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Administrative Assistant Data Annotation Jobs in California

Sunday

Data Annotation Lead

Redwood City, CA · On-site

Responsibilities : • Build a data annotation team • Manage the people side of data annotations ... home robot to assist with household tasks. Founded in 2024, the company is headquartered in ...

Blackstone Talent Group

Annotation QA Specialist

Sonoma, CA · On-site

$30 - $35/hr

... * Assist with data analysis and reporting tasks as needed. Required Qualifications * Excellent attention to detail with a high degree of accuracy in reviewing and evaluating annotated data. * Strong ...

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Administrative Assistant Data Annotation information

What is the difference between Administrative Assistant Data Annotation vs Data Labeler?

AspectAdministrative Assistant Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice setting, administrative tasks, data annotation platformsRemote or office, focused on labeling data for AI models
Industry UsageBusiness, tech, AI developmentAI, machine learning, data processing
Common TasksScheduling, data annotation, document managementImage, text, or audio data labeling

While both roles involve working with data, Administrative Assistant Data Annotation combines administrative duties with data annotation tasks, often in an office setting. Data Labelers focus solely on labeling data for AI training, typically in remote environments. Understanding these differences helps job seekers identify the right role based on skills and work environment preferences.

What are Administrative Assistant Data Annotation jobs?

Administrative Assistant Data Annotation jobs involve supporting office operations while also labeling and categorizing data for machine learning and AI projects. These professionals handle clerical tasks such as scheduling, organizing files, and managing communications, in addition to ensuring data is accurately tagged and annotated according to specific guidelines. Their role is essential in helping organizations prepare high-quality datasets for AI models, combining administrative expertise with attention to detail in data processing. Strong organizational, communication, and computer skills are important for success in this position.

What are the key skills and qualifications needed to thrive as an Administrative Assistant Data Annotation, and why are they important?

To excel as an Administrative Assistant Data Annotation, strong organizational skills, attention to detail, and proficiency in data entry are essential, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, spreadsheets, and office management software like Microsoft Office or Google Workspace is typically required. Effective communication, time management, and problem-solving abilities set top performers apart in this role. These skills ensure accurate data processing, efficient workflow support, and high-quality outcomes for data-driven projects.

How does an Administrative Assistant Data Annotation role typically collaborate with other departments or teams?

As an Administrative Assistant Data Annotation, you will frequently collaborate with data scientists, engineers, and project managers to ensure annotated data meets project requirements and quality standards. Communication is essential, as you may need to clarify labeling guidelines, share feedback, and coordinate timelines. Additionally, you may work closely with other administrative staff to maintain documentation and streamline workflow processes, contributing to the overall efficiency of cross-functional projects.
What are popular job titles related to Administrative Assistant Data Annotation jobs in California? For Administrative Assistant Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Administrative Assistant Data Annotation jobs in California look for? The top searched job categories for Administrative Assistant Data Annotation jobs in California are:
What cities in California are hiring for Administrative Assistant Data Annotation jobs? Cities in California with the most Administrative Assistant Data Annotation job openings:
Administrative Assistant Data Annotation jobs near you
Infographic showing various Administrative Assistant Data Annotation job openings in California as of July 2026, with employment types broken down into 70% Full Time, 12% Part Time, and 18% Temporary. Highlights an 100% In-person job distribution.
Data Annotation Lead

Data Annotation Lead

Sunday

Redwood City, CA • On-site

Full-time

Posted 20 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.

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