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Data Annotation Jobs in Sunnyvale, CA (NOW HIRING)

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Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine ...

Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine ...

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San Francisco, CA · On-site

$150K - $300K/yr (+ commission)

Own data annotation projects end-to-end, translating complex AI/ML requirements into clear workflows and instructions for annotation teams * Design and refine annotation processes, audit results, and ...

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Data Annotation information

What is a data annotation?

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 does a data annotation do?

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.

What are the key skills and qualifications needed to thrive in data annotation?

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.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Sunnyvale, CA?

The most popular types of Data Annotation jobs in Sunnyvale, CA are:

What are popular job titles related to Data Annotation jobs in Sunnyvale, CA?

For Data Annotation jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Data Annotation jobs in Sunnyvale, CA look for?

The top searched job categories for Data Annotation jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Data Annotation jobs?

Cities near Sunnyvale, CA with the most Data Annotation job openings:

Infographic showing various Data Annotation job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Video Data Annotator

iMerit

San Jose, CA • Remote

$35/hr

Contractor

Posted 22 days ago

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Job description

Video Data Annotator

Role Type: Contractor

Location: Remote (US Only)


iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Annotate and review robotics-related video footage using detailed guidelines provided for each assignment.
  2. Assess and score video clips for data quality, relevance, and accuracy based on a predefined scoring guide.
  3. Identify and label specific actions, objects, or events within video data, ensuring comprehensive and precise annotation.
  4. Collaborate with the iMerit project team to clarify annotation standards and resolve ambiguities in the scoring process.
  5. Document annotation decisions and provide feedback on the clarity and effectiveness of guidelines.
  6. Perform ongoing quality assurance checks to verify that annotations adhere to project requirements and deliverables.
  7. Deliver annotations and evaluations consistently and within set project timeframes.


Preferred Qualifications

  1. Mid-level experience with video data annotation across various platforms or projects.
  2. Demonstrated attention to detail and commitment to producing high-quality, accurate annotations.
  3. Strong written and verbal communication skills, with the ability to document findings and interact with team members remotely.
  4. Previous experience with robotics footage or robotics-related annotation tasks (heavily preferred).
  5. Ability to interpret and apply complex annotation guidelines and scoring rubrics.
  6. Familiarity with AI review processes or quality assurance in data annotation projects.
  7. Proactive approach to problem-solving and a self-motivated work style in a remote engagement setting.

Company Description

iMerit, an EXL Company, is a global leader in AI data solutions, trusted by the world's most innovative organizations to power mission-critical AI initiatives. Our platforms and domain expertise support companies to build accurate, reliable, and scalable AI solutions.