via Rippling
$40K - 60K a year
Annotate and label clinical data accurately to support AI model development in healthcare.
Must have a clinical degree (MD, DDS, PharmD) and strong understanding of clinical terms and healthcare workflows.
The Opportunity 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. What you'll do 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. Qualifications 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. Bonus points for: 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.
This job posting was last updated on 11/24/2025