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Urgently Hiring Data Annotation Tech Jobs in California

Arthur Lawrence

Data Annotator

San Francisco, CA · On-site

Hands-on experience with HD mapping/data annotation, particularly in autonomous driving, using ... Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business ...

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Urgently Hiring Data Annotation Tech information

What is a data annotation tech?

A Data Annotation Tech is a professional responsible for labeling and categorizing data, such as images, text, or audio, to train artificial intelligence (AI) and machine learning models. Their work ensures that AI systems can accurately recognize patterns and make predictions by providing well-organized, high-quality datasets. Data Annotation Techs may use specialized software tools to tag objects in images, transcribe audio, or classify text according to specific guidelines. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing.

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

To thrive as a Data Annotation Technician, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes knowledge of data labeling guidelines, is typically required. Precision, time management, and the ability to follow instructions closely are key soft skills that set top performers apart. These competencies ensure high-quality, accurate data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by data annotation technicians and how can they be managed?

Data Annotation Technicians often encounter challenges such as maintaining consistent accuracy when labeling large datasets, handling ambiguous or complex data, and meeting tight project deadlines. To manage these challenges, it is important to follow clear annotation guidelines, regularly communicate with project leads for clarification, and utilize quality assurance processes like peer reviews. Additionally, staying organized and breaking tasks into manageable segments can help technicians remain productive while maintaining high-quality work.

What is the difference between Urgently Hiring Data Annotation Tech vs Data Labeling Specialist?

AspectUrgently Hiring Data Annotation TechData Labeling Specialist
CredentialsBasic technical skills, training in annotation toolsSimilar technical skills, often with industry-specific knowledge
Work EnvironmentFast-paced, project-based, often remoteSimilar, with focus on precise labeling tasks
Industry UsageCommon in AI/ML development companiesUsed across AI, autonomous vehicles, healthcare sectors
Search & Comparison IntentHigh overlap, both involve data annotation tasksOften used interchangeably, but 'Data Labeling Specialist' may imply more experience or specialization

While both roles involve data annotation and labeling, the 'Urgently Hiring Data Annotation Tech' typically refers to entry-level or technical staff needed quickly for annotation projects, often in fast-paced environments. The 'Data Labeling Specialist' may denote a more experienced or specialized role, but both share similar skills and industry usage.

How to get hired for data annotation?

To get hired as a data annotation technician, build skills in attention to detail and familiarity with annotation tools like Labelbox or CVAT. Create a strong resume highlighting relevant experience, and apply to companies that outsource data labeling tasks, often offering flexible schedules and remote work options.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they can be available on flexible or remote schedules. The hiring trend remains steady in the industry due to ongoing AI development needs.

Is data annotation tech hard to get into?

Data annotation technician roles typically require attention to detail and basic computer skills; prior experience or certifications are not always necessary. Many positions are entry-level and offer on-the-job training, making it accessible for beginners. Familiarity with annotation tools and understanding of data labeling standards can improve job prospects.

What are the most commonly searched types of Data Annotation Tech jobs in California?

The most popular types of Data Annotation Tech jobs in California are:

What are popular job titles related to Urgently Hiring Data Annotation Tech jobs in California?

For Urgently Hiring Data Annotation Tech jobs in California, the most frequently searched job titles are:

What job categories do people searching Urgently Hiring Data Annotation Tech jobs in California look for?

The top searched job categories for Urgently Hiring Data Annotation Tech jobs in California are:

What cities in California are hiring for Urgently Hiring Data Annotation Tech jobs?

Cities in California with the most Urgently Hiring Data Annotation Tech job openings:

Urgently Hiring Data Annotation Tech jobs near you
Infographic showing various Urgently Hiring Data Annotation Tech job openings in California as of June 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Temporary. Highlights an 100% Physical job distribution.

Operations & Data Annotation Specialist

Cupertino, CA • On-site

Avanciers Inc.
See more jobs at Avanciers Inc.external

Other

Posted 4 days ago

Job description

Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a Contract role for one of our premier client in USA for Operations & Data Annotation Specialist


Role: Operations & Data Annotation Specialist

Location: Los Angeles, CA / San Diego, CA / Cupertino, CA


Position Summary

The Operations & Data Annotation Specialist will support data annotation and validation workflows by assisting with QA audits, annotation tool configuration, task tracking, test-plan execution, and operational reporting. The role requires strong attention to detail, process compliance, and coordination with cross-functional teams.

Key Responsibilities

  • Support data annotation and validation operations according to defined processes and guidelines.
  • Perform QA audits and review annotation quality for accuracy and consistency.
  • Configure and maintain annotation tools and task workflows.
  • Track annotation tasks, priorities, issues, and completion status.
  • Support test-plan execution and document results, defects, and observations.
  • Prepare operational and quality reports for project stakeholders.
  • Identify process gaps and escalate quality or operational issues.
  • Coordinate with data, QA, engineering, and operations teams to resolve workflow issues.
  • Maintain accurate documentation and ensure compliance with established procedures.

Required Qualifications

  • 2–3 years of experience in data annotation, QA operations, data operations, or a related field.
  • Experience working with annotation or data-labeling tools.
  • Understanding of QA audits, task tracking, and quality processes.
  • Experience supporting test plans and operational reporting.
  • Strong attention to detail and analytical skills.
  • Good communication and stakeholder coordination skills.
  • Ability to work onsite and manage multiple operational priorities.

Apply