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Data Labeler Jobs in California (NOW HIRING)

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$152K - $196K/yr

Preferred : • Understanding of ML data pipelines and their applications. • Experience working with LLMs. • Familiarity with data labeling for audio technologies, such as speech recognition and ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

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How much do data labeler jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data labeler in California is $13.78, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $15.19 per hour, depending on experience, location, and employer.

What is a data labeler?

A Data Labeler is responsible for annotating and categorizing data, such as images, text, audio, or video, to train machine learning models. This involves tasks like adding tags, marking objects, or verifying data accuracy based on specific guidelines. Their work is essential for improving AI models in areas like speech recognition, computer vision, and natural language processing. Attention to detail and accuracy are crucial in this role.

What does a data labeler do?

As a Data Labeler, your day typically involves reviewing, categorizing, and annotating large volumes of data such as images, text, or audio according to set guidelines. You’ll often work independently but may participate in regular team check-ins to discuss project updates, clarify instructions, or resolve ambiguous cases. Collaboration with data scientists or project managers is common when feedback or clarification is needed, ensuring consistency and quality across the labeled dataset. Over time, high-performing data labelers may transition into roles such as quality assurance reviewer or team lead. The work is detail-oriented and repetitive but is essential in powering reliable artificial intelligence and machine learning applications.

What skills and qualifications are needed to be a data labeler?

To thrive as a Data Labeler, you need strong attention to detail, proficiency in data entry, and a basic understanding of computer operations, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, or specific data management software is valuable and may be required for some roles. Effective time management, patience, and the ability to follow detailed instructions are standout soft skills in this position. These skills ensure the accurate and efficient preparation of high-quality datasets, which are crucial for training reliable machine learning models.

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

The most popular types of Data Labeler jobs in California are:

What are popular job titles related to Data Labeler jobs in California?

For Data Labeler jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Labeler jobs in California look for?

The top searched job categories for Data Labeler jobs in California are:

What cities in California are hiring for Data Labeler jobs?

Cities in California with the most Data Labeler job openings:

Data Labeler jobs near you
Infographic showing various Data Labeler job openings in California as of August 2026, with employment types broken down into 9% Internship, 64% Full Time, 9% Part Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $28,672 per year, or $13.8 per hour.

Technical Program Manager, Data

Sesame

San Francisco, CA • On-site

$152K - $196K/yr

Full-time

This job post has expired 5 days ago. Applications are no longer accepted.

Job description

Job Summary:
Sesame is a company focused on creating lifelike computers that can interact naturally with humans. They are seeking a Senior Technical Program Manager to lead their data collection and annotation initiatives, ensuring the delivery of high-quality data while collaborating with research and product teams.
Responsibilities:
• Lead audio data collection and annotation efforts at Sesame.
• Collaborate with research and product teams to understand and formalize their requirements.
• Identify and manage internal resources and/or external vendors to complete data tasks.
• Ensure the delivery of high-quality work.
• Work closely with tooling engineers to support data-related tasks.
• Oversee data acquisition processes.
Qualifications:
Required:
• Bachelor’s degree in Computer Science or a related field.
• 5+ years of experience working with machine learning researchers and engineers.
• Proven experience leading data labeling projects.
• Experience managing full-time employees or contractors involved in data labeling.
• Expertise in writing technical specifications for data annotation pipelines.
Preferred:
• Understanding of ML data pipelines and their applications.
• Experience working with LLMs.
• Familiarity with data labeling for audio technologies, such as speech recognition and speech synthesis.
Company:
Sesame is a voice tech startup focused on developing AI voice assistants that create natural and emotionally resonant conversations. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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