About the role
Oncology Clinical Researcher (AI Training)
About The Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and regulators worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that oncology data, trial insights, and regulatory knowledge are accurately reflected in frontier AI systems.
This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical accuracy.
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 and regulatory compliance standards Analyze cancer trial data — safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA, EMA, and international standards Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory alignment Help shape how AI models reason about real oncology evidence, trial design, and clinical decision-making 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 background in analyzing oncology endpoints, safety data, and biomarker results Familiar with regulatory submission standards for agencies such as the FDA or EMA Detail-oriented and rigorous — you hold AI-generated content to the same standards as a peer-reviewed submission Comfortable working independently on structured, task-based assignments No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, data quality review, or evaluation systems Background in translational oncology, precision medicine, or biomarker research Familiarity with clinical data management systems or electronic data capture platforms Prior involvement in regulatory submissions or scientific publications
Why Join Us
Work directly on frontier AI systems transforming how the world understands cancer research Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, expert-level work Influence how AI models interpret and apply real oncology science at a global scale Collaborate with world-leading AI research labs on high-impact projects Potential for ongoing work and contract extension as new projects launch
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About the role
Oncology Clinical Researcher (AI Training)
About The Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and regulators worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that oncology data, trial insights, and regulatory knowledge are accurately reflected in frontier AI systems.
This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical accuracy.
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 and regulatory compliance standards Analyze cancer trial data — safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA, EMA, and international standards Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory alignment Help shape how AI models reason about real oncology evidence, trial design, and clinical decision-making 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 background in analyzing oncology endpoints, safety data, and biomarker results Familiar with regulatory submission standards for agencies such as the FDA or EMA Detail-oriented and rigorous — you hold AI-generated content to the same standards as a peer-reviewed submission Comfortable working independently on structured, task-based assignments No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, data quality review, or evaluation systems Background in translational oncology, precision medicine, or biomarker research Familiarity with clinical data management systems or electronic data capture platforms Prior involvement in regulatory submissions or scientific publications
Why Join Us
Work directly on frontier AI systems transforming how the world understands cancer research Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, expert-level work Influence how AI models interpret and apply real oncology science at a global scale Collaborate with world-leading AI research labs on high-impact projects Potential for ongoing work and contract extension as new projects launch