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Data Labeling Nvidia Jobs (NOW HIRING)

TwelveLabs

Senior ML Data Project Manager

San Francisco, CA · Remote

$150K - $160K/yr

... NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and ... Establish labeling guidelines, monitor data quality, and improve tools and infrastructure to build ...

Leidos

Computer Vision AI/ML Engineer

Huntsville, AL

$87K - $157K/yr

... data curation, data labeling, model training, and model evaluation * Experience with ... Experience deploying to various edge processing devices including the NVIDIA Jetson family and ...

Leidos

Computer Vision AI/ML Engineer

Huntsville, AL · On-site

$87K - $157K/yr

... data curation, data labeling, model training, and model evaluation * Experience with ... Experience deploying to various edge processing devices including the NVIDIA Jetson family and ...

Leidos

Data Scientist SME AI/ML

Odenton, MD · On-site

$154K - $278K/yr

Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM ... The "Technical Closer" label implies you aren't just managing the project; you are the person who ...

Leidos

Data Scientist SME AI/ML

Odenton, MD

$154K - $278K/yr

Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM ... The "Technical Closer" label implies you aren't just managing the project; you are the person who ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

... systems to facilitate the collection, labeling, and use of visual data for ML training ... Experience with video processing frameworks such as NVIDIA DeepStream , DALI , or FFmpeg

Cloudera

AI Solutions Architect

Virginia, IL · Remote

... NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination ... to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data ...

Cloudera

AI Solutions Architect

Washington, DC · Remote

... NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination ... to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data ...

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All JobsData Labeling Nvidia Jobs

Data Labeling Nvidia information

Is data labelling a good career?

Data labeling is a foundational role in machine learning and AI development, involving annotating data to improve model accuracy. It often requires attention to detail, basic technical skills, and can offer entry-level opportunities with flexible schedules. While it can be a stepping stone to more advanced roles in data science or AI, it may have limited career growth without additional skills or experience.

What are the key skills and qualifications needed to thrive as a Data Labeling Specialist at Nvidia, and why are they important?

To succeed as a Data Labeling Specialist at Nvidia, you need attention to detail, basic data analysis skills, and familiarity with data annotation processes, typically supported by a relevant degree or experience in data handling. Proficiency with data labeling platforms, annotation tools, and sometimes scripting languages like Python is often required. Strong organizational skills, reliability, and the ability to follow detailed instructions are essential soft skills for this role. These skills ensure high-quality, accurate datasets that are crucial for training and validating AI models used in Nvidia’s cutting-edge technologies.

What is the difference between Data Labeling Nvidia vs Data Annotation Specialist?

AspectData Labeling NvidiaData Annotation Specialist
CredentialsBasic technical skills, familiarity with AI toolsSimilar credentials, often with some technical background
Work EnvironmentTech companies, AI/ML teams, remote or on-siteTech firms, research labs, remote or on-site
Industry UsagePrimarily in AI hardware and software developmentAcross AI, machine learning, and data processing industries

Data Labeling Nvidia focuses on preparing data for AI models, often within Nvidia's ecosystem, while Data Annotation Specialists perform similar tasks across various companies. Both roles require technical skills and are integral to AI development, but Data Labeling Nvidia is more specialized within Nvidia's hardware and software context.

What is data labeling at Nvidia?

Data labeling at Nvidia involves annotating or tagging data such as images, videos, or audio to train artificial intelligence and machine learning models. This process is crucial because accurately labeled data helps improve the performance of AI models used in applications like autonomous vehicles, robotics, and computer vision. Data labelers at Nvidia may use specialized software tools to mark objects, classify scenes, or provide other relevant information, ensuring the data is both high-quality and consistent. The work typically requires attention to detail and the ability to understand labeling guidelines specific to Nvidia's projects.

What are some common challenges faced by data labeling specialists at Nvidia, and how are they addressed within the team?

Data labeling specialists at Nvidia often encounter challenges such as ensuring high accuracy when annotating complex or ambiguous data, maintaining consistency across large datasets, and meeting tight project deadlines. To address these challenges, Nvidia provides robust training, utilizes specialized annotation tools, and encourages collaboration through regular team check-ins and quality audits. Team members frequently review each other's work to uphold standards and share best practices, fostering a supportive environment for continuous improvement.
Infographic showing various Data Labeling Nvidia job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 6% Part Time, 3% Temporary, and 15% Contract. Highlights an 85% In-person, and 15% Remote job distribution.
Senior ML Data Project Manager

Senior ML Data Project Manager

Twelve Labs, Inc

San Francisco, CA • On-site

$150K - $160K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago

Job description

Who We Are:
At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
We are a global company that values the uniqueness of each person's journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
About the Role:
You will be a vital member of our ML Data Team - which leads the full spectrum of video-language data preparation and model evaluation. This role comes with high ownership and includes responsibilities such as defining dataset needs and requirements in consultation with our research and product teams; designing and building data pipelines; and driving our post-training model evaluation strategy. You will also be responsible for automating as much of the repetitive partnership, annotation, and quality evaluation work as possible. A desire to work cross functionally and to build relationships is critical for success in this position.
You will:
  • Model Evaluation: Design and build robust model evaluation frameworks, automating repetitive processes and maintaining a balanced approach to efficiency and depth in obtaining evaluation metrics and feedback.
  • Portfolio Monitoring: Manage resource allocation and timelines, adjusting direction flexibly based on real-time information across all data streams in your product vertical.
  • External Partner Collaboration: Enhance dataset and process quality through seamless collaboration with vendors and outsourcing partners.
  • Data Quality & Tooling Advancement: Establish labeling guidelines, monitor data quality, and improve tools and infrastructure to build a sustainable data operations framework.
  • Internal Collaboration: Partner with Engineering and AI Model teams to align on top priority data needs, design tools such as analytical reports and dashboards, and clearly communicate project progress.

You may be a good fit if you have:
  • 5+ years of experience working in an AI focused data operations organization.
  • A proven track record designing and executing large scale data or evaluation projects, including gathering, labeling, and post-processing data.
  • The ability to analyze messy and complex data, identify overarching patterns, and distill your findings into crisp annotation guidelines or model quality reports.
  • Proficiency with Python, LLMs, or other popular industry tools for automation.
  • Excellent communication and project management skills, and the ability to support several projects simultaneously.
  • A foundational understanding of and interest in LLMs/VLMs and multimodal AI.
  • Conviction that data is the key ingredient for the performance and assessment of AI models.

You'll stand out if you have:
  • Experience in data collection and labeling for multimodal language models.
  • Experience in red teaming, localization testing, or other evaluation focused fields.
  • Experience working with research scientists and engineers.
  • Expertise or interest in video-centric domains, such as sports, advertising, and content creation.

Tech Stack:
  • Development & Analysis: Python (primarily pandas, Jupyter, etc.)
  • Data Management & Visualization: Amazon S3, Various data visualization tools (framework-agnostic)
  • Project Management Tools: Linear, Notion

Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
We are a global company that values the uniqueness of each person's journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
Benefits and Perks:
An open and inclusive culture and work environment.
Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
Full health, dental, and vision benefits.
Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.

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