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Full Time Ai Data Annotation Jobs in California (NOW HIRING)

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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 ... annotation and dataset management tools. The US base salary range for this full-time position is ...

Apple

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...

Apple

AI Data Platform Engineer

Cupertino, CA

$150K - $277K/yr

Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Required : • 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles. • Proven experience defining data quality standards, evaluation frameworks, annotation ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Required : • 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles. • Proven experience defining data quality standards, evaluation frameworks, annotation ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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All JobsAi Data Annotation JobsFull Time Ai Data Annotation JobsFull Time Ai Data Annotation Jobs in California

Full Time Ai Data Annotation information

What are some common challenges faced by full time AI data annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

What are the key skills and qualifications needed to thrive as a full time AI data annotation specialist?

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What is a full time AI data annotation job?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

What are the most commonly searched types of Ai Data Annotation jobs in California? The most popular types of Ai Data Annotation jobs in California are:
What are popular job titles related to Full Time Ai Data Annotation jobs in California? For Full Time Ai Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Full Time Ai Data Annotation jobs in California look for? The top searched job categories for Full Time Ai Data Annotation jobs in California are:
What cities in California are hiring for Full Time Ai Data Annotation jobs? Cities in California with the most Full Time Ai Data Annotation job openings:
Full Time Ai Data Annotation jobs near you
Infographic showing various Full Time Ai Data Annotation job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Director, Research - Human Data Systems

Snorkel AI

San Francisco, CA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Snorkel AI is a company on a mission to transform expert knowledge into specialized AI at scale, emerging from the Stanford AI Lab. They are seeking a Director of Research to lead a team focused on developing human-in-the-loop systems and innovative data-centric methods that enhance AI performance.
Responsibilities:
• Team Building & Leadership: Recruit for and lead a team of applied researchers, setting the team’s culture and setting a high standard for quality and velocity
• The Research-to-Product Bridge: Act as the primary link between Research, Product, and Engineering. You will oversee the development of experimental POCs to improve workflow efficiencies and ensure these innovations are successfully hardened and integrated into the platform
• Strategic Roadmapping: Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or specialized model alignment) and pivot the team to develop the programmatic solutions that address them
• Operational Excellence: Partner with the Operations team to validate research-driven workflows in real-world production environments, ensuring they scale across diverse and complex domain-specific tasks.
Qualifications:
Required:
• 5+ years of experience in applied AI, research or machine learning roles, with at least 4+ years of experience managing technical teams
• A player coach who is willing to be hands-on with coding and research
• A proven track record of thriving in fast-paced, ambiguous environments, comfortable managing competing priorities across cross-functional stakeholders
• Enjoys solving real-world problems in the data space and bridging research and production
• Strong, practical experience working with LLMs, agentic workflow
Preferred:
• Experience with data annotation workflows and/or building internal tooling for them
Company:
Snorkel AI is the frontier AI data lab, building the data and environments behind advanced AI systems. Founded in 2019, the company is headquartered in Redwood City, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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