$100-$300/hr clinical and medical work, on your schedule
Walk through AI-generated diagnoses, treatment plans, and clinical notes the way you'd review a resident's work. Flag the dangerous suggestion, defend the standard of care, and explain the reasoning a textbook leaves out. The judgment you've built at the bedside - knowing when the obvious answer is wrong - is the part no model can fake.
Trusted by top research companies
Rated by experts worldwide
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 an attending's eye on a missed differential 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.
Physicians questions
Still curious? Write to us at support@terac.com.
Subspecialty depth is exactly what makes your contribution valuable. AI models struggle most at the boundary between general medicine and high-acuity specialty reasoning, so a fellowship-trained subspecialist reviewing cases in their own domain catches errors that a generalist reviewer would miss entirely. Fellowships in ACGME-accredited subspecialties are among the credentials in highest demand.
An active, unrestricted license in any U.S. state is the baseline requirement because Terac verifies credentials before you begin work. If your license is currently in retired or inactive status, you would need to reinstate it to a full active status to qualify, since the verification process checks against state medical board records directly.
No. Every task uses de-identified, fictional, or synthetic clinical scenarios created specifically for model training, and you are evaluating the quality of AI-generated reasoning rather than advising on actual patient care. The work is designed to stay outside the scope of the physician-patient relationship and does not trigger the kind of duty-to-warn or standard-of-care obligations that clinical practice carries.
Typical tasks include evaluating AI-generated differential diagnoses and clinical reasoning chains against evidence-based guidelines such as UpToDate, ACC/AHA, or USPSTF recommendations, reviewing model-written H&P notes and discharge summaries for medical accuracy and appropriate ICD-10 coding logic, and creating worked examples of how an attending-level physician reasons through ambiguous presentations. You may also stress-test AI outputs against edge cases in pharmacokinetics, drug-drug interactions, or rare-disease recognition depending on your specialty.
Yes. DO degrees and AOA board certifications are treated equivalently to their MD and ABMS counterparts. What matters is that your training, licensure, and board certification correspond to the clinical domain being evaluated, not the specific certifying body through which you achieved them.
Why your expertise matters
Physicians bring clinical reasoning that no dataset can fully replicate: the ability to synthesize ambiguous symptom constellations, order appropriately from a differential, and recognize when a presentation is deceptively benign or urgently dangerous. AI models trained on medical literature alone routinely miss the contextual judgment calls - when to deviate from a guideline, how to weigh a patient's comorbidity burden, or how a real physical exam finding changes everything. Getting that calibration right requires a working clinician who carries the weight of real diagnostic stakes, not a proxy.
How pay works
Physicians who work in high-acuity or procedurally complex specialties - emergency medicine, critical care, surgery, oncology - and who can articulate their reasoning step by step tend to land at the top of the $100-$300/hr band, because their judgment is harder to source and more consequential to model safety. Work is fully remote, paid hourly on verified task completion, with no minimum hours required, so you can fit sessions around your clinical schedule.
What the work looks like
A sample of the clinical and medical work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Review an AI-generated clinical note for a chest pain workup and flag any reasoning steps that deviate from AHA STEMI guidelines without clinical justification.
- Evaluate a model-produced differential diagnosis for an undifferentiated fever case and rank the list by plausibility given the stated exam findings and lab values.
- Write a worked example of how you approach a patient presenting with altered mental status, narrating your actual decision process from first impression through disposition.
- Assess whether an AI-drafted patient education handout on anticoagulation for atrial fibrillation accurately conveys bleeding risk in a way a patient could act on safely.
- Identify factual or dosing errors in a set of AI-generated antibiotic stewardship recommendations for a hospitalized patient with a documented penicillin allergy.
- Score AI responses to simulated patient questions about a new Type 2 diabetes diagnosis, rating each for clinical accuracy, completeness, and appropriateness of urgency signaling.
Specialties we match
Physicians projects span a wide range of focus areas. Tell us where you go deep and we route the work that fits.
- Clinical differential diagnosis
- Evidence-based medicine (EBM)
- ICD-10 / CPT coding accuracy
- SOAP note and H&P documentation
- UpToDate / PubMed literature appraisal
- Drug-drug interaction review
- AHA / ACC / IDSA guideline interpretation
- Radiology and lab result interpretation
- Procedural risk-benefit counseling
- CMS quality metrics (MIPS, HEDIS)
- Shared decision-making frameworks
- Medical ethics and informed consent
