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Data Operations Specialist – GenAI Annotation

Santa Clara, CA - REMOTE

Sustainable Talent is partnering with NVIDIA, a global leader in AI and accelerated computing, to hire a Data Operations Specialist – GenAI Annotation to support the Annotation Project Design Team responsible for enabling high-quality training data at scale for foundational models.

 

This is a W-2 full-time 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. We offer a competitive pay range of $40–$60/hr, based on experience and location, along with full benefits, PTO, and excellent company culture. NVIDIA is seeking a dynamic and versatile Data Operations Specialist – GenAI Annotation 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.

 

 

What You’ll Do

  • 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.

 

What We’re Looking For

  • 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.
  • Bonus: familiarity with telemetry systems, GenAI/LLM training environments, or RLHF pipelines.

 

 

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

 

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