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Annotation Labelling Jobs in Martinez, CA (NOW HIRING)

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Learning Designer

San Francisco, CA · On-site

$80 - $100/hr

Familiarity with data annotation, labeling, or evaluation workflows * Background in training for client-facing or sales roles #J-18808-Ljbffr

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Build and maintain internal tooling for labelers, including annotation interfaces, task pipelines, and dataset browsers * Define and enforce quality control standards across all labeled data ...

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

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

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What job categories do people searching Annotation Labelling jobs in Martinez, CA look for?

The top searched job categories for Annotation Labelling jobs in Martinez, CA are:

What cities near Martinez, CA are hiring for Annotation Labelling jobs?

Cities near Martinez, CA with the most Annotation Labelling job openings:

Infographic showing various Annotation Labelling job openings in Martinez, CA as of August 2026, with employment types broken down into 1% As Needed, 46% Full Time, 48% Part Time, 1% Temporary, and 4% Contract. Highlights an 45% Physical, 1% Hybrid, and 54% Remote job distribution.

Annotation Specialist, Video (Contract)

Hooglee

San Francisco, CA • On-site

$25/hr

Part-time

Posted 14 days ago


Job description

Annotation Specialist, Video (Contract) - Onsite in SF
Pay: $25/hr
Hours: Part-time, 4-8 hours daily
Term: 10 weeks, with possible extension
Where: Onsite, San Francisco - equipment supplied at our office
Our AI Team is bringing on a contract Annotation Specialist to help build and refine the video datasets behind our models. You'll spend your day reviewing footage, applying labels, and flagging the things automated systems miss.
Day-to-day responsibilities
  • Review video assets in a range of formats and apply annotations according to project guidelines
  • Assess and tag content with a consistently high accuracy rate
  • Report back to the AI Team on footage quality issues and questionnaire design
  • Raise edge cases, contradictions in the guidelines, and process improvements as you spot them

What we're looking for
  • Meticulous eye for detail and consistency over long review sessions
  • Fluent English - reading, writing, and verbal

Nice to haves (though not required)
  • Annotation, labeling, or QA experience
  • Content creation experience