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 the tools that will define the future of cancer research and treatment?

We're looking for Oncology Clinical Researchers to bring real-world clinical expertise into AI-driven research and evaluation workflows. Your experience designing trials, analyzing data, and navigating regulatory standards will ensure that the AI systems being built today reflect the scientific rigor and clinical accuracy that oncology demands.

This is a fully remote, flexible contract role — no relocation, no rigid schedule, just meaningful work on your own terms.

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, scientific validity, and regulatory alignment Apply your trial design expertise to assess how well AI models represent real-world oncology study protocols, endpoints, and enrollment standards Analyze AI outputs involving cancer trial data — including safety profiles, efficacy results, and biomarker interpretation — and provide structured expert feedback Evaluate AI-generated regulatory and scientific content against FDA, EMA, and ICH submission standards Translate your clinical knowledge into clear, actionable annotations and assessments that directly improve AI model performance Work independently and asynchronously on task-based assignments — 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 primary and secondary endpoints, safety monitoring, and biomarker analysis Familiar with regulatory submission standards for major agencies such as the FDA or EMA Detail-oriented and systematic — you notice when clinical reasoning doesn't hold up Clear and precise written communicator able to document expert feedback in structured formats Self-motivated and reliable when working independently

Nice to Have

Prior experience with data annotation, data labeling, or AI evaluation workflows

Background in translational oncology, biostatistics, or clinical pharmacology Experience contributing to regulatory submissions, clinical study reports, or scientific publications Familiarity with AI tools or research platforms as an end user

Why Join Us

Work directly on frontier AI systems being built to transform cancer research

Influence how AI models understand, reason about, and communicate real oncology science Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, expert-driven work Collaborate with world-leading AI research teams and labs Potential for ongoing work and contract extension as new projects launch