Data Annotation Engineer
Skills
- Proficiency in Python scripting for data processing and automation.
- Strong problem-solving skills with systems thinking and automation-first mindset.
- Experience handling structured data formats like CSV, JSON, JSONL.
- Familiarity with cloud storage systems such as S3 and telemetry/monitoring concepts.
- Ability to communicate effectively with both technical and operational teams.
- Experience with data annotation platforms and modern ETL pipelines is a plus.
- Background in AI/NLP operations, product operations, or data analysis.
Responsibilities
- Set up, test, and maintain UI configurations for annotation tasks using third-party platforms and internal tools.
- Design and adapt automation scripts in annotation pipelines, data processing, logging, and telemetry.
- Collaborate with product managers, engineers, researchers, and annotators for project setup, requirement gathering, and quality review.
- Own projects end to end, from requirements to dataset delivery.
- Communicate updates, address concerns, and align expectations among stakeholders.
- Track progress, identify risks, and implement corrective actions to maintain project timelines.
- Troubleshoot project setup issues, pipeline failures, and UI bugs.
- Develop and maintain technical guidelines, playbooks, and tools for annotation project operations.
- Lead initiatives to improve annotation operations across different data domains.
Education
- Bachelor's degree required.
Benefits
- Competitive hourly pay between $86 and $90 based on experience and education.
- Full benefits package.
- Paid time off (PTO).
- Supportive and inclusive company culture.
Average salary estimate
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