Medical Data Annotator
Job Location:
Monthly Salary:
Posted on:
11 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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. 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.
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. 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.
