Generative AI Annotation Operations Engineer
Listed on 2026-01-10
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IT/Tech
AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Overview
Generative AI Annotation Operations Engineer. Sustainable Talent is partnering with NVIDIA to support the Annotation Project Design Team responsible for enabling high-quality training data at scale for foundational models. This is a full-time, W-2 contract role that is fully remote within the U.S. Preferred location is in or near Santa Clara, CA (hybrid welcome), with strong preference for Pacific Time. A competitive pay range of $40–$60/hr is offered based on experience and location, along with full benefits and PTO.
NVIDIA seeks a dynamic GenAI Annotation Operations Engineer to design and optimize annotation workflows that support model training and evaluation. You will work across teams to automate pipelines, configure tools, and support multi-stage, model-in-the-loop workflows essential to LLM development.
Responsibilities- Set up, test, and maintain UI configurations for annotation tasks using third-party and internal platforms.
- Build and adapt Python-based automation scripts for annotation pipelines, data processing, logging, and telemetry.
- Collaborate with researchers, engineers, PMs, and annotators to gather requirements and design workflows.
- Own projects end-to-end — from requirement gathering through delivery of annotated datasets.
- Track progress, manage risks, and implement corrective actions to keep workflows on track.
- Troubleshoot issues related to UI, pipelines, and data formatting.
- Document workflows and contribute to internal tools, playbooks, and pipeline validation logic.
- Support annotation operations across varied data types — with focus on LLMs and GenAI training.
- 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, Super Annotate) 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.
- Bonus: familiarity with telemetry systems, GenAI/LLM training environments, or RLHF pipelines.
Sustainable Talent is an equal employment opportunity and affirmative action employer (M/F+, disabled, and veteran status).
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