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Annotation Labelling Jobs in Sunnyvale, CA (NOW HIRING)

General Motors

Staff ML Systems Engineer

Sunnyvale, CA · On-site

Apply ML to labeling itself Collaborate with ML engineers to design and integrate ML-driven data annotation (pre-labeling, autolabeling, active learning loops), helping us move from human-only to ...

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by annotation labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

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

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Sunnyvale, CA?

For Annotation Labelling jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Annotation Labelling jobs in Sunnyvale, CA look for?

The top searched job categories for Annotation Labelling jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Annotation Labelling jobs?

Cities near Sunnyvale, CA with the most Annotation Labelling job openings:

Annotation Labelling jobs near you
Infographic showing various Annotation Labelling job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 45% Full Time, 50% Part Time, and 4% Contract. Highlights an 48% Physical, 1% Hybrid, and 51% Remote job distribution.

Technical Lead, Behavior & Triage Labeling

Nuro

Mountain View, CA • On-site

$235K - $352K/yr

Full-time

Re-posted yesterday

Job description

Who We Are
Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides.
Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors
About the Role
Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.
The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high-quality labeled data. This is facilitated by a comprehensive labeling stack featuring a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. Nuro's autonomy stack utilizes an industry-leading sensor suite. Our tools must handle the efficient processing and annotation of millions of points of sensor data. Our labeling infrastructure supports millions of scenes weekly.
The platform team's mission is to make labeled data accessible for all of our users. The system must be reliable and scalable. This includes everything from request submission to progress tracking, to data dumping and model development. The team closely collaborates with autonomy engineers to ensure our labeled data is high-quality and comprehensive. As Nuro prepares to expand and roll out our service, it will be more important than ever to ensure all issues are captured and quickly triaged.
About the Work
  • Build highly available, fault-tolerant systems for data annotation
  • Productionize core infrastructure for our state-of-the-art autonomy system
  • Elevate label quality by implementing data-driven metrics and monitoring
  • Apply cutting-edge ML research to automate and optimize the data labeling lifecycle

About You
  • You have a B.Sc. or M.Sc. degree and 5+ years of relevant industry experience
  • You have experience in designing, building, and operating highly scalable and reliable distributed data systems.
  • You have experience leading cross-team projects and have excellent communication skills
  • You are experienced in defining technical visions, creating roadmaps, and setting timelines and prioritization for a team or project.
  • You have strong problem-solving and programming skills in Python, C++ or Go

Bonus Points
  • Experience building reliable large scale distributed systems
  • Experience with observability, monitoring and incident management
  • Experience applying ML research in real world applications
  • Experience leading teams, designing and executing team roadmaps

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $235,030 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

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