Generative AI Annotation Operations Engineer
Skills
- Proficiency in Python scripting for data automation.
- Strong problem-solving skills with systems-thinking and automation-first mindset.
- Excellent communication skills for interfacing with technical and operational teams.
- Experience with structured data formats such as CSV, JSON, JSONL.
- Knowledge of cloud storage concepts, e.g., AWS S3.
- Understanding of telemetry and monitoring systems.
- Experience with annotation platforms and ETL systems preferred.
- Basic knowledge of machine learning is a plus.
Responsibilities
- Set up, test, and maintain UI configurations for annotation tasks on third-party and internal platforms.
- Design and adapt automation scripts for annotation pipelines including data processing, logging, and telemetry.
- Collaborate with product managers, engineers, researchers, and annotators for project setup, prioritization, and quality review.
- Lead end-to-end ownership of annotation projects from requirements gathering to dataset delivery.
- Communicate project status, address concerns, and align expectations to ensure successful outcomes.
- Track project progress, identify risks, and implement corrective actions to maintain timelines.
- Troubleshoot issues in project setup, pipelines, and UI bugs.
- Develop and maintain technical documentation, playbooks, and internal tools.
- Lead initiatives to improve annotation operations across data domains.
Education
- Bachelor's degree required.
Benefits
- Competitive pay $86/hr - $90/hr.
- Full benefits package.
- Paid time off (PTO).
- Supportive and inclusive company culture.
Average salary estimate
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