$130-$360/hr disease-focused cancer care work, on your schedule
Evaluate a model's output in your corner of oncology - a HER2-low breast case, a transplant conditioning call, a CAR-T eligibility decision. Flag the recommendation that misreads a biomarker or picks the wrong trial.
Trusted by top research companies
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 heme-onc specialist flagging a wrong-risk-stratification call in an AML plan 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.
Oncology Subspecialties questions
Still curious? Write to us at support@terac.com.
That focus is precisely what we recruit for. This category exists separately from general oncology because disease-specific depth catches errors a broad reviewer never would. Tell us your exact subspecialty - breast, GI, GU, thoracic, gyn-onc, neuro-onc, heme malignancies, or BMT - and we route only cases inside it.
ABIM Hematology and/or Medical Oncology certification plus fellowship training in your disease area is exactly what we look for. For transplant and cellular therapy work, BMT fellowship or documented allo/CAR-T experience matters. Your credentials become attestations on your profile so labs route work correctly.
Only evaluating AI outputs. There is no real patient, no order, and no clinical liability. You review the model's plans, notes, and answers inside your disease and explain where the reasoning is right or wrong - the scrutiny you'd bring to a case at your tumor board.
Yes. Matching is by disease. You see treatment plans, risk-stratification summaries, transplant and cellular-therapy eligibility assessments, biomarker interpretations, and chatbot answers, all routed to your declared subspecialty. Tasks range from quick safety flags to detailed rubric scoring.
That is the core of the work. Risk groups, molecular classification, and conditioning intensity are where confident AI output goes quietly wrong, and where a mistake changes whether a patient is cured. Catching those subspecialty errors is what labs pay the top of the band for.
Why your expertise matters
Today's oncology AI risk-stratifies AML by outdated criteria, misses a HER2-low reclassification in breast, and clears patients for CAR-T without checking prior lines. Catching that takes a subspecialist, not a generalist. Your depth in one disease, where guidelines branch, is the signal these tools cannot get anywhere else.
How pay works
Subspecialty oncology projects pay $130-$360 an hour. Top rates go to hematologic malignancy, BMT, and rare organ-specific cases. Work is remote and asynchronous, scheduled around your clinic. No minimum commitment. You take what fits your subspecialty, and pay scales with case complexity.
What the work looks like
A sample of the disease-focused cancer care work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Flag an AML plan that assigns favorable-risk on an outdated framework, missing an adverse-risk cytogenetic abnormality that changes induction and transplant intent.
- Catch a breast cancer plan treating a HER2 IHC 1+ tumor as HER2-negative, missing HER2-low eligibility for an antibody-drug conjugate.
- Flag a CAR-T eligibility summary for relapsed large B-cell lymphoma that ignores prior lines and a contraindicating active CNS disease.
- Rank two myeloma induction regimens on transplant eligibility, triplet versus quadruplet logic, and maintenance planning.
- Red-team a chatbot recommending myeloablative conditioning for an older comorbid patient, catching the missed case for reduced-intensity conditioning.
- Score a metastatic colorectal plan on left- versus right-sided primary, RAS/BRAF status, and MSI-high immunotherapy eligibility for first-line therapy.
Specialties we match
Oncology Subspecialties projects span a wide range of focus areas. Tell us where you go deep and we route the work that fits.
- Disease-specific NCCN pathway interpretation
- Cytogenetic and molecular risk stratification (AML, MDS, myeloma)
- Hematologic malignancy classification (WHO/ICC)
- Breast oncology biomarker logic (ER/PR, HER2, HER2-low, Oncotype)
- GI oncology staging and RAS/BRAF/MSI decisions
- GU oncology risk groups and sequencing
- Thoracic oncology molecular profiling
- Gyn-onc and neuro-onc treatment pathways
- BMT and cellular therapy eligibility (auto/allo, CAR-T)
- Conditioning regimen and GVHD prophylaxis selection
- Maintenance, consolidation, and surveillance strategy
- Disease-specific clinical trial eligibility
