$50-$115/hr revenue cycle and billing work, on your schedule
Review AI-generated claims, denials, and appeals the way you'd review a worklist before close. Flag the claim that'll bounce, the appeal that won't stick, the write-off that should've been fought. The judgment that recovers revenue payers would rather keep is what AI labs need.
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Hi, we're Zac and Jack, the founders of Terac. We want to talk to you directly, because you are the most important part of what we're building.
Terac is a community of experts. People who have spent years getting good at something specific and hard. The world is about to need more of you, not less. As AI takes on more of the world's work, the bottleneck shifts to the people who actually know what they're talking about.
Expert labor is the rarest resource in the world right now, and it is shockingly hard to find. The companies that need a revenue cycle analyst's eye on a denial that should be appealed spend weeks chasing people, paying placement fees, and settling for whoever is available. Meanwhile thousands of qualified people are sitting with knowledge that no one ever asks for.
That gap is what we're here to close. Every project that lands on Terac is routed to the people who actually know the answer, on their schedule, paid fairly, and only when the work is verified. No middleman taking a cut of your time. No vague gigs. No chasing checks.
We care about every single person in this community. If you join Terac, you're not a row in a database to us. We read the feedback. We answer the emails. We will fight for you when a customer is being unreasonable, and we will be honest with you when something on our side is broken. The quality of this panel is our entire company, and we owe you a serious bar.
If you've made it this far, here is what we're asking: claim your profile. Put your expertise on the record. Let the world's most ambitious teams come find you for the work only you can do.
Revenue Cycle questions
Still curious? Write to us at support@terac.com.
Denial specialists are among the most in-demand profiles we work with, because AI models struggle precisely with the judgment calls that experienced denials staff make daily: interpreting payer-specific LCD/NCD conflicts, constructing clinical necessity arguments, and deciding when an appeal is worth the cost. Your focus is an asset, not a limitation. Generalist billing knowledge is helpful context, but deep expertise in a narrow area like denials, charge capture, or payer contracting is what produces the most useful training signal.
Your specific credential shapes which task categories you are matched to. AHIMA credentials like the CCS or RHIA are weighted toward coding accuracy reviews and ICD-10-CM/PCS sequencing tasks, while AAPC credentials like the CPC or COC are weighted toward professional-fee and outpatient coding evaluations. Uncredentialed billing managers with verifiable years of hands-on experience in AR, claims, or payer relations also qualify, but will be matched to workflow and process tasks rather than coding adjudication tasks.
The tasks vary but are grounded in real revenue cycle artifacts: you might evaluate whether an AI's suggested ICD-10 or CPT code sequence is clinically and technically accurate, assess whether an AI-drafted appeal letter correctly applies payer-specific medical necessity criteria, or work through a scenario where the model proposes a denial root-cause analysis and you judge its reasoning. You may also create annotated worked examples that walk through how an experienced biller or coder would handle a complex remittance or underpayment dispute, step by step.
Tasks are designed with de-identified or synthetic patient data, so you will not be handling real PHI in your work for Terac. That said, your HIPAA fluency is directly relevant: some tasks ask you to assess whether an AI's proposed workflow or documentation practice would create a compliance gap in a real-world setting, and your ability to spot those issues is exactly what makes expert review valuable. You are never asked to advise on a live patient account or act in any capacity that would constitute providing compliance counsel to a covered entity.
Payer-side experience is explicitly in scope and often underrepresented in our expert pool. Payment integrity, claim audit, clinical editing, and coordination-of-benefits expertise give you a perspective that helps evaluate AI outputs from the angle of what actually triggers a denial or recoupment, which is distinct from what a biller or coder sees. If your background includes working with editing platforms like ClaimsXten or Cotiviti's Correct Coding systems, that context is directly applicable to tasks involving AI coding and editing logic.
Why your expertise matters
Revenue cycle and medical billing sits at the intersection of clinical documentation, payer policy, and federal regulation, making it one of the highest-stakes domains for AI error. A model that miscodes a procedure, misapplies a payer LCD, or conflates ICD-10-CM specificity rules can trigger claim denials, compliance audits, or improper payments at scale. Your judgment about whether an AI-generated billing recommendation is actually defensible under RAC scrutiny or payer contract terms is exactly what labs need to calibrate these systems before they reach production.
How pay works
Specialists who work at the top of the $50-$115/hr range typically bring deep experience in a high-complexity niche such as Medicare Advantage risk adjustment coding (HCC mapping), hospital outpatient prospective payment system (OPPS) edits, or payer-specific appeals and denial management workflows. Proficiency with encoder platforms like 3M360 Encompass or Optum EncoderPro, combined with credentials such as CPC, CCS, CPMA, or CRC, also correlates with higher placement. All work is fully remote, billed hourly, and released for payment only after your submitted deliverable passes verification, with no minimum hours required per week.
What the work looks like
A sample of the revenue cycle and billing work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Review an AI-generated ICD-10-CM coding recommendation for a complex inpatient encounter and flag any specificity errors, sequencing mistakes, or missing secondary diagnoses that a payer would reject.
- Evaluate a model-produced explanation of a Medicare LCD coverage criterion and identify where the AI overgeneralized the indication, omitted required diagnostic thresholds, or misattributed the policy to the wrong MAC jurisdiction.
- Annotate a set of AI-drafted denial appeal letters, marking whether each clinical rationale accurately cites the applicable payer policy and whether the supporting documentation references are correctly matched to the claim line.
- Create a worked example showing how you would assign HCC codes from a provided progress note, narrating your reasoning about suspect diagnosis capture, chronic condition coding conventions, and hierarchical exclusion rules.
- Stress-test an AI coding assistant by submitting an operative note for a multi-procedure encounter and documenting every instance where the tool incorrectly bundled separately reportable services or missed a modifier requirement.
- Score a batch of AI-generated patient financial responsibility estimates for accuracy against the underlying EOB, contractual adjustment logic, and applicable balance billing protections under the No Surprises Act.
Specialties we match
Revenue Cycle projects span a wide range of focus areas. Tell us where you go deep and we route the work that fits.
- ICD-10-CM/PCS coding
- CPT and HCPCS Level II coding
- HCC risk adjustment (CRC/CCS-P)
- Charge capture and CDM maintenance
- Denial management and appeals
- Medicare LCD/NCD compliance
- OPPS and APC grouping
- RAC and OIG audit response
- Payer contract interpretation
- Medical necessity documentation review
- NCCI and MUE edits
- Prior authorization workflows








