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OpenTrain AI is seeking a Clinical Data Management AI Evaluation Expert for remote, part-time work. You will lead end-to-end clinical data generation and quality review across complete data rooms, ensuring realism, traceability, and internal consistency of datasets, tables, and narratives.
The role requires evaluating AI-generated data against CDISC/SDTM standards and developing evaluation materials, prompts, and rubrics for agent assessment. Strong data management leadership is essential.
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring and contracting for this role, helping qualified specialists apply their expertise to projects that shape how advanced AI systems are built.
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AI training is the human side of developing artificial intelligence. Experts generate examples, review model outputs, and create evaluation standards so AI systems can perform specialized work accurately and responsibly.
In this role, your clinical data management judgment will help assess whether AI-generated clinical work is realistic, traceable, internally consistent, and aligned with applicable standards.
OpenTrain is recruiting a Clinical Data Management AI Evaluation Expert to lead clinical data generation and quality review across complete clinical data rooms. You will examine protocols, datasets, tables, listings, figures, narratives, and derived metrics, ensuring that connected artifacts remain realistic, traceable, and internally consistent.
You will also create evaluation materials that measure an AI agent’s ability to perform comparable clinical data management work. The role is a remote contract opportunity for candidates in the United States or Canada.
You will manage expert review across the full clinical data-room workflow and translate your judgment into clear AI evaluation criteria. The work requires careful reconciliation from raw patient-level data through final outputs and derived results.
This role requires substantial clinical data management expertise and the ability to oversee interconnected clinical data artifacts. The structured listing identifies the experience level as entry level, while the role requirements call for at least five years of clinical data management experience, with 10 to 25 years preferred.
This opportunity is designed for clinical data management professionals who have led end-to-end workflows and can evaluate both clinical artifacts and the quality of AI-generated work. Experience translating expert review criteria into practical prompts, golden outputs, and scoring rubrics will be especially useful.
The project is open to qualified candidates located in the United States or Canada who can support the stated weekly time commitment.
Every major AI system depends on carefully prepared and reviewed examples. By contributing clinical expertise, you can help shape how AI handles specialized data management tasks while building experience in a fast-growing area of tech.
OpenTrain gives you a place to develop a durable AI training profile, discover projects aligned with your background, and apply for new opportunities as your experience grows.