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Data Annotation Ai Trainer Jobs in California (NOW HIRING)

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... training, fine-tuning, or evaluation datasets. Company : Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets.

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... training, fine-tuning, or evaluation datasets. Company : Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets.

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... training, fine-tuning, or evaluation datasets. Company : Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets.

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Sunday

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

... AI labs/data vendors • Technical skills to build tools for data annotation or collection • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... data processing, training, evaluation, and deployment into real-world and real-time systems. • ... annotation, QA workflows, dataset management, augmentation, and versioning. • Implement ...

Meta

Product Data Operations Program Manager

Menlo Park, CA · On-site

$103K - $155K/yr

... for AI solutions • Identify and resolve bottlenecks in data labeling, annotation, and curation workflows to ensure timely delivery of high-quality training datasets • Analyze complex data ...

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All JobsData Annotation Ai Trainer JobsData Annotation Ai Trainer Jobs in California

Data Annotation Ai Trainer information

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions may pay closer to minimum wage, while experienced trainers with specialized skills can earn higher wages, especially when working on large datasets or with advanced annotation tools.

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive as a data annotation AI trainer?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by technology companies and AI service providers. However, job seekers should verify the employer's credibility to avoid scams.
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Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Operations Engineer

Abaka AI

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Abaka AI is dedicated to being the world's most trusted data partner for AI companies, supporting over 1,000 industry leaders with scalable data solutions. The Data Operations Engineer will manage the internal dataset library and collaborate with various teams to ensure efficient access to data and maintain dataset quality.
Responsibilities:
• Develop and maintain a comprehensive understanding of Abaka AI’s dataset library, including data structure, quality, and applicable use cases across modalities (text, image, video, audio, 3D).
• Serve as the internal point of contact for dataset-related inquiries, providing clear and timely responses to questions from engineering, product, and business teams.
• Translate ambiguous or high-level requests into concrete dataset solutions, identifying appropriate data sources or gaps.
• Inspect and validate datasets for quality, completeness, and consistency using SQL, Python, or other tools as needed.
• Coordinate with global data teams, including teams in China, to resolve data issues, clarify requirements, and ensure timely delivery without unnecessary escalation.
• Maintain and improve internal documentation, organization, and accessibility of datasets.
• Identify inefficiencies in current workflows and propose improvements to systems, tooling, and processes that support dataset management and usage.
• Support cross-functional initiatives by providing dataset insights, technical context, and operational guidance.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
• 1–4 years of experience in data operations, data engineering, or a related role involving direct interaction with datasets.
• Professional proficiency in Mandarin Chinese and English is required, as this role involves frequent collaboration with China-based vendors and external partners.
• Strong problem-solving skills and ability to operate effectively in ambiguous, fast-paced environments.
• Proficiency in SQL and/or Python for data inspection, validation, and basic analysis.
• Experience working with real-world datasets, including handling data quality issues, inconsistencies, and edge cases.
• Strong communication skills, with the ability to work across technical and non-technical teams.
• High level of ownership and accountability, with the ability to manage multiple requests and priorities simultaneously.
Preferred:
• Experience with multimodal datasets (text, image, video, audio, or 3D).
• Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning.
• Experience working with international teams, particularly in cross-border environments.
• Exposure to AI/ML workflows, including training, fine-tuning, or evaluation datasets.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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