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Data Annotation Jobs in San Ramon, CA (NOW HIRING)

Cartesia

Human Data Operations Manager

San Francisco, CA · On-site

$160K - $190K/yr

Own relationships with vendors such as data annotation firms and contractor platforms, negotiating rate cards, SLAs, and throughput guarantees * Decide on build, buy, or hybrid workforce models and ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and product teams to understand and formalize their requirements. * Identify and manage internal resources and ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.

itD Tech

Data Engineer III (6193)

Menlo Park, CA

$35 - $39/hr

Design and operate LLM-assisted annotation workflows that automate data labeling while measuring and improving annotation quality. * Develop reusable frameworks, tooling, and pipeline components that ...

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Data Annotation information

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It typically requires attention to detail and familiarity with annotation tools, and many companies hire remote workers for this role. The job is often part-time or freelance, with varying pay rates depending on complexity and volume of work.
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Data Annotation jobs near you
Infographic showing various Data Annotation job openings in San Ramon, CA as of May 2026, with employment types broken down into 63% Full Time, 15% Part Time, and 22% Contract. Highlights an 86% In-person, and 14% Remote job distribution.
Project Perseus | Data Quality Analyst - Arabic Speakers (Human-in-the-Loop AI)

Project Perseus | Data Quality Analyst - Arabic Speakers (Human-in-the-Loop AI)

Welo Data

Burlingame, CA • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role bridges Data Labeling Associates and Team Leads to ensure work is completed accurately and efficiently, involving auditing outputs and supporting day-to-day execution.
Responsibilities:
• Support quality and execution across DLA teams, ensuring work meets defined standards at scale
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
• Act as the first line of support for DLAs — answering questions and helping interpret guidelines
• Help DLAs navigate ambiguity and apply evolving instructions effectively
• Support onboarding and training of new DLAs through hands-on guidance and coaching
• Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
• Identify patterns, recurring issues, and edge cases in both human and model outputs
• Participate in calibrations, team discussions, and stakeholder syncs
• Contribute to improving guidelines, processes, and overall team performance
• Document findings and feedback in a clear, concise, and actionable way
Qualifications:
Required:
• Native-level language proficiency and a university degree (Bachelor’s or higher).
• B2 or superior level of English.
• 2–4 years of experience in data annotation, content quality, QA, or related fields.
• Strong ability to interpret and apply complex guidelines with consistency.
• Excellent attention to detail with a high bar for quality.
• Ability to stay consistent while working with evolving guidelines and priorities.
• Experience in AI/ML data workflows or human-in-the-loop evaluation environments.
• Prior experience auditing or reviewing the work of others.
• Familiarity with safety, compliance, or policy-driven content evaluation.
• Must be authorized to work in the U.S. (no visa sponsorship).
• This is a 100% onsite position — remote work is not available for this role.
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

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