Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The EMR/EHR Implementation Specialist will leverage their expertise in clinical systems like Epic and Cerner to evaluate and enhance AI systems in healthcare. This role involves assessing AI-generated content for accuracy and relevance to real-world healthcare workflows. The position is fully remote, allowing for flexible hours between 10 to 40 per week. The specialist will provide structured feedback to improve AI model quality, making a significant impact on digital health advancements.
Key Responsibilities:
- Apply EMR/EHR expertise to evaluate AI-generated content related to clinical systems, workflows, and healthcare IT.
- Review and assess AI outputs for accuracy, clinical relevance, and real-world applicability.
- Identify gaps, errors, or misrepresentations in how AI models handle EMR/EHR concepts.
- Provide structured, expert feedback to help AI teams improve model quality.
- Draw on experience with Epic, Cerner, or similar platforms to inform nuanced evaluations.
- Work independently and asynchronously on your own schedule.
Key Skills:
- Hands-on experience implementing, configuring, or optimizing EMR/EHR platforms (Epic, Cerner, or similar).
- Strong understanding of clinical and administrative healthcare workflows.
- Ability to identify when AI-generated content reflects — or misrepresents — real-world system behavior.
- Detail-oriented with clear written communication skills.
- Comfortable working independently on task-based, remote assignments.
- No prior AI or data annotation experience required.
- Nice to Have: Epic or Cerner certification, experience with go-live support, end-user training, or system optimization, familiarity with data quality, data annotation, or AI evaluation workflows, background spanning multiple healthcare specialties or care settings.
Salary (Rate): £60.00 hourly
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
EMR/EHR Implementation Specialist (AI Training)
About The Role
We're looking for experienced EMR/EHR Implementation Specialists to help evaluate and improve AI systems being developed for healthcare environments. Your hands-on knowledge of clinical systems like Epic and Cerner will directly shape how AI understands, interprets, and supports real-world healthcare workflows — making a meaningful impact on the future of digital health.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Apply your EMR/EHR expertise to evaluate AI-generated content related to clinical systems, workflows, and healthcare IT
- Review and assess AI outputs for accuracy, clinical relevance, and real-world applicability
- Identify gaps, errors, or misrepresentations in how AI models handle EMR/EHR concepts
- Provide structured, expert feedback to help AI teams improve model quality
- Draw on your experience with Epic, Cerner, or similar platforms to inform nuanced evaluations
- Work independently and asynchronously on your own schedule
Who You Are
- Hands-on experience implementing, configuring, or optimizing EMR/EHR platforms (Epic, Cerner, or similar)
- Strong understanding of clinical and administrative healthcare workflows
- Ability to identify when AI-generated content reflects — or misrepresents — real-world system behavior
- Detail-oriented with clear written communication skills
- Comfortable working independently on task-based, remote assignments
- No prior AI or data annotation experience required
Nice to Have
- Epic or Cerner certification
- Experience with go-live support, end-user training, or system optimization
- Familiarity with data quality, data annotation, or AI evaluation workflows
- Background spanning multiple healthcare specialties or care settings
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work at the intersection of healthcare and artificial intelligence
- Potential for ongoing work and contract extension