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Full Time Data Annotation Jobs in California (NOW HIRING)

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may ...

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ... Compensation The US base salary range for this full-time position is between $150,000 - $250,000 ...

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All JobsFull Time Data Annotation JobsFull Time Data Annotation Jobs in California

Full Time Data Annotation information

Can I use ChatGPT for data annotation?

Full Time Data Annotation roles typically require manual labeling of data to ensure accuracy, as AI tools like ChatGPT can assist but are not sufficient alone for high-quality annotation. Using ChatGPT can help generate initial labels or suggestions, but human oversight is essential to verify correctness and handle complex cases. Familiarity with annotation tools and guidelines is also important for this role.

How much does data annotation actually pay?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Many positions are freelance or part-time, often requiring basic computer skills and attention to detail. Pay rates can vary based on experience, tools used, and the platform offering the work.

Are data annotations still hiring?

Data annotation jobs are still available as companies continue to expand their AI and machine learning projects. These roles often require attention to detail and familiarity with annotation tools, and they are frequently offered as remote or flexible positions. Job availability can vary based on industry demand and company needs.

What is the difference between Full Time Data Annotation vs Data Labeling Specialist?

AspectFull Time Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma; training in labeling tools often provided
Work EnvironmentOffice or remote; part of a larger data teamPrimarily remote or on-site; focused on labeling tasks
Industry UsageTech, AI, autonomous vehicles, healthcareAI, machine learning, computer vision projects
Search & Comparison IntentUnderstanding full-time roles in data annotationLooking for specialized labeling positions

Full Time Data Annotation involves comprehensive responsibilities within a team, often requiring a broader understanding of data processes. Data Labeling Specialists focus specifically on labeling data accurately for AI and machine learning models. Both roles are essential in AI development, but Full Time Data Annotation roles typically encompass more tasks and collaboration, whereas Data Labeling Specialists concentrate on precise data tagging.

Is it hard to get hired for data annotation?

Getting hired for a full-time data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. The hiring process is often straightforward, with many companies offering remote positions and minimal formal requirements, making entry relatively accessible for beginners.
What are the most commonly searched types of Data Annotation jobs in California? The most popular types of Data Annotation jobs in California are:
What are popular job titles related to Full Time Data Annotation jobs in California? For Full Time Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Full Time Data Annotation jobs in California look for? The top searched job categories for Full Time Data Annotation jobs in California are:
What cities in California are hiring for Full Time Data Annotation jobs? Cities in California with the most Full Time Data Annotation job openings:
Full Time Data Annotation 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

Redwood City, CA

$142K/yr

Full-time

Posted 3 days ago

Be an early applicant

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.
 
To know more details (Click here)
 
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.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.