Clinical Data Annotation Specialist (Remote, Project-Based)

SOLANA FOUNDATION; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A healthcare technology company is seeking Clinical Data Annotation Specialists from various clinical backgrounds to join a remote, project-based role. Your expertise will help annotate clinical data, identify early disease indicators, and validate data for development of impactful AI models. Ideal candidates should possess a clinical degree and be detail-oriented, with strong communication skills and the ability to work independently.

Qualificações

• Clinical degree in medicine, dentistry, or pharmacy.
• Solid understanding of clinical terms and workflows.
• Ability to interpret medical records accurately.

Responsabilidades

• Annotate and label clinical data with accuracy.
• Identify early disease indicators and nuanced patterns.
• Validate data quality and ensure consistency.
• Work with AI and product teams to refine guidelines.
• Document rationale clearly and consistently.

Conhecimentos

Attention to detail

Strong written communication

Clinical reasoning

Ability to work independently

Formação académica

Medical degree (MBBS/MD)

Dental degree (BDS/DDS/DMD)

Pharmaceutical degree (BPharm/PharmD)

Descrição da oferta de emprego

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/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.