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Internship Data Annotation Analyst Jobs in California

Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$132.10 - $165.10/hr

Analyze large‑scale 2D/3D annotation datasets to identify data gaps, quality issues, coverage ... gaps, and inefficiencies impacting Perception and ML training. * Utilize dashboards and reports to ...

Arthur Lawrence

Data Annotator

San Francisco, CA · On-site

Hands-on experience with HD mapping/data annotation, particularly in autonomous driving, using ... Strong data management and analysis skills with the ability to adapt to different geographic ...

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

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Internship Data Annotation Analyst information

What is the difference between Internship Data Annotation Analyst vs Data Labeling Specialist?

AspectInternship Data Annotation AnalystData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience preferred
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation companies
Industry UsageCommon in AI, machine learning, and tech industriesUsed across AI, autonomous vehicles, and healthcare sectors

The Internship Data Annotation Analyst is usually an entry-level role for students or recent graduates gaining experience in data annotation. In contrast, Data Labeling Specialists are more experienced professionals focused on accurately labeling data for AI models. Both roles are essential in AI development, but the internship provides learning opportunities, while the specialist role involves more independent work and expertise.

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

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

Internship Data Annotation Analyst jobs near you

Operations & Data Annotation Specialist

Avanciers Inc.

Cupertino, CA • On-site

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.

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