Oncology Clinical Researcher (AI Training) About The Role What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing tools that will impact patients, researchers, and clinicians worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical trial expertise into cutting-edge AI research and evaluation workflows. Your knowledge of trial design, regulatory standards, and cancer biology will help ensure that the AI systems being built today reflect the rigor and nuance that oncology demands.
This is a fully remote, versátil contract role built for clinical professionals who want to engage with frontier technology — on their own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review and evaluate AI-generated oncology content for clinical accuracy, regulatory alignment, and scientific validity
Apply your expertise in trial protocol design, patient enrollment, and compliance to assess how well AI systems reflect real-world oncology practice
Analyze and interpret cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to identify gaps or errors in AI outputs
Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
Provide structured, expert feedback that directly shapes how frontier AI models reason about oncology data
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 biomarkers
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and methodical — you notice when clinical reasoning doesn't hold up
Comfortable working independently on complex, nuanced subject matter
Nice to Have
Prior experience with data annotation, data quality review, or AI evaluation workflows
Background in translational oncology or biomarker research
Experience preparing or reviewing regulatory documents for cancer therapeutics
Familiarity with AI tools or content evaluation platforms
Why Join Us
Work directly on frontier AI systems that are transforming how cancer research is understood and applied
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert-driven work
Influence how AI models understand real oncology data at the highest level of clinical and regulatory rigor
Potential for ongoing work and contract extension as new projects launch
Collaborate with world-leading AI research teams on problems that genuinely matter