Sustainable Talent

Data Operations Specialist – GenAI Annotation

Santa Clara, California, United States

$83,200 – $124,800Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Accelerated Computing, AI & Machine LearningIndustries

About the Role

Sustainable Talent is partnering with NVIDIA, a global leader in AI and accelerated computing, to hire a Data Operations Specialist – GenAI Annotation. This role supports the Annotation Project Design Team, which is 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. The preferred location is in or near Santa Clara, CA (hybrid is welcome), with a 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.

Equal Opportunity Employer

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

Skills

Python
Data Annotation
ML Data Workflows
Software Engineering
Data Engineering
Automation
Data Processing
JSON
JSONL
CSV
LLM
GenAI
UI Configuration
Pipeline Management
Risk Management
Troubleshooting

Sustainable Talent

AI-powered talent recruitment solutions

About Sustainable Talent

Sustainable Talent is dedicated to modernizing the recruitment field, leveraging AI technology for efficient real-time recruiting, staff augmentation, and providing both full-time and contract roles. This company stands out as a bridge for talent in startups and established industry leaders, ensuring top companies are matched with the best individuals. Their commitment to cutting-edge technology and a focus on sustainable talent retention makes it an ideal workplace for those interested in the forefront of HR tech and innovative staffing solutions.

Wayne, NJ 07470, USAHeadquarters
2009Year Founded
VENTURE_UNKNOWNCompany Stage
Consulting, Enterprise Software, EducationIndustries
11-50Employees

Benefits

Health Insurance
Unlimited Paid Time Off
Hybrid Work Options

Risks

Increased competition from AI-driven recruitment platforms.
Remote work trend reduces demand for traditional staffing services.
Economic uncertainty may lead to hiring freezes.

Differentiation

Specializes in remote workforce management consulting services.
Expertise in diverse talent acquisition and inclusive workplace strategies.
Emphasizes commitment to sustainable business practices.

Upsides

Rising demand for remote work optimization services.
Growing emphasis on diversity and inclusion initiatives.
Expansion of the gig economy offers new staffing opportunities.

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