Revenue Cycle Specialist
DataAnnotation · Remote · Customer support / ops
Revenue Cycle Specialist is an open role at DataAnnotation, available remotely, with pay listed as Up to $125/hr.
Applications open on DataAnnotation’s own site. How we make money.
At a glance
- Pay
- Up to $125/hrEstimate, from DataAnnotation’s own wording
- Location
- Remote
- Work type
- Customer support / ops
- Listed
- Since Oct 24, last confirmed Oct 24
As listed by DataAnnotation: “Up to $125+/hr”
How the pay compares
Higher than 89% of the 76 distinct hourly rates advertised for Customer support / ops roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From DataAnnotation’s listing
“Overview Models describe the revenue cycle in clean theory and miss the mechanics that decide whether a claim pays: the real reason behind a CARC or RARC denial code, a payer rule that overrides the general one, an eligibility check that should have happened before the visit.”
Show the full listing
Overview Models describe the revenue cycle in clean theory and miss the mechanics that decide whether a claim pays: the real reason behind a CARC or RARC denial code, a payer rule that overrides the general one, an eligibility check that should have happened before the visit. Confident but unworkable billing advice quietly costs money, and an operator like you is who catches it. As a Revenue Cycle Analyst you'll evaluate AI answers on claims, denials, and payer operations, and write the guidance an experienced revenue cycle professional would give.
What you’ll actually do Write prompts that probe revenue cycle scenarios: claim submission, eligibility and prior authorization, denial and appeal workflows, and remittance posting. Review AI output for wrong denial reasons, misread remittance codes, and payer rules that would not survive contact with a real plan, and rate the reasoning. Write the correct answer when the model falls short, grounded in day-to-day revenue cycle operations.
Roles this fits Common backgrounds: Revenue Cycle Analyst, Claims Examiner, Health Plan Operations Analyst.
What we look for Hands-on experience in revenue cycle, claims, or health plan operations. Familiarity with denial and appeal workflows, remittance codes, and payer rules. Clear written English: your explanations are the training signal. No degree required. We care about what you can do, not where you learned it.
Compensation Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
About DataAnnotation: how it pays, how to get in, and what to know first. Read the guide →
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Frequently asked questions
How do I apply for the Revenue Cycle Specialist role at DataAnnotation?
Applications go through DataAnnotation's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. DataAnnotation's access model is "Open / self-serve" (Open application). This listing was first seen here on October 24, 2026 and was still live at the last check.
Is the Revenue Cycle Specialist role at DataAnnotation remote?
Yes - DataAnnotation lists this role as remote.
What does the Revenue Cycle Specialist role at DataAnnotation pay?
DataAnnotation indicates Up to $125/hr for this role, but hedges the figure rather than committing to it. Treat it as an indication: HumanSourcer flags hedged pay instead of presenting it as a firm rate, and the listing's own wording is quoted in the Pay section above.
What kind of work is Revenue Cycle Specialist?
Customer support / ops. Generalist and expert AI training; coding, STEM, law, medicine, writing
Is DataAnnotation a legitimate AI-training platform?
Reported worker-facing operating brand - and that relationship is rated "High - reported, not disclosed on portal" here because it can be checked against nymag.com rather than taken on DataAnnotation's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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