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Data Annotation Tech Jobs in Berkeley, CA (NOW HIRING)

RLink Solutions

Operations Manager

San Francisco, CA · On-site

... technology, and AI development. The successful candidate will play a key role in testing new ... S. (no hard requirements on area of study) -2 years of data collection or data annotation, or ...

New

Heartflow

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery ... Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ...

INSPYR Solutions

Project Coordinator IV

Menlo Park, CA · On-site

$40 - $60/hr

... technologies, and domains quickly; adapts to changing technical requirements Effective critical ... Data Annotation/Labeling skills, LLM training amongst product quality teams Preferred ...

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All JobsData Annotation Tech JobsData Annotation Tech Jobs in Berkeley, CA

Data Annotation Tech information

See Berkeley, CA salary details

$15

$27

$42

How much do data annotation tech jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data annotation tech in Berkeley, CA is $27.97, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $33.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Annotation Tech position, and why are they important?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

Is data annotation real or fake?

Data annotation is a legitimate job involving labeling data such as images, text, or audio to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand their AI and machine learning projects. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Job availability can vary by industry and region but generally remains steady due to ongoing AI development needs.

How much does data annotation tech pay?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level roles may pay closer to minimum wage, while experienced workers or those with specialized skills can earn higher wages. Some positions offer freelance or remote work with flexible pay rates.

Does data annotation really pay you?

Data annotation jobs typically pay hourly or per task, with rates varying based on the platform, complexity of the work, and experience. Many companies and platforms offer remote work opportunities, and pay can range from minimum wage to higher rates for specialized skills or faster completion times.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What are popular job titles related to Data Annotation Tech jobs in Berkeley, CA? For Data Annotation Tech jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Berkeley, CA look for? The top searched job categories for Data Annotation Tech jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Data Annotation Tech jobs? Cities near Berkeley, CA with the most Data Annotation Tech job openings:
Data Annotation Tech jobs near you
Operations Manager

Operations Manager

ICON Consultants, LP

San Francisco, CA

$35/hr

Other

Posted 2 days ago

Job description

Operations Manager – Physical AI Field Data Collection (Contract)

Pay: $35.00/hour

Job Type: Contract

Contract Length: 5 months

Contract End Date: December 2026

Job Summary

We are seeking a highly organized and execution-oriented Operations Manager to support a growing Physical AI team as it expands global field data collection capabilities. This role will help design and operationalize new programs, develop scalable playbooks, and support the execution of pilots that enable high-quality data collection in real-world environments. The ideal candidate thrives in ambiguity, enjoys building processes from the ground up, and is comfortable coordinating across a diverse set of stakeholders. This is a unique opportunity to help shape a growing function at the intersection of operations, technology, and AI development.

Responsibilities

  • Design and document operational playbooks, standard operating procedures (SOPs), and pilot execution frameworks
  • Support end-to-end planning and execution of field data collection pilots across multiple markets
  • Partner cross-functionally with teams across Operations, Product, Engineering, Supply, Legal, Policy, Sales, and regional stakeholders to drive alignment and unblock execution
  • Establish pilot processes, workflows, success metrics, and reporting mechanisms
  • Identify operational risks, dependencies, and process gaps, and propose solutions and mitigation plans
  • Collect, synthesize, and communicate pilot learnings, recommendations, and next steps
  • Build project plans, manage timelines, track milestones, and ensure key deliverables are completed
  • Support experimentation efforts by developing scalable operational models and testing new approaches
  • Analyze operational performance data and provide insights to improve program effectiveness and efficiency
  • Create executive-ready updates, documentation, and recommendations for leadership review
  • Travel to pilot locations as needed to support field operations, observe workflows, and partner with local stakeholders during planning and execution

Top 3 Responsibilities

  • Design and operationalize scalable playbooks and SOPs for global field data collection
  • Manage end-to-end execution of pilot programs across multiple markets
  • Drive cross-functional alignment to support execution and mitigate operational risks

Required Qualifications

  • Bachelor’s degree (B.A. or B.S.) in any field
  • 2+ years of experience in data collection, data annotation, or a related field (internships included)
  • Strong communication skills
  • Strong documentation skills, including the ability to create clear and digestible project plans
  • Proficiency in GSuite / Google Workspace
  • Professional working proficiency in English
  • Ability to work effectively in ambiguous environments while challenging assumptions and driving execution

Preferred Qualifications

  • Experience with in-field data collection
  • Interest in and passion for AI, AI solutions, and emerging technologies
  • Passion for operational excellence and process-building

Why Join This Opportunity

This role offers the chance to contribute to a growing operational function supporting cutting-edge AI development. You will play an important role in building scalable frameworks, testing new operating models, and helping create the foundation for high-quality field data collection worldwide.

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