ZipRecruiter

Log In

2

Data Annotation No Experience Needed Jobs in California

Aerotek

Assembler - No Experience Needed

Irvine, CA

$19 - $21/hr

Work long hours as needed, including 10-hour days and up to 6 days per week, while maintaining ... Highly desired experience in a cleanroom or manufacturing environment. Additional Skills ...

MCP Services

Be Seen First

Production Associate - No Experience Needed

Corona, CA · On-site

$19 - $20/hr

First Job? We're Hiring Production Associates - No Experience Needed! Direct hire opportunity. Corona, CA | Full-Time | 1st and 2nd Shifts Available - No Weekends Required Are you someone who enjoys ...

Sieve

Data Operations Lead

San Francisco, CA · On-site

... • Experience managing human-in-the-loop data operations or annotation pipelines • At least 1 year of engineering experience or strong technical fluency • Experience as an early hire at a ...

next page

Showing results 1-20

All JobsData Annotation Needed JobsData Annotation No Experience Needed JobsData Annotation No Experience Needed Jobs in California

Data Annotation No Experience Needed information

What is data annotation?

Data annotation is the process of labeling or tagging data, such as images, text, or audio, to help train artificial intelligence and machine learning models. Many data annotation jobs require little to no prior experience, as employers often provide training on the specific tools and guidelines needed for the work. These jobs are ideal for beginners looking to enter the tech field, as they typically require attention to detail and basic computer skills. With consistent work, data annotators can build valuable experience for more advanced roles in data science and AI.

What does a typical workday look like for someone starting out in data annotation with no prior experience?

For those new to data annotation, a typical workday involves reviewing and labeling large sets of data—such as images, audio, or text—according to specific guidelines provided by the employer or client. You’ll likely work as part of a remote or distributed team, using specialized software tools to complete your tasks. While the work is often independent, you may participate in occasional team meetings or training sessions to clarify guidelines and improve accuracy. Consistency and attention to detail are crucial, and feedback from supervisors will help you refine your skills. Over time, demonstrating accuracy and reliability can open opportunities for more complex projects or advancement within the team.

What are the key skills and qualifications needed to thrive as a data annotation specialist with no prior experience?

To thrive as a Data Annotation specialist with no prior experience, attention to detail, basic computer literacy, and the ability to follow guidelines are essential. Familiarity with annotation tools or platforms (such as Labelbox or SuperAnnotate) and basic understanding of data privacy protocols are often required. Strong organizational skills, patience, and clear communication help individuals excel in repetitive tasks and collaborate with team members or project leads. These skills and qualities are critical for maintaining high data quality and ensuring annotated datasets are accurate for downstream machine learning applications.

What is the difference between Data Annotation No Experience Needed vs Data Labeler?

AspectData Annotation No Experience NeededData Labeler
Required CredentialsNo prior experience or certifications typically requiredOften similar, minimal credentials needed
Work EnvironmentRemote or office-based, flexible hoursPrimarily remote, task-based work
Industry UsageCommon in AI, machine learning, and data processing companiesUsed in AI, autonomous vehicles, and tech sectors
Search & Comparison IntentPeople seeking entry-level data annotation rolesIndividuals comparing entry-level data labeling jobs

Data Annotation No Experience Needed and Data Labeler roles are similar, both requiring minimal or no prior experience. They are commonly found in AI and machine learning industries, often offering remote work. The main difference lies in terminology; 'Data Labeler' is a more specific job title within data annotation tasks. Both roles are suitable for beginners looking to start a career in data processing and AI training.

What are popular job titles related to Data Annotation No Experience Needed jobs in California?

For Data Annotation No Experience Needed jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Annotation No Experience Needed jobs in California look for?

The top searched job categories for Data Annotation No Experience Needed jobs in California are:

What cities in California are hiring for Data Annotation No Experience Needed jobs?

Cities in California with the most Data Annotation No Experience Needed job openings:

Data Annotation No Experience Needed jobs near you
Infographic showing various Data Annotation No Experience Needed job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Operations & Data Annotation Specialist

Avanciers Inc.

Cupertino, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

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