About the Role
This position involves reviewing and labeling audio-derived medical transcripts to train artificial intelligence systems in understanding clinical language and context.
Responsibilities
- Review and transcribe audio-based clinical notes with high precision
- Label medical terminology, diagnoses, and treatment plans in structured formats
- Ensure data consistency and adherence to annotation guidelines
- Identify and flag ambiguous or unclear clinical content
- Collaborate with quality assurance teams to refine annotation standards
- Maintain patient confidentiality and comply with healthcare data regulations
- Contribute to the development of training materials for new annotators
- Participate in regular calibration sessions to ensure labeling accuracy
- Track and report annotation throughput and error rates
- Provide feedback on tool usability and workflow efficiency
Nice to Have
- Previous work in medical coding or clinical documentation
- Exposure to natural language processing or AI projects
- Experience annotating unstructured text data
- Knowledge of EHR systems or clinical documentation practices
- Background in linguistics or computational linguistics
Compensation
Competitive hourly rate
Work Arrangement
Remote
Team
Collaborative team environment with cross-functional partners
Why This Role Matters
Your work directly improves the accuracy of AI systems that assist clinicians in generating reliable patient records.
What You’ll Bring
A meticulous approach to data quality and a strong grasp of clinical language patterns.
Not available
