Healthcare expert guide
Medical AI Training Jobs for Clinicians
Medical AI training work applies clinical and scientific expertise to the evaluation or creation of model outputs. Projects may need physicians, nurses, pharmacists, dentists, researchers, allied-health professionals, or specialists in healthcare operations. The work is usually about data quality, reasoning, and evaluation—not delivering patient care through Synthenova. This page shows recently verified source opportunities and the safeguards candidates should consider.
Verified opportunities
78
Last source check
Jul 30, 2026
Newest source posting
Jul 29, 2026
Disclosed monthly range
$60–$40,000/mo
Counts cover active, deduplicated records checked within seven days. Monthly values are normalized estimates from disclosed source rates, not guaranteed earnings.
What medical evaluation projects can ask for
Tasks can include checking clinical accuracy, identifying unsafe recommendations, creating specialist questions, comparing explanations, labeling medical concepts, reviewing evidence, or rewriting an answer to meet a rubric. Some projects focus on general medicine; others require a specific specialty, credential, language, or country context.
A project’s quality standard may differ from bedside decision-making. Contributors often evaluate provided text under defined instructions and must explain their reasoning clearly. Candidates should know whether current licensure, recent practice, research experience, or access to particular references is required before beginning an assessment.
Credentials, geography and scope
Professional titles and licenses are jurisdiction-specific. A remote listing can still restrict the countries where applicants live or where credentials were issued. Verify whether the source accepts students, retired clinicians, researchers without clinical licensure, or only currently practicing professionals.
Do not interpret an AI-training contract as authorization to provide medical advice or establish a patient relationship. The source should define task boundaries, confidentiality, and permitted references. If a prompt contains real patient information, follow the project’s privacy procedures and do not copy that material into personal tools.
Evaluating compensation and workload
Medical expertise can command higher disclosed rates, but rates may depend on specialty, geography, verification, assessment results, project urgency, and available task volume. Confirm whether credential review, onboarding, calibration, or rejected work is paid. Ask how hours are approved and how long the project is expected to remain active.
Compare an hourly contract with the opportunity cost of clinical, academic, or consulting work. Include taxes, benefits, malpractice considerations where relevant, equipment, and unpaid gaps. Synthenova reports source compensation without promising a particular rate or number of hours.
Quality and safety checks before applying
A credible listing should name the expertise needed, describe the evaluation or data task, explain the engagement type, and lead to an official source page. Check the verification date, eligible countries, disclosed currency, employer identity, and expiry signals. Missing information lowers Synthenova’s source-quality score and may keep a role out of search-engine discovery.
Never send medical-license documents to an unofficial domain, pay a recruiter, share account codes, or disclose patient data to prove expertise. Use the source platform’s authenticated process and confirm its current privacy and identity-verification practices. Report stale or misleading Synthenova records for review.
Checked in the latest source snapshot
Current opportunities
Mercor · 65/100 source quality
Medicare Advantage Members (Devoted Health) – Insight Study
Company not disclosed · Remote (United States)
Checked Jul 30, 2026
Mercor · 65/100 source quality
Human Resources Expert
Company not disclosed · Remote
Checked Jul 30, 2026
Mercor · 65/100 source quality
Adult Inpatient Nurses (RN)
Company not disclosed · Remote
Checked Jul 30, 2026
Mercor · 65/100 source quality
Project Coordinator — Longhorn
Company not disclosed · United States
Checked Jul 30, 2026
Mercor · 65/100 source quality
Government & Public Policy Expert
Company not disclosed · Remote
Checked Jul 30, 2026
Mercor · 65/100 source quality
EPM Recruiter — Expert Interviewer
Company not disclosed · US Remote
Checked Jul 30, 2026
Mercor · 65/100 source quality
Molecular Biology Experts
Company not disclosed · Remote UK
Checked Jul 30, 2026
micro1 · 80/100 source quality
Strategic Project Lead, MD/Medical Expertise
micro1 · remote
Checked Jul 30, 2026
Mercor · 65/100 source quality
LLM Red Team Specialist — Failure Modes & Edge Cases
Company not disclosed · United States
Checked Jul 30, 2026
Mercor · 65/100 source quality
QA/Test Engineer
Company not disclosed · United States
Checked Jul 30, 2026
Mercor · 65/100 source quality
STEM Researcher — Computational Fields
Company not disclosed · United States
Checked Jul 30, 2026
Mercor · 65/100 source quality
Data Science & Quantitative Analysis Expert
Company not disclosed · United States
Checked Jul 30, 2026