Data Labeler - Medical Documents
We are seeking a detail-oriented Data Labeler to review and annotate medical documents. The primary responsibilities include categorizing documents by type (e.g., lab results, imaging reports, clinical notes) and identifying and labeling specific sections within each document (e.g., diagnosis, treatment plan, patient history).
Must Have:
- Strong attention to detail and accuracy
- Analyst or QA background
- Ability to follow guidelines and instructions consistently
- Motivation to learn and adapt to new information
- Ability to work independently and meet productivity targets
- Comfortable reading and processing technical documentation
Nice to Have:
- Familiarity with medical terminology
- Prior experience with medical or healthcare documentation
- Background in healthcare, life sciences, or related field
- Previous data annotation or labeling experience
Training will be provided on document types, medical terminology, and labeling protocols.
Required skills experience
| Data Analyst | 3 years |
| QA | 3 years |
Required domain experience
| Machine Learning / Big Data | 3 years |
Required languages
| English | C1 - Advanced |
Published 24 January
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