Medical Data annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various healthcare applications.
Should have one-two years of experience in labeling or annotating various healthcare data elements.
Ensure the quality and accuracy of annotated data by reviewing and verifying annotations for correctness and consistency
Follow and adhere to specific annotation guidelines, instructions, or specifications provided by the project or company. This includes understanding and applying domain-specific knowledge, as well as adapting to evolving requirements.
Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations.
Update Job Description-
- Perform accurate medical annotations based on set guidelines
- Review and validate medical annotations to ensure clinical accuracy, consistency, and compliance with established annotation guidelines.
- Assist in the creation, maintenance, and refinement of clinical annotation guidelines and documentation.
- Perform quality assurance reviews of annotated datasets and provide feedback to annotation teams.
- Identify annotation discrepancies, edge cases, and data quality issues and escalate findings appropriately.
- Collaborate with clinical experts, annotators, data scientists, and engineers to improve annotation quality and data consistency.
- Participate in AI/ML model evaluation activities by reviewing model outputs and identifying opportunities for improvement.
- Conduct basic error analysis and contribute clinical insights to improve annotation processes and model performance.
Level of experience-
Clinical education and experience in roles such as a registered nurse, physician, dentist, pharmacist, medical scribe, clinical laboratory technician, respiratory therapist, medical coder, or other healthcare-related role. Relevant healthcare experience may be considered in lieu of formal clinical certification.
1-3 years of experience in clinical informatics, healthcare data analysis, clinical documentation review, medical coding, quality improvement, or related healthcare technology roles. Exposure to healthcare AI, machine learning, natural language processing (NLP), data annotation, or clinical data labeling projects is preferred.
Pay: ₹300,000.00 - ₹550,000.00 per year
Benefits:
Work Location: In person
