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Annotation Labelling Jobs in Martinez, CA (NOW HIRING)

Specter

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 ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... structured labelling tasks * Demonstrated ability to engage effectively with both technical ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... structured labelling tasks * Demonstrated ability to engage effectively with both technical ...

HumanSignal

Operations Associate

San Francisco, CA · On-site

$70K - $90K/yr

... annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the ...

HumanSignal

Training Specialist

San Francisco, CA · On-site

$60K - $125K/yr

... annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the ...

HumanSignal

Training Specialist

San Francisco, CA

$60K - $125K/yr

... annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the ...

HumanSignal

Operations Associate

San Francisco, CA · On-site

$70K - $90K/yr

... annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the ...

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All JobsAnnotation Labelling JobsAnnotation Labelling Jobs in Martinez, CA

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, and why are they important?

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:
Annotation Labelling jobs near you
Learning Designer

Learning Designer

Mercor

San Francisco, CA • On-site

$125K/yr

Full-time

Posted 20 days ago

Job description

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We're looking for a Learning Designer to build the instructional infrastructure that powers Mercor's human data operations - both for our internal teams and the thousands of talent experts who execute complex AI training tasks.
Your work will span three key areas:
  1. Project-level instructional design:
    • Review and improve project guidelines, rubrics, and instruction documents to maximize clarity and task performance for our talent experts to complete data annotation and evaluation work
    • Transform complex task specifications into well-structured instructional materials that talent experts can follow accurately
    • Partner with project teams to identify where documentation gaps are causing quality issues and design solutions
  2. Centralized learning academies:
    • Build centralized academy programs for complex data types related to post-training for LLMs
    • Create structured upskilling pathways that prepare talent experts for increasingly sophisticated project work
    • Develop assessments and certification frameworks that validate readiness for specific project types
  3. Internal training systems:
    • Design and develop training curricula for internal Mercor employees across the full project lifecycle - from onboarding fundamentals to advanced client-facing skills
    • Build competency-based learning paths that progress from foundational concepts to applied expertise
    • Develop evaluation and certification systems to ensure consistent quality and skill development across teams

You'll be designing learning experiences that develop genuine expertise, whether that's teaching an SPL to run a client conversation or helping a talent expert understand the nuances of turning their expertise into a rubric that can evaluate LLM responses. Your work directly impacts the quality of data that trains frontier AI systems.
What We're Looking For
  • 2+ years of experience in learning design, instructional design, curriculum development, or technical writing
  • Strong pedagogical foundation - you understand how people actually learn and can design experiences that build real skills, not just surface familiarity
  • Excellent writing and communication skills - you can make complex concepts clear and actionable for diverse audiences
  • Experience creating task documentation or procedural guides - you know how to write instructions that people can actually follow
  • Ability to diagnose instructional problems - when task quality suffers, you can identify whether it's a training gap, a documentation issue, or something else
  • Experience creating multi-format content (written documentation, video, interactive exercises, assessments)
  • Comfort with ambiguity and rapid iteration - we're building systems in a fast-moving environment, and you'll need to ship and improve continuously
  • Systems thinking orientation - you see how individual skills connect to broader operational excellence

Nice to Have
  • Experience in tech, AI/ML, or data operations environments
  • Experience building training programs at high-growth startups
  • Background in teaching, coaching, or educational leadership
  • Familiarity with data annotation, labeling, or evaluation workflows
  • Background in training for client-facing or sales roles

Apply