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Annotation Jobs in Sunnyvale, CA (NOW HIRING)

Mercor

E-commerce Annotation Specialist

San Francisco, CA · Remote

$40 - $50/hr

Experience in annotation, labeling, or model-evaluation work . * Familiarity with the Shop app or other AI shopping assistants. * Knowledge of customer-support operations and escalation paths.

Posted today

Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$132.10 - $165.10/hr

You will partner closely with Annotation Operations, Perception, and Engineering teams to ensure data readiness for model training and evaluation. The ideal candidate is data‑driven ...

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iMerit

Be Seen First

Video Data Annotator

San Jose, CA · Remote

$35/hr

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 ...

Xdof

Technical Program Manager

San Francisco, CA

$152K - $196K/yr

Ensure data annotation projects meet client requirements on accuracy and SLA, while satisfying internal cost targets. * Collection & Annotation Solution Design: Develop a deep understanding of ...

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Showing results 21-40

All JobsAnnotation JobsAnnotation Jobs in Sunnyvale, CA

Annotation information

See Sunnyvale, CA salary details

$52.8K

$68.6K

$114.4K

How much do annotation jobs pay per year?

As of Aug 19, 2026, the average yearly pay for annotation in Sunnyvale, CA is $68,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $68,100.00 per year, depending on experience, location, and employer.

What is an annotation?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What are the typical projects or tasks an annotation specialist works on?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

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

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

What are annotation jobs?

Annotation jobs involve labeling or tagging data, such as images, text, or audio, to help train machine learning models. These roles often require attention to detail and familiarity with annotation tools or software, and they are commonly performed remotely or in a digital environment.

What skills are needed for annotation?

Annotation jobs require strong attention to detail, good reading comprehension, and the ability to follow specific guidelines. Familiarity with data labeling tools and basic computer skills are also important. Accuracy and consistency are essential for producing high-quality annotated data.

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

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

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

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

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

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

Annotation jobs near you
Infographic showing various Annotation job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 2% As Needed, 45% Full Time, 49% Part Time, and 4% Contract. Highlights an 47% Physical, 2% Hybrid, and 51% Remote job distribution, with an average salary of $68,559 per year, or $33 per hour.

E-commerce Annotation Specialist

Mercor

San Francisco, CA • Remote

$40 - $50/hr

Full-time

Posted 21 hours ago

Posted today

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Shopify Shop App Agent Annotator
Type: Contract
Compensation: $40–$50/hour
Location: Remote
Commitment: ~5 hours/week

Role Responsibilities

  • Evaluate full shopper and agent conversations, including tool calls and their outcomes.
  • Identify the specific turn that received a thumbs-down from the shopper.
  • Classify the issue with one primary tag and a specific secondary tag.
  • Write concise comments explaining the shopper's intent, the agent's actions, and the rationale for the tags.
  • Work independently and asynchronously to maintain consistency across evaluations.

Qualifications

Must-Have

  • Rule discipline for consistent taxonomy application.
  • Comfort reading structured traces to understand agent actions.
  • Restraint under ambiguity to use the unknown label appropriately.
  • Clear, concise written English for effective communication.

Preferred

  • Consumer e-commerce fluency in orders, tracking, and returns.
  • Experience in annotation, labeling, or model-evaluation work.
  • Familiarity with the Shop app or other AI shopping assistants.
  • Knowledge of customer-support operations and escalation paths.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.