join as a Clinical Expert on a part-time contract in San Francisco. On-site is strongly preferred, but remote is considered for US candidates. The role supports an applied AI research lab at the intersection of healthcare and AI.

You will review cases, author clinical scenarios, and ensure decisions reflect real-world practice. This is a part-time engagement for 10–15 hours weekly for 1 month, with possible extension.

Qualifications

• MD or DO with an active, unrestricted medical license in the US.
• Board certification in Orthopedic Surgery (ABOS or AOBOS) or board eligible.
• Completed an accredited orthopedic surgery residency in the US.
• 2+ years of independent, hands-on practice after residency or fellowship.
• Currently practicing, or in clinical practice within the last 3 years.
• Working knowledge of AAOS clinical practice guidelines and appropriate use criteria.
• Excellent written English: you can explain your clinical reasoning precisely and concisely.
• Able to commit 10–15 hours per week for at least 1 month (possible extension).

Responsibilities

• Collaborate with researchers to define what good orthopedic care looks like in AI testing.
• Author clinical cases, assemble patient charts, pose questions, answer them, and judge the strength of responses.

Skills

Clinical judgment

Written English

Time commitment

Education

MD/DO with US license

Board certified in Orthopedic Surgery or eligible

US orthopedic residency completed

Tools

AAOS guidelines

Job description

KINETIC SYSTEMS, INC is seeking an orthopedic surgeon to join as a Clinical Expert on a part-time contract in San Francisco. On-site is strongly preferred, but remote is considered for US candidates. The role supports an applied AI research lab at the intersection of healthcare and AI.

You will review cases, author clinical scenarios, and ensure decisions reflect real-world practice. This is a part-time engagement for 10–15 hours weekly for 1 month, with possible extension.