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, versatile 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

📌 Oncology Clinical Researcher (Edmonton)
🏢 Alignerr
📍 Edmonton