Generative AI Annotation Operations Engineer

Company: Nvidia (in partnership with Sustainable Talent) Location: Santa Clara, CA (with remote work options) Employment Type: W-2 Full-time Contract Pay Rate: $86/hr - $90/hr (based on experience, education, location) Benefits: Full benefits, PTO, amazing company culture

Position Overview

Sustainable Talent is partnering with Nvidia, a global leader in transforming computer graphics, PC gaming, and accelerated computing. We are seeking a Generative AI Annotation Operations Engineer to support our client's annotation project design, setup, and operations team. This is a hands-on, highly cross-functional role for an individual passionate about designing and building efficient workflows, solving complex data problems, and collaborating with diverse teams.

NVIDIA is looking for a dynamic and versatile individual to lead the design and optimization of high-impact annotation projects and workflows that power AI research and development.

Responsibilities

• Set up, test, and maintain UI configurations for annotation tasks using a third-party annotation platform and internal tooling.
• Design and adapt automation scripts in annotation pipelines, data processing, logging, and telemetry.
• Collaborate with product managers, engineers, researchers, data annotators, and other cross-functional team members for annotation project setup, requirement gathering, prioritization, pre-annotation, and post-annotation processing and quality review.
• Act as the single-threaded owner of each project end-to-end— from requirement gathering to dataset delivery.
• Communicate project updates, address concerns, and align expectations to ensure successful project outcomes.
• Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course.
• Troubleshoot project setup issues, pipeline failures, and UI bugs.
• Develop and maintain technical guidelines, playbooks, and internal tools to build and operate annotation projects.
• Lead and support general annotation operation improvement initiatives across various data domains.
• Serve as a technical lead for annotation project design, setup, and operations, working closely with engineers, researchers, and operations leads to configure scalable workflows, integrate automation, and bring models into the loop.
• Design and maintain pipelines that support seamless task transitions across multi-stage workflows, enabling scalable, efficient annotation of high-quality datasets.

Requirements

• Bachelor's degree with 3+ years of experience in operations (AI/NLP operations, product operations, or data analysis) or software development.
• Strong problem-solving skills with a systems-thinking and automation-first mindset.
• Proficiency with Python scripting for data processing and automation.
• Excellent communication skills and the ability to interface with both technical and operational teams.
• Familiarity with structured data formats (CSV, JSON, JSONL), cloud storage (e.g., S3), telemetry, and monitoring concepts.
• Experience with data annotation platforms, modern ETL systems, and machine learning is a bonus.

Company Information

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