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Clinical Data Annotation Specialist; Remote, Project

Remote / Online - Candidates ideally in
Turkey (Türkiye)
Listing for: Perle
Remote/Work from Home position
Listed on 2025-11-25
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Security, Medical Imaging
Salary/Wage Range or Industry Benchmark: 150000 - 300000 TRY Yearly TRY 150000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Clinical Data Annotation Specialist (Remote, Project-Based)

Clinical Data Annotation Specialist (Remote, Project-Based)

Join to apply for the Clinical Data Annotation Specialist (Remote, Project-Based) role at Perle

About Perle

At Perle
, we collaborate with leading healthcare and technology partners to develop advanced AI systems that help identify disease earlier and support better patient outcomes. High‑quality clinical data—and the experts who can interpret it—are essential to this mission.

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/Pharm

      D)
  • 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.

Seniority level

  • Entry level

Employment type

  • Full‑time

Job function

  • Management and Manufacturing
  • Technology, Information and Internet

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