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Data Annotation For Ai Jobs in California (NOW HIRING)

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI is built on the mission to be the world's most trusted data partner for AI companies ... annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission ... Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline ...

Cerebras

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255 - $325/hr

For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission ... Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline ...

Meta

Product Data Operations Program Manager

Menlo Park, CA · On-site +1

$103K/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 operations ...

New

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in California

Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
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Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Solutions Engineer

Abaka AI

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Abaka AI is built on the mission to be the world’s most trusted data partner for AI companies, supporting global partners with scalable data solutions. The Data Solutions Engineer will bridge technical execution and customer needs across AI data projects, working closely with clients and various teams to design scalable data workflows and support project execution.
Responsibilities:
• Partner with clients and internal stakeholders to understand project requirements and define scalable data workflows
• Translate customer needs into operational plans, technical specifications, and execution strategies
• Support AI data projects across image, video, audio, text, reasoning, and multimodal domains
• Troubleshoot dataset quality issues and identify workflow improvements
• Collaborate cross-functionally with Project Management, Operations, Research, GTM, and Engineering teams
• Assist with dataset reviews, QA processes, delivery validation, and project health tracking
• Build or improve lightweight internal tooling, automations, and operational systems
• Support presales conversations by helping scope project feasibility, timelines, and technical requirements
• Develop a strong understanding of frontier AI workflows, benchmarks, and model development needs
• Contribute to internal documentation, process standardization, and operational scalability
Qualifications:
Required:
• 1–4 years of experience in Solutions Engineering, Data Operations, Technical Program Management, Analytics, Consulting, AI Operations, or related fields
• Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders
• Highly organized with strong problem-solving abilities and attention to detail
• Comfortable operating in fast-paced startup environments with evolving priorities
• Interest in AI, machine learning, multimodal systems, or data infrastructure
Preferred:
• Familiarity with SQL, Python, scripting, APIs, spreadsheets, or workflow automation tools is a plus
• Experience working cross-functionally with technical and operational teams preferred
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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