Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Oncology Clinical Researcher
Remote (Global)
$40 – $80/hr
July 14, 2026
Job description
Oncology Clinical Researcher (AI Training)
About the Role
What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that will support cancer research and treatment for millions of patients worldwide?
We're partnering with the world's leading AI research teams to build and evaluate frontier AI models in oncology. We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into AI-driven workflows — ensuring the systems we build reflect the scientific, regulatory, and clinical standards that matter most.
This is a fully remote, flexible contract role designed for oncology professionals who want to do meaningful, intellectually engaging work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and evaluate oncology clinical trial protocols — including patient enrollment strategies, endpoint selection, and regulatory compliance frameworks
- Analyze cancer trial data across safety, efficacy, and biomarker dimensions to assess treatment performance
- Translate trial outcomes into clear regulatory and scientific outputs aligned with FDA/EMA submission standards
- Review and evaluate AI-generated oncology insights for clinical accuracy, scientific validity, and regulatory alignment
- Help ensure that AI systems reasoning about cancer research are grounded in real-world clinical practice
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Experienced in designing and managing oncology clinical trials from protocol development through data readout
- Strong analytical background in oncology clinical data — including endpoints, safety profiles, and biomarker analysis
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you hold AI outputs to the same standards you'd apply in a clinical or regulatory setting
- Comfortable working independently on structured, task-based assignments
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation systems
- Background in oncology drug development, translational research, or medical writing
- Experience preparing or reviewing clinical study reports, IND/NDA submissions, or publications
Why Join Us
- Work directly on frontier AI systems transforming how the world approaches cancer research
- Influence how AI models understand, interpret, and reason about real oncology data
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Collaborate with leading AI research labs on some of the most consequential problems in medicine
- Potential for ongoing work and contract extension as new projects launch
Compensation by region
Pay varies by where you're based. Each region below is open to applicants in that country only.
Available in 3 regions: pick your country on click.
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