Data Operations Specialist – GenAI Annotation

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 to interface with technical and non-technical stakeholders. 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 teams to gather requirements and design workflows. Own projects from requirement gathering through delivery of annotated datasets. 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 across varied data types, focusing on LLMs and GenAI training.