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 Now
Apply Now
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 Now
Apply Now