$130-$350/hr systemic cancer therapy work, on your schedule
Read a model's treatment plans and tumor board summaries the way you'd review a fellow. Flag the regimen that ignores a driver mutation or the dose that should have been held.
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 an oncologist catching a contraindicated regimen for an EGFR-mutant patient 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.
Medical Oncology questions
Still curious? Write to us at support@terac.com.
Narrow is an advantage. Labs route disease-specific cases to oncologists who live in them. If you spend your week in thoracic or breast oncology, you catch the biomarker and sequencing errors a generalist misses, and those cases pay at the top of the band. Tell us your focus and we match the work.
We ask for board certification (ABIM Medical Oncology or equivalent) and a license that is active or recently active. This is evaluation work on AI outputs, not the practice of medicine, so an active treating panel is not required. Verifiable credentials are how labs trust the judgment.
No. You never see a real patient, write a real order, or take on clinical liability. You review AI artifacts - treatment plans, notes, chatbot answers - and explain where the reasoning holds or breaks. It is the read you'd give a fellow, applied to a model.
Treatment plans, oncology notes, tumor board summaries, dosing calculations, and patient-facing chatbot answers. Some tasks are quick safety flags. Others are detailed rubric scoring of regimen selection and toxicity management. You can start lighter and move into deeper calibration work.
Exactly. The dangerous failures are not obvious nonsense. They are confident, well-formatted plans with a wrong line of therapy, an uncorrected dose, or a missed driver mutation. Surfacing those subtle errors is the entire value of an oncologist here, and it is what the pay reflects.
Why your expertise matters
Today's oncology AI doses carboplatin without correcting for a low GFR, reaches for chemo before checking an EGFR or ALK driver, and stages immunotherapy into active autoimmune disease. Catching that takes an oncologist, not a guideline. Your corrections teach these tools when to switch lines and when to stop.
How pay works
Medical oncology projects pay $130-$350 an hour. Top rates go to complex multi-line solid-tumor cases and rubric work. Work is remote, asynchronous, and scheduled around clinic. No minimum commitment. You take the projects that fit, and pay scales with case difficulty.
What the work looks like
A sample of the systemic cancer therapy work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Flag a first-line metastatic NSCLC plan that recommends chemoimmunotherapy without checking for an actionable EGFR or ALK alteration.
- Verify a carboplatin AUC calculation uses the Calvert formula correctly and caps GFR for renal impairment.
- Grade a model's immune-toxicity summary against CTCAE v5 where it understages grade 3 colitis and fails to hold the checkpoint inhibitor.
- Rank two second-line colorectal regimens on prior oxaliplatin exposure, RAS/BRAF status, and MSI-high immunotherapy eligibility.
- Red-team a chatbot recommending pembrolizumab for a patient with active lupus, catching the missed autoimmune contraindication.
- Spot where a breast cancer tumor board summary omits HER2-low status that qualifies the patient for trastuzumab deruxtecan.
Specialties we match
Medical Oncology projects span a wide range of focus areas. Tell us where you go deep and we route the work that fits.
- Systemic therapy selection and line sequencing
- NCCN guideline interpretation
- Chemotherapy dosing and BSA/AUC calculation
- Targeted therapy matching to driver mutations
- Immunotherapy eligibility and irAE management
- Biomarker interpretation (PD-L1, MSI/MMR, HER2, EGFR, ALK)
- Toxicity grading via CTCAE and dose modification
- Performance status assessment (ECOG/KPS)
- TNM staging across solid tumors
- Clinical trial eligibility and enrollment logic
- Goals-of-care and treatment de-escalation decisions
