$55-$125/hr clinical documentation work, on your schedule
Review AI-generated documentation, provider queries, and DRG assignments the way you'd review a chart before it drops. Flag the unsupported diagnosis, the missed comorbidity, the query that leads the provider. The judgment that ties documentation to what actually happened clinically 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 CDI specialist's eye on a record that won't support the DRG 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.
Clinical Documentation questions
Still curious? Write to us at support@terac.com.
Both the CCDS (Certified Clinical Documentation Specialist, offered by ACDIS) and the CDIP (Certified Documentation Integrity Practitioner, offered by AHIMA) are recognized equally on Terac. The credential matters less than your ability to reason through clinical validity, specificity, and the physician query process, which is what the evaluation tasks actually test.
Narrow sub-specialties are often more valuable than generalist backgrounds for this work, because AI models are evaluated against cases where clinical nuance is highest. If your expertise is in CC/MCC capture, secondary diagnoses under sepsis criteria, or cardiac hierarchies under MS-DRGs, you will find tasks specifically matched to those areas.
You will review and evaluate AI-generated query drafts for clinical validity, specificity, and compliance with AHIMA and ACDIS physician query practice guidelines, but you are not submitting queries to any real physician or patient record. The work is entirely synthetic and evaluative, so it does not implicate the scope-of-practice boundaries that govern live clinical documentation roles.
Tasks typically involve AI-generated or AI-annotated inpatient records including discharge summaries, history and physical notes, and progress notes, with a focus on whether principal diagnosis selection, secondary diagnoses, and POA indicators align with ICD-10-CM/PCS Official Guidelines and Coding Clinic guidance. You may also evaluate AI-produced clinical validation arguments or denial-response drafts in payer audit scenarios.
A coding credential like the CCS or RHIA is not required. Terac values the clinical judgment side of CDI, specifically the ability to assess documentation completeness, evaluate query compliance, and reason through clinical criteria such as Sepsis-3 or AHA stroke definitions, which comes from your CDI and nursing background rather than from formal coding certification.
Why your expertise matters
Clinical documentation integrity sits at the intersection of ICD-10-CM/PCS coding specificity, clinical evidence, and reimbursement logic, which means AI models trained without CDI input routinely produce queries, DRG assignments, and documentation templates that look plausible but fail on clinical validity or compliance. A CDI specialist can distinguish between a principal diagnosis that satisfies CC/MCC criteria and one that is unsupported by the clinical indicators in the record, a judgment that no automated system has yet reliably replicated. Frontier AI used in revenue cycle, ambient documentation, and autonomous coding needs that expert check to avoid propagating systematic errors at scale.
How pay works
Rates toward the top of the $55-$125/hr band reflect depth of specialization: CCDS or CDIP certification, subspecialty experience in complex DRG families such as sepsis, MCC hierarchies, or surgical complications, and a track record of working queries across multiple payer types. All work is fully remote, compensated by the hour, and payment releases only after your submission is verified complete - there are no unpaid reviews or speculative queues.
What the work looks like
A sample of the clinical documentation work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Review an AI-generated physician query for a sepsis case and flag where the model conflated SIRS criteria with Sepsis-3 definitions, then annotate the clinically defensible version.
- Evaluate a set of AI-assigned principal diagnoses against provided operative notes and H&P documents, marking each as supported, unsupported, or requiring additional clinical evidence.
- Write a worked example that walks through the decision logic for selecting the principal diagnosis in a multi-condition admit, showing how you weigh Uniform Hospital Discharge Data Set guidelines against documented clinical indicators.
- Score a batch of AI-drafted CDI working queries for compliance with facility query policy, CMS Conditions of Participation, and AHIMA/ACDIS practice guidelines.
- Identify where an AI-generated discharge summary creates a risk of a HAC (Hospital-Acquired Condition) flag by documenting a condition without a clear POA indicator, and explain the correction.
- Create a teaching case that demonstrates how to differentiate acute-on-chronic respiratory failure from acute respiratory failure using only the clinical documentation elements a model would have access to.
Specialties we match
Clinical Documentation 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 specificity
- DRG optimization and validation
- CC/MCC capture and clinical evidence review
- Working query composition
- Present-on-Admission (POA) indicator assignment
- Sepsis and SIRS clinical criteria
- UHDDS reporting guidelines
- Surgical complication vs. condition distinction
- CCDS / CDIP credentialing
- Outpatient CDI and HCC risk adjustment
- Clinical documentation template evaluation
- Payer-specific coverage and LCD compliance
