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Data Annotation Tech Jobs in California (NOW HIRING)

campus4tech

Technical Program Manager III

Mountain View, CA · On-site

$152.20K - $197K/yr

Strong understanding of ML development workflows, data pipelines, and annotation lifecycle ... Preferred good working knowledge of GPU technology and its applications in generative AI and ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

... annotation pipelines. Preferred Qualifications: * Understanding of ML data pipelines and their applications. * Experience working with LLMs. * Familiarity with data labeling for audio technologies ...

Voxelcloud

Chief Technology Officer

Los Angeles, CA

As Voxelcloud's technology moves from early development and validation into full productization ... Optimize annotation data quality and label consistency for R&D in a cost-efficient way. o Work with ...

Voxelcloud

Chief Technology Officer

Los Angeles, CA · On-site

As Voxelcloud's technology moves from early development and validation into full productization ... Optimize annotation data quality and label consistency for R&D in a cost-efficient way. o Work with ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

... team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain ... Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline ...

itD Tech

Project Coordinator IV

San Jose, CA · On-site

Support labeling initiatives, data annotation processes, and LLM training workflows to improve ... Prior experience supporting large-scale technology organizations or enterprise environments.

itD Tech

Project Coordinator IV

San Jose, CA · On-site

Support labeling initiatives, data annotation processes, and LLM training workflows to improve ... Prior experience supporting large-scale technology organizations or enterprise environments.

Turing

Strategic Project Lead - Audio

San Francisco, CA

$200K - $250K/yr

... data annotation * Familiarity with frontier AI lab workflows: model evaluation, RLHF, alignment, benchmarking. Knowledge of the latest multimodal AI technologies and how they can improve annotation ...

Apple

Sr. Software Engineer - Data, Siri Speech

Cupertino, CA · On-site

$141.30K - $169.60K/yr

To build the best speech recognition and generation models, we need to use the latest technology in ... data annotation that runs on a self-serve platform- Deploy and implement LLM-based chatbots to make ...

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How much do data annotation tech jobs pay per hour?

As of May 30, 2026, the average hourly pay for data annotation tech in California is $22.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $26.83 per hour, depending on experience, location, and employer.

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 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 legit or not?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of AI development projects, making it a valid employment option.
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Data Annotation Tech jobs near you
Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Welo Data

Santa Clara, CA

$136.80K/yr

Full-time

Posted 17 days ago

Job description

About the Role

We are looking for highly detail-oriented Generative AI Analysts to join our team onsite in San Jose, California. In this role, you will contribute to the development of cutting-edge AI technologies by supporting the annotation, evaluation, and quality review of multilingual and multimodal datasets used to train generative AI systems.

This position is ideal for candidates passionate about AI, language, data quality, and emerging technologies, with strong analytical skills and native-level Chinese proficiency.

What You’ll Do
  • Perform annotation and labeling tasks for Chinese generative AI datasets, including text, image, video, audio, and multimodal content
  • Review and evaluate AI-generated prompts and responses across a variety of topics and use cases
  • Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines
  • Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
  • Support data categorization, tagging, evaluation, and content review workflows for machine learning systems
  • Assist in the creation and refinement of annotation guidelines and evaluation frameworks
  • Collaborate with cross-functional teams to improve operational processes and annotation quality
  • Provide feedback on tools, workflows, and annotation methodologies
Requirements
  • Native-level proficiency in Chinese and strong English communication skills (written and verbal)
  • Excellent attention to detail and ability to follow complex guidelines and processes
  • Strong interest in generative AI, machine learning, and emerging technologies
  • Previous experience in data annotation, content review, quality assurance, or labeling operations is preferred
  • Bachelor’s degree or equivalent practical experience
  • Experience or academic background in Finance, STEM, Legal, Medical, Coding, or other specialized fields is highly valued.
  • Ability to work onsite full-time in San Jose, CA
Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
  • Experience evaluating prompts, responses, images, videos, or AI training datasets
  • QA/testing experience within AI, data operations, or content moderation environments
  • Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
  • Python or scripting knowledge
  • Additional language proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, French, etc.)
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.