AlignerrDomain experts
Healthcare Research Data Annotator
up to $50/hr
About this role, in Alignerr's words
We're looking for detail-oriented professionals with a healthcare or clinical background to label and verify research datasets that power the next generation of medical AI. Your annotations will directly influence how AI systems understand clinical information — making healthcare smarter, safer, and more effective.
What you'll do
- Apply accurate, consistent labels to clinical and medical research datasets
- Review and verify existing annotations for quality and correctness
- Interpret complex healthcare data and apply structured annotation guidelines
Show all 6 itemsHide the other 3 in What you'll do
- Flag ambiguous cases and document your reasoning clearly
- Maintain high annotation quality across large, specialized datasets
- Collaborate asynchronously with a quality-focused team
Candidate background
Who You Are
- Background in healthcare, clinical research, life sciences, or a related field
- Strong attention to detail and commitment to accuracy
- Comfortable working with complex, domain-specific datasets
- Able to follow detailed annotation guidelines consistently
- Self-motivated and reliable when working independently
- Experience in medical coding, clinical documentation, or health informatics is a plus
Nice to Have
Show all 3 itemsHide these 3 items in Nice to Have
- Familiarity with EHR data, clinical terminology, or ICD/CPT coding
- Prior experience in data annotation or labeling workflows
- Background in medical research or clinical trials
Quoted from selected sections of Alignerr'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 Alignerr's words
Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗
Healthcare Research Data Annotator (Medical AI)
About the Role
We're looking for detail-oriented professionals with a healthcare or clinical background to label and verify research datasets that power the next generation of medical AI. Your annotations will directly influence how AI systems understand clinical information — making healthcare smarter, safer, and more effective.
- Type: Hourly Contract - Location: Remote - Commitment: Flexible hours
What You'll Do
* Apply accurate, consistent labels to clinical and medical research datasets * Review and verify existing annotations for quality and correctness * Interpret complex healthcare data and apply structured annotation guidelines * Flag ambiguous cases and document your reasoning clearly * Maintain high annotation quality across large, specialized datasets * Collaborate asynchronously with a quality-focused team
Who You Are
* Background in healthcare, clinical research, life sciences, or a related field * Strong attention to detail and commitment to accuracy * Comfortable working with complex, domain-specific datasets * Able to follow detailed annotation guidelines consistently * Self-motivated and reliable when working independently * Experience in medical coding, clinical documentation, or health informatics is a plus
Nice to Have
* Familiarity with EHR data, clinical terminology, or ICD/CPT coding * Prior experience in data annotation or labeling workflows * Background in medical research or clinical trials
Why Join Us
* Contribute to cutting-edge medical AI projects with real-world healthcare impact * Fully remote and flexible — work on your own schedule * Freelance autonomy with meaningful, intellectually engaging work * Opportunity to apply your healthcare expertise in an innovative tech-driven field * Potential for ongoing work and contract extension
Working with AlignerrPay, getting started and work, from Alignerr's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Billed weekly, Monday to Sunday, with approved work paid by the following Friday, according to Labelbox's help center. Payment goes through Stripe Connect or PayPal depending on your location, with one provider per country. intercom.help/labelbox/en/articles/13600616-alignerr-paym..., alignerr.com/process
- Before your first paid task
- Sign up, apply, verify your identity, set up billing and onboard. Some jobs add a Zara AI interview or domain assessments. alignerr.com/process
- How much work
- Time to your first project depends on demand and your skills, and there is no minimum number of hours. alignerr.com/faqs
- Contract
- Independent contractor, under terms with ALIGNERR LLC. alignerr.com/faqs, alignerr.com/privacy
Read on the pages linked above on 24 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 Alignerr's posting. How we count.
Pay across the field: Domain experts
Across 692 roles in this field with a stated hourly rate in US dollars, on 18 platforms, the middle half pays $65 to $130 an hour at the top of the range, and the median is $100. This role's top rate, $50, is in the bottom quarter. Of the 259 distinct rates we count, 31 are lower and 219 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 148 | $24 to $200 · median $80 |
| micro1 | 130 | $28 to $400 · median $110 |
| AfterQuery | 88 | $45 to $175 · median $100 |
| Handshake AI | 79 | $30 to $300 · median $85 |
| Mercor | 78 | $55 to $450 · median $120 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 27 Aug 2026, and still on Alignerr's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Alignerr
- First seen by AIPayList
- Last seen live
- Listing ID
- bcd87989-5107-4691-9768-cac6b85c5b64
Pay as the source states it: “$30-50/hr”.
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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