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Data Annotation Engineer Jobs in Sunnyvale, CA (NOW HIRING)

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

They are seeking an experienced Data Infrastructure Engineer to enhance their AI data ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

They are seeking an experienced Data Infrastructure Engineer to enhance their AI data ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

TSMC

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

As a Senior Data Engineer in the AI Data Curation track, you will design and maintain scalable data ... annotation tools and platforms for manual or semi-automated labeling. • Experience with NLP data ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $400K/yr

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data ... Experience building data annotation and dataset management tools. The US base salary range for this ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $400K/yr

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data ... Experience building data annotation and dataset management tools. The US base salary range for this ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Experience with data annotation tools, dataset management, and augmentation techniques ... Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.

Turing

Client Director, Frontier Data - US

Palo Alto, CA

$255K - $325K/yr

Oversee the entire data lifecycle from client intake and annotation workflow design to delivery * Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and ... Work closely with tooling engineers to support data-related tasks. * Oversee data acquisition ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Sunnyvale, CA

Data Annotation Engineer information

See Sunnyvale, CA salary details

$61.3K

$175.4K

$234.4K

How much do data annotation engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data annotation engineer in Sunnyvale, CA is $175,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $233,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive as a data annotation engineer?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What job categories do people searching Data Annotation Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Data Annotation Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Data Annotation Engineer jobs? Cities near Sunnyvale, CA with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 68% Full Time, 9% Part Time, and 23% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $175,436 per year, or $84.3 per hour.

Helix AI Engineer, Data Infrastructure

Figure

San Jose, CA • On-site

$126K - $165K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Figure is an AI Robotics company developing a general purpose humanoid. They are seeking an experienced Data Infrastructure Engineer to enhance their AI data infrastructure by building tools and software components for managing robot data and cloud resources.
Responsibilities:
• Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
• Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
• Implement optimal data transmission and storage solutions for all stages of Figure’s data pipeline from recording to neural network training
• Work together with AI researchers to support new kinds of data workflows
Qualifications:
Required:
• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Minimum of 4 years of professional, full-time experience building reliable backend systems
• Experience with Linux and command line tools
• Experience with Python
• Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.)
Preferred:
• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
• Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
• Experience building data annotation and dataset management tools.
Company:
Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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