Data Operations Specialist – GenAI Annotation

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. Apply tot his job