Sustainable Talent
Generative AI Annotation Operations Engineer
Sustainable Talent, Santa Clara, California, us, 95053
Overview
Generative AI Annotation Operations Engineer. Sustainable Talent is partnering with NVIDIA to support the Annotation Project Design Team responsible for enabling high-quality training data at scale for foundational models. This is a full-time, W-2 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. A competitive pay range of $40–$60/hr is offered based on experience and location, along with full benefits and PTO. NVIDIA seeks a dynamic GenAI Annotation Operations 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. Qualifications
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 an equal employment opportunity and affirmative action employer (M/F+, disabled, and veteran status).
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Generative AI Annotation Operations Engineer. Sustainable Talent is partnering with NVIDIA to support the Annotation Project Design Team responsible for enabling high-quality training data at scale for foundational models. This is a full-time, W-2 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. A competitive pay range of $40–$60/hr is offered based on experience and location, along with full benefits and PTO. NVIDIA seeks a dynamic GenAI Annotation Operations 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. Qualifications
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 an equal employment opportunity and affirmative action employer (M/F+, disabled, and veteran status).
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