What if your clinical trial expertise could directly shape how AI understands and reasons about healthcare research? We're looking for experienced Clinical Study Managers to oversee the operational execution of clinical trials — and in doing so, help train the next generation of AI models built on real-world clinical data.
This is a fully remote, versátil contract role. If you have a strong background in clinical trial project management and know how to keep complex, multi-vendor studies running smoothly, this role was built for you.
Manage clinical trial timelines, milestones, and deliverables to ensure projects stay on track and on schedule
Oversee study budgets, financial forecasting, and cost tracking across multiple vendors and research partners
Coordinate with CROs, investigative sites, and internal teams to ensure smooth end-to-end study execution
Identify operational risks early, resolve issues proactively,
and keep all stakeholders aligned throughout the trial lifecycle
Contribute domain expertise to AI training projects that require deep knowledge of how clinical research actually works
Who You Are
Experienced clinical trial project manager with a proven track record managing budgets, timelines, and deliverables
Skilled at coordinating external vendors, CROs, and research partners across complex, multi-workstream studies
Sharp operational thinker — you anticipate problems before they escalate and know how to keep things moving
Clear communicator who can align diverse stakeholders around shared goals
Comfortable working independently and asynchronously in a remote environment
Nice to Have
Prior experience with data annotation, data quality assessment, or evaluation workflows
Familiarity with AI tools or interest in how large language models are developed and trained
Experience working across
📌 Clinical Study Manager (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.