Clinical Data Annotation Specialist (Remote, Project-Based)

Perle • Lebanon, PA

35d • Remote

About The Position

We’re seeking Physicians, Dentists, and Pharmacists to join us as Clinical Data Annotation Specialists on a remote, project-based basis. In this role, your clinical expertise will directly influence the development of AI models used across large-scale healthcare partnerships. If you're excited about applying your medical background in the world of cutting-edge health technology, this opportunity lets you make a meaningful impact from anywhere in the world—while opening the door to long-term career growth within clinical AI.

Requirements

• A clinical degree in one of the following areas: Medical (e.g., MBBS/MD) Dental (e.g., BDS/DDS/DMD) Pharmaceutical (e.g., BPharm/PharmD)
• Solid understanding of common clinical terms, diagnostics, and healthcare workflows.
• Ability to interpret real medical records with strong attention to detail.
• Comfort identifying early-stage disease patterns or subtle clinical risk factors.
• Strong written communication and dependable clinical reasoning.
• Ability to work independently and manage project-based tasks.
• Openness to feedback and evolving guidelines.

Nice To Haves

• Experience in medical documentation, clinical research, healthcare analytics, or medical coding
• Exposure to AI/ML projects or data annotation tools
• Familiarity with EHR systems and structured/unstructured medical data

Responsibilities

• Annotate and label clinical data with accuracy, including symptoms, diagnoses, medications, patient histories, and clinical notes.
• Identify early disease indicators, capturing nuanced patterns that help AI systems understand health risks earlier.
• Validate data quality and ensure consistency across annotations.
• Work with Perle’s AI and product teams to refine annotation guidelines and create clinically meaningful labeling frameworks.
• Offer clinical interpretation for complex or ambiguous cases.
• Document your rationale clearly and consistently to support model reliability.

What This Job Offers

• Education Level: Ph.D. or professional degree
• Number of Employees: 1-10 employees