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Full Time Data Annotation Tech Jobs in Sunnyvale, CA

Encord

Strategic Projects Lead

San Francisco, CA · On-site

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

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 ... Experience managing full-time employees or contractors involved in data labeling. * Expertise in ...

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Full Time Data Annotation Tech information

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$14

$26

$40

How much do full time data annotation tech jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for full time data annotation tech in Sunnyvale, CA is $26.81, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $31.88 per hour, depending on experience, location, and employer.

What is a full time data annotation tech?

Full Time Data Annotation Techs are professionals responsible for labeling and categorizing data used to train machine learning models. They examine various types of data, such as images, text, or audio, and apply specific tags or annotations according to project guidelines. Their work is essential in ensuring the accuracy of artificial intelligence systems by providing high-quality, structured datasets. Full-time positions typically involve working standard business hours and may require familiarity with specialized annotation tools and attention to detail.

What are the key skills and qualifications needed to thrive as a full time data annotation tech?

To thrive as a Full Time Data Annotation Tech, you need strong attention to detail, basic data management skills, and familiarity with data labeling practices, typically supported by a high school diploma or equivalent. Experience with annotation tools (such as Labelbox, Supervisely, or similar platforms) and basic proficiency in spreadsheet or database systems are commonly required. Reliability, consistency, and effective communication are crucial soft skills for quality assurance and collaboration with data teams. These skills and qualities are essential to ensure the accuracy and efficiency of annotated datasets, which directly impact the performance of machine learning models.

How does a full time data annotation tech typically collaborate with data scientists and engineers on projects?

As a Full Time Data Annotation Tech, you will regularly work alongside data scientists and engineers to ensure the accuracy and quality of labeled datasets used for machine learning models. Collaboration often involves attending project meetings to clarify annotation guidelines, providing feedback on ambiguous data cases, and updating annotation processes based on team input. Clear communication is essential, as your work directly impacts model performance and downstream analytics. This team-oriented environment fosters learning and provides insight into broader AI development workflows.

What is the difference between Full Time Data Annotation Tech vs Data Labeling Specialist?

AspectFull Time Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with training in labeling tools
Work EnvironmentOffice or remote, collaborative teamsRemote or on-site, focused on labeling tasks
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI accuracy

Both roles involve data annotation and labeling, often requiring similar skills and working environments. The main difference lies in job titles used by employers and the scope of responsibilities, with 'Full Time Data Annotation Tech' emphasizing a broader technical role, while 'Data Labeling Specialist' may focus more on specific labeling tasks.

Does full time data annotation tech actually pay?

Full-time data annotation technicians typically receive a regular salary or hourly wage, with pay rates varying based on experience, location, and company. Many roles offer benefits such as paid time off and health insurance, and some positions may require familiarity with annotation tools or specific data types.

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

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

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

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

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

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

Full Time Data Annotation Tech jobs near you

Data Annotation Specialist - South Bay, CA (On Site)

Welocalize

Sunnyvale, CA • On-site

Full-time

Re-posted 22 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

335th of 496 rated business services

Job description

Job Summary:
Welo Data is a company focused on advancing AI technologies, and they are seeking a skilled Data Annotation Specialist to join their team. The role involves testing AI products, conducting data annotation, and ensuring high-quality data for machine learning models.
Responsibilities:
• Test new AI products and provide actionable feedback to improve functionality and user experience.
• Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
• Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
• Analyze data for consistency, relevancy, and alignment with project goals.
• Perform quality control to identify and report anomalies, error patterns, and discrepancies.
• Use basic data analysis methods to extract insights and support continuous improvement.
• Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Qualifications:
Required:
• Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
• University degree in linguistics, translation, or a related field.
• 3-5 years of professional linguistics experience.
• Strong analytical skills with the ability to detect patterns and anomalies.
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
• Adaptability to evolving priorities and project requirements.
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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