GenAI Annotation Operations Engineer
Overview
Design and optimize annotation workflows for foundation models supporting high-quality training data at scale. Work remotely within the United States focusing on Pacific Time.
What You'll Do8
- 1Set up test and maintain UI configurations for annotation tasks using third-party and internal platforms
- 2Build and adapt Python-based automation scripts for annotation pipelines data processing logging and telemetry
- 3Collaborate with researchers engineers PMs and annotators to gather requirements and design workflows
- 4Own projects end-to-end from requirement gathering through delivery of annotated datasets
- 5Track progress manage risks and implement corrective actions to keep workflows on track
- 6Troubleshoot issues related to UI pipelines and data formatting
- 7Document workflows and contribute to internal tools playbooks and pipeline validation logic
- 8Support annotation operations across varied data types with focus on LLMs and GenAI training
Requirements7
- 12–5 years of experience in data annotation operations ML data workflows or software/data engineering
- 2Proficiency in Python scripting for automation and data handling JSON CSV
- 3Experience with annotation tooling such as Scale AI Labelbox SuperAnnotate
- 4Comfort working with AWS S3 and cloud-based storage pipelines
- 5Strong communication skills to interface with technical and non-technical stakeholders
- 6Experience in multi-stage annotation workflows or model-in-the-loop systems
- 7Bonus familiarity with telemetry systems GenAI/LLM training environments or RLHF pipelines
Salary Insight
$83 - $125k per year
Location
Required Skills
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