TeracDomain experts
Radiologists: Medical Image Review for AI Benchmarks
$210/hr
About this role, in Terac's words
We are conducting a paid study to establish high-quality reference evaluations for medical imaging algorithms. We are looking for practicing radiologists to review de-identified clinical cases and provide expert reads using structured scoring rubrics.
What you'll do
What you would do
- Review de-identified medical images across various clinical modalities
- Provide expert clinical reads and diagnostic assessments for each case
- Complete structured scoring rubrics based on your findings
- Establish reference evaluations to serve as ground truth for algorithmic benchmarks
Candidate background
What this role asks for
- Radiology
- Medical Imaging
- Clinical Diagnostics
- Healthcare
Read from the posting's own words: show the exact sentences
- Radiology: “listed by the platform under required skills: Radiology”
- Medical Imaging: “listed by the platform under required skills: Medical Imaging”
- Clinical Diagnostics: “listed by the platform under required skills: Clinical Diagnostics”
- Healthcare: “listed by the platform under required skills: Healthcare”
Quoted from selected sections of Terac's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Terac's words
Posted by Terac, reproduced here so you can judge the role before clicking. Original posting ↗
We are conducting a paid study to establish high-quality reference evaluations for medical imaging algorithms. We are looking for practicing radiologists to review de-identified clinical cases and provide expert reads using structured scoring rubrics.
What We're Researching
We're running a paid study on the accuracy and reliability of diagnostic imaging algorithms. High-quality reference evaluations are essential for establishing safe and effective medical benchmarks. Your clinical expertise will directly inform the baseline ground truth used to evaluate these emerging tools. How It Works
You will review a series of de-identified medical images and associated clinical cases through a secure remote platform. For each case, you will provide an expert read and complete a structured scoring rubric. The workflow involves assessing specific diagnostic criteria and highlighting key anatomical or pathological findings. All tasks are completed asynchronously, allowing you to evaluate the cases at your own pace. Who This Is For
We are looking for licensed and practicing radiologists with strong clinical diagnostic experience. We welcome general radiologists, neuroradiologists, musculoskeletal radiologists, and other imaging subspecialists. Candidates must be comfortable applying standardized rubrics to complex diagnostic cases.
What you would do
• Review de-identified medical images across various clinical modalities
• Provide expert clinical reads and diagnostic assessments for each case
• Complete structured scoring rubrics based on your findings
• Establish reference evaluations to serve as ground truth for algorithmic benchmarks
Who this is for
• Active practice as a radiologist or specialized imaging physician
• Extensive experience interpreting complex clinical cases
• Comfortable providing structured, rubric-based diagnostic evaluations
Working with TeracPay, getting started and work, from Terac's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Paid through Virtual Incentives: PayPal, Venmo, a prepaid Visa card or direct cashout in the US, PayPal elsewhere. A payout starts once a submission is approved, and cashing out needs a $12.50 balance and a verified ID. terac.com/docs/experts/policies/payout-policy, terac.com/docs/experts/how-to/payments, terac.com/whats-new/2026-05-31-may-2026-updates
- Before your first paid task
- A verified government ID through Persona before you can apply, then a screening step for each study: a short form, an AI voice interview or a file upload. A study you are screened out of is not paid. terac.com/docs/experts/how-to/apply, terac.com/docs/experts/policies/rewards
- How much work
- Terac guarantees no number of opportunities and no earnings. Manually reviewed applications hear back in 1 to 5 business days. terac.com/docs/experts/policies/terms, terac.com/docs/experts/support/faq
- Contract
- Independent contractor, with Terac Inc. of California. terac.com/legal/terms-of-service
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Domain experts roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Terac's posting. How we count.
Pay across the field: Domain experts
Across 751 roles in this field with a stated hourly rate in US dollars, on 21 platforms, the middle half pays $61 to $125 an hour at the top of the range, and the median is $100. This role's top rate, $210, is in the top quarter. Of the 267 distinct rates we count, 255 are lower and 11 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| micro1 | 155 | $12 to $400 · median $110 |
| Alignerr | 148 | $24 to $200 · median $80 |
| AfterQuery | 93 | $45 to $175 · median $100 |
| Mercor | 90 | $55 to $450 · median $120 |
| Handshake AI | 81 | $30 to $300 · median $80 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 23 Oct 2026, and still on Terac's list when we last read it on 25 Oct 2026.
- 1 recorded pay change is not shown.
A change can also be a correction to how we read Terac's feed. The figure at the top of this page is always the latest read.
- Posted by Terac
- First seen by AIPayList
- Last seen live
- Listing ID
- vWneUoO5rJ--7FNe
Pay as the source states it: “Terac listing record, listed rate 210.00 USD HOURLY”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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