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 |