Annotation Specialist II
An Annotation Specialist II is sought to support data labeling and quality annotation workflows. This role involves working with structured and unstructured data to improve machine learning and AI systems.
About the role
The Annotation Specialist II will be responsible for accurately labeling and annotating datasets used to train and evaluate machine learning models. This role requires a keen eye for detail and the ability to follow precise annotation guidelines consistently across large volumes of data.
The specialist will collaborate with cross-functional teams including data science and product to ensure annotation quality meets established standards. Reviewing and auditing previously annotated data to identify and correct errors will also form a core part of the responsibilities.
- Data Annotation: Label and tag text, images, or other data types according to defined guidelines
- Quality Assurance: Review annotated datasets to maintain high accuracy and consistency
- Guideline Adherence: Follow and interpret annotation schemas and style guides
- Collaboration: Work closely with data science and product teams to refine annotation processes
This is a mid-level individual contributor role suited to candidates with prior experience in data annotation, content review, or a related field, and who are comfortable working with large datasets in a structured, deadline-driven environment.