Generative AI Annotation Operations Engineer

2–5 years of experience in data annotation operations, ML data workflows, or software/data engineering. Proficiency in Python scripting for automation and data handling (JSON, JSONL, CSV). Experience with annotation tooling (e.g., Scale AI, Labelbox, SuperAnnotate) is highly preferred. Comfort working with AWS S3 and cloud-based storage pipelines. Strong communication skills. Experience in multi-stage annotation workflows or model-in-the-loop systems.

Set up, test, and maintain UI configurations for annotation tasks. Build and adapt Python-based automation scripts for annotation pipelines. Collaborate with cross-functional teams to gather requirements and design workflows. Own annotation projects end-to-end. Track progress, manage risks, and implement corrective actions. Troubleshoot issues related to UI, pipelines, and data formatting. Document workflows and contribute to internal tools. Support annotation operations for LLMs and GenAI training.