GenAI Annotation Operations Engineer

Company: NVIDIA (in partnership with Sustainable Talent) Location: Fully Remote (U.S.) - Preferred: Santa Clara, CA (Hybrid welcome) Time Zone Preference: Pacific Time Employment Type: W-2 Full-time Contract Pay Range: $40 - $60/hr (based on experience and location) Benefits: Full benefits, PTO

Position Overview

Sustainable Talent is partnering with NVIDIA, a global leader in AI and accelerated computing, to hire a GenAI Annotation Operations Engineer. This role supports the Annotation Project Design Team in enabling high-quality training data at scale for foundational models. NVIDIA is seeking a dynamic and versatile 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.

Requirements

• Experience: 2–5 years of experience in data annotation operations, ML data workflows, or software/data engineering.
• Technical Skills:
  • Proficiency in Python scripting for automation and data handling (JSON, JSONL, CSV).
  • Comfort working with AWS S3 and cloud-based storage pipelines.
• Preferred Experience:
  • Experience with annotation tooling (e.g., Scale AI, Labelbox, SuperAnnotate).
  • Experience in multi-stage annotation workflows or model-in-the-loop systems.
• Communication: Strong communication skills to interface with technical and non-technical stakeholders.
• Bonus Skills: Familiarity with telemetry systems, GenAI/LLM training environments, or RLHF pipelines.

Company Information

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