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Contract Data Annotation Jobs in California (NOW HIRING)

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

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Contract Data Annotation information

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
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 cities in California are hiring for Contract Data Annotation jobs? Cities in California with the most Contract Data Annotation job openings:
Infographic showing various Contract Data Annotation job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Remote AI Analyst

Remote AI Analyst

Turing

San Francisco, CA • Remote

Other

Posted 3 days ago


Job description

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project. Open to recent graduates, professionals, and anyone interested in AI. If you actively use Google Wallet, you may already qualify for this exciting paid opportunity. No specialized technical background is required—just your everyday experience, attention to detail, and willingness to work with advanced AI tools. Earn while helping shape the future of AI.


About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality.


Role Overview :

Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet evaluation project. This is a Generalist role and do not require candidates from any specific background. In this role, you will interact with Gemini models, execute evaluation workflows, review model responses, and document findings using Google Sheets.


Duration of Contract - 10 weeks

Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap


What You'll Do Day-to-Day :

- Evaluate Gemini model responses by submitting prompts and assessing output quality, accuracy, and relevance.

- Review and document evaluation results, ratings, and observations using Google Sheets.

- Participate in Google Wallet-related testing scenarios and provide structured feedback on user experiences.

- Follow project guidelines and quality standards to support AI model improvement and evaluation objectives.


Requirements :

- Must be based in the United States and actively use Google Wallet.

- Must have at least one linked payment method (credit card, debit card, or bank account) and a minimum of 5 passes stored in Google Wallet.

- Must have a Plaid account or be willing to connect a bank account through Plaid for project participation.

- Must be comfortable using Google Wallet, linked payment methods, and Plaid connectivity as part of evaluation activities.

- Strong attention to detail, analytical thinking, and ability to follow structured guidelines.

- Experience with Google Sheets and familiarity with Gemini or other generative AI tools is preferred.

- Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.