What the work involves
Physician AI evaluation projects can involve comparing medical answers, identifying errors, reviewing specialty outputs or building scoring rubrics. A project may be nonclinical, but its purpose, data and responsibilities still need to be defined.
Who the work may fit
Ask whether the task depends on your specialty or broader medical reasoning. Understand the rubric and examples before committing to volume. Do not accept a task outside your expertise just because it is described as AI training.
Questions before you say yes
- What output am I evaluating, and against which standard?
- Will I see patient information, and what approved environment must I use?
- Are orientation, calibration and revisions included in payable work?
- How are quality disputes and rejected submissions handled?
- What is the project duration, workload expectation and stop-work process?
Your first step
Request the task guide, a sample workflow and written data-handling rules. Ask how your clinical judgment is used and whether the project creates any patient-care responsibility.
What can go wrong
Uploading employer or patient records to an unapproved tool. Use only material and systems the engagement authorizes; do not assume a model-training project permits unrelated data sharing.
How to get started, step by step
Turn the idea into a specific next action. These are preparation steps, not approval to perform a role.
- Identify the specialty and reasoning tasks you can assess. Ask whether the project is nonclinical evaluation or creates patient-care responsibility.
- Request the rubric, examples and a sample workflow before promising volume. Clarify how disagreement with a score is handled.
- Confirm approved data sources and systems. Keep employer and patient records out of unapproved training tools.
- Get orientation, calibration, revisions, acceptance criteria, payment unit and stop-work terms in writing.
Where to look and who to ask
Use search terms and contacts that fit this work. Check the actual source and current requirements; these suggestions are not verified openings or Saile inventory.
- Search official project and employer career pages with clinician evaluator, medical AI evaluation, clinical annotator or specialty reviewer. Read the task description beyond the label.
- Ask professional contacts about projects that need your actual specialty judgment. Confirm the contracting entity and data-handling terms before accepting access.
- Check how the project assesses qualification and quality. A recruitment message or trial invitation is not a guarantee of accepted paid tasks.
Scheduling and payment realities
Ask whether payment is for time, a completed task or an accepted submission. Determine what happens if the rubric changes or work is rejected. A flexible deadline does not remove the need for a secure workspace and protected review time.
Keep gross pay and taxes separate
For federal employment taxes, the IRS considers control and the relationship, not only the contract label. Self-employed individuals generally pay income and self-employment tax and may need estimated payments. Keep payment and expense records and ask a tax professional about your actual arrangement; this guide does not calculate take-home pay.
IRS: Independent contractor or employee
IRS: Self-employed individuals tax center
Before you say yes: a final checklist
Do not let an unanswered question become an assumed term.
- Scope fits my expertise and any required authorizations.
- Time, deliverables, payment unit and expenses are written.
- Outside-work approval, conflicts and confidential-data handling are checked.
- Coverage, escalation or review responsibilities are clear.
- Starting and ending the engagement each have a written process.
Work types to compare
Telemedicine
Compare visit type, patient states, schedule and clinical support.
Locum tenens
Compare assignment duties, onboarding, travel and written terms.
Per diem / PRN
Compare minimum commitments, offered shifts and cancellation rules.
Consulting / project work
Compare eligibility, deliverables, conflicts and review deadlines.
Frequently asked questions
How much does this work pay?
This guide does not quote a market rate or promise earnings. Compare a verified written offer, including all required work and expenses.
Does Saile have this work available now?
Check the Saile app for current openings. This educational guide does not claim that a particular role or project is available.
Can I do this alongside my main job?
Check outside-work approval, conflicts, confidentiality and scheduling obligations before accepting.
What should I get in writing?
The work, deliverables, schedule, payment terms, coverage responsibilities, cancellation terms and the steps required before starting.
What should I do next?
Request the task guide, a sample workflow and written data-handling rules. Ask how your clinical judgment is used and whether the project creates any patient-care responsibility.
What the primary sources say
AI evaluation work often means reading clinical text. The first question is whether that text is patient information. HHS explains that the HIPAA Privacy Rule gives two ways to de-identify health information: Expert Determination and Safe Harbor. Safe Harbor requires removing a listed set of identifiers of the individual and of relatives, employers and household members, and the covered entity must have no actual knowledge that what remains could identify someone.
Ask the company whether the cases you will see are de-identified under one of those methods, and in writing. If they are not, ask what agreement covers your access and what you may do with the content. Do not copy cases from your own practice into a tool or share them with a vendor. Check your employer’s policies on outside work and on patient data before you start.
HHS: Guidance regarding methods for de-identification of protected health information