Remote Clinical Study Manager for AI Training

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 138,000; Full time

Job summary

Alignerr is seeking experienced Clinical Study Managers to bring real-world operational rigor to AI training in healthcare and medical research. This is a fully remote, hourly contract role with flexible hours, focusing on timelines, budgets, vendor oversight, and cross-functional coordination.

You’ll evaluate AI-generated clinical content for quality, work asynchronously on your own schedule, and collaborate with CROs, research sites, and internal teams to ensure robust data for AI models.

Qualifications

• Experience in clinical trial project management with budgets, timelines and vendor oversight.
• Proven track record coordinating with CROs, external research partners, or multi-site study teams.
• Ability to manage multiple complex workstreams without compromising quality.

Responsibilities

• Manage clinical trial timelines, milestones, and deliverables to keep complex projects on track.
• Oversee study budgets, financial forecasting, and cost tracking across multiple vendors and partners.
• Coordinate with CROs, research sites, and internal teams to ensure smooth operational execution.
• Identify risks early, resolve operational issues, and keep stakeholders aligned throughout the trial lifecycle.
• Apply your clinical expertise to evaluate and quality-check AI-generated content in healthcare and research contexts.
• Work independently and asynchronously — fully on your own schedule.

Skills

Clinical trial management

Budget management

Vendor oversight

Cross-functional coordination

Multi-site coordination

Job description

Alignerr is seeking experienced Clinical Study Managers to bring real-world operational rigor to AI training in healthcare and medical research. This is a fully remote, hourly contract role with flexible hours, focusing on timelines, budgets, vendor oversight, and cross-functional coordination.

You’ll evaluate AI-generated clinical content for quality, work asynchronously on your own schedule, and collaborate with CROs, research sites, and internal teams to ensure robust data for AI models.