Clinical Data Annotation Specialist (Remote, Project-Based)

Clinical Data Annotation Specialist (Remote, Project-Based)

Clinical Data Annotation Specialist (Remote, Project-Based)

Perle

2 horas atrás

Nenhuma candidatura

Sobre

  • 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.