Expert Domain

Oncologist AI Jobs

Oncology is complex, fast-moving, and high-stakes, exactly where AI needs expert oncologists to keep it accurate and safe. This is premium remote work. Live openings are below.

See live oncologist ai roles → Take the quiz

Why oncologists are needed

Cancer care depends on precise, current knowledge of staging, guidelines, and rapidly evolving treatments, and AI models frequently get the nuance wrong or cite outdated protocols with confidence. In oncology, that can be dangerous. Labs need oncologists to evaluate cancer-care AI for accuracy and safety, catch outdated or unsafe recommendations, and write realistic oncology scenarios. The depth required and the scarcity of oncologist time place this at the top of the pay range.

Your command of current oncology practice is precisely the judgment these models are missing.

What oncologist AI work pays

Oncology expertise is premium.

LevelBackgroundCommon pay
Oncology traineeResident or fellow$70-$110/hr
Practicing oncologistBoard-certified oncologist$110-$210/hr
SubspecialistMedical, radiation, or surgical oncology$150-$250/hr

See related work on the medical AI jobs page, or read our physician guide.

Who oncologist AI work suits

It fits oncology professionals across the field.

Remote, flexible, top-tier pay

The work is remote and async, fitting around clinical duties, and it pays near the top of the market. To find current openings, browse the live roles below or take the quiz.

Take the quiz or browse live medical roles.

Live Oncologist AI roles, updated weekly

These listings come straight from the current board, so you only ever see roles that are open right now. Each links directly to the platform where you apply.

Browse live oncologist ai roles →

Frequently Asked Questions

Can oncologists get paid to train AI?

Yes. Oncologists are paid to evaluate cancer-care AI for accuracy and safety, catch outdated or unsafe recommendations, and write realistic oncology scenarios. It is top-tier paid work.

How much do oncologist AI jobs pay?

Oncology trainees earn about $70 to $110 an hour, practicing oncologists $110 to $210, and subspecialists $150 to $250, set per project.

What does the work involve?

Evaluating oncology AI recommendations for accuracy and currency, catching unsafe or outdated advice, and writing realistic cancer-care scenarios that train and test the model.

Does it fit around clinical work?

Yes. It is remote and async, so oncologists typically do it around their schedule in the hours that suit them.

What is the starting pay for Oncologist AI work?

Entry level is oncology trainee at $70-$110/hr, covering resident or fellow. Rates rise with experience and specialization, reaching $150-$250/hr for subspecialist.

How do I earn the top rate in Oncologist AI work?

The top band, $150-$250/hr, goes to subspecialist: medical, radiation, or surgical oncology. Building a strong quality record and specializing in that area is what moves you up from the entry band.

Where can I find Oncologist AI roles right now?

Live Oncologist AI openings are aggregated on the NeonLabs Hub job board, filtered to this category. Each listing links directly to the platform where you apply, and applying is always free.

Is it worth it to pursue oncologist AI Jobs in 2026?

For most people, yes, provided you want flexible work rather than a fixed salary. Real rates run about $15 to $250 an hour, the work is fully remote and async, and there is no interview in the traditional sense. It is a weak fit if you need guaranteed weekly hours or benefits.

Do you need a degree or prior experience for oncologist AI Jobs?

Not for the entry tier. Generalist evaluation work rewards careful judgment and clear writing more than credentials, so beginners with no experience are regularly accepted. A degree or professional background does matter for the specialist tiers, which is where the upper end of the $15 to $250 an hour range sits.

Can I do oncologist AI Jobs part time while working full time?

Yes, and most people do. The work is asynchronous and project-based with no set shifts, so you pick up tasks around your schedule, typically evenings and weekends. There is no minimum hour commitment on the major platforms.