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Data Annotation Jobs in Sunnyvale, CA (NOW HIRING)

Responsibilities : • Build a data annotation team • Manage the people side of data annotations • Create documentation • Be in the weeds and annotate data yourself anytime something new is ...

What to Expect We're looking for a Data Annotations Lead to join our Data team and own the operation side of data annotation and scale the team behind it. This role is about building and leading a ...

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Data Annotation information

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What are the most commonly searched types of Data Annotation jobs in Sunnyvale, CA? The most popular types of Data Annotation jobs in Sunnyvale, CA are:
What are popular job titles related to Data Annotation jobs in Sunnyvale, CA? For Data Annotation jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Sunnyvale, CA look for? The top searched job categories for Data Annotation jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Data Annotation jobs? Cities near Sunnyvale, CA with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 2% Part Time, 5% Temporary, and 9% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution.

Data Annotation Lead

Sunday

Redwood City, CA • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, and they are seeking a Data Annotations Lead to build and lead an in-house data annotation team. This role involves managing the people side of data annotations, creating processes, and ensuring quality in data annotation efforts.
Responsibilities:
• Build a data annotation team
• Manage the people side of data annotations
• Create documentation
• Be in the weeds and annotate data yourself anytime something new is being designed
• Create data annotation processes
Qualifications:
Required:
• Clear written and verbal communication to guide our data annotators
• Your ability to manage unexpected challenges
• Your ownership of key stakeholders with data annotators, engineering, and support
• Excitement for the growth and development of data annotation
• Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
• A level of hardcore-ness while still treating people like people
• Intermediate level understanding of ML
Preferred:
• Previous experience leading data annotation teams
• Technical skills to build tools for data annotation
• Ability to leverage AI to help improve productivity
Company:
Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with household tasks. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Early Stage.