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Remote Annotator Jobs in California (NOW HIRING)

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 ...

Remote Role Responsibilities * Capture high-quality screenshots of professional CAD software during realistic, expert workflows. * Annotate interactive UI elements like buttons, menus, panels ...

Remote Annotator information

What is a remote annotator?

Remote annotators are professionals who label, tag, or categorize data—such as images, text, audio, or video—from a remote location, usually working from home. They play an essential role in preparing data for machine learning models and artificial intelligence systems by ensuring the information is accurately annotated. Remote annotators often use specialized software to complete their tasks and need strong attention to detail. This job is ideal for those seeking flexible, work-from-home opportunities and is common in industries like technology, healthcare, and autonomous vehicles.

What are the key skills and qualifications needed to thrive as a remote annotator, and why are they important?

To thrive as a Remote Annotator, you need strong attention to detail, data entry accuracy, and familiarity with data labeling or annotation concepts, often supported by a high school diploma or equivalent. Proficiency with online annotation platforms, tools like Labelbox or Supervisely, and sometimes knowledge of basic programming or image editing software is valuable. Excellent time management, self-motivation, and clear communication skills help you excel in independent and collaborative remote environments. These skills ensure that annotated data is accurate, consistent, and valuable for training reliable AI and machine learning systems.

What are some common challenges faced by remote annotators, and how can they be managed effectively?

Remote annotators often encounter challenges such as maintaining focus during repetitive tasks, managing deadlines across multiple projects, and ensuring clear communication with project managers or team leads in a virtual environment. To address these, it's helpful to establish a dedicated workspace, use productivity tools to track progress, and proactively seek clarification on guidelines when needed. Building a routine and participating in team check-ins can also foster engagement and help annotators stay aligned with project requirements.

What is the difference between Remote Annotator vs Data Labeler?

AspectRemote AnnotatorData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentRemote, often collaborative with teamsRemote or on-site, often individual work
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Common Search/ComparisonRemote Annotator vs Data Labeler

The main difference between a Remote Annotator and a Data Labeler lies in the scope of work. Remote Annotators often perform detailed annotations, such as labeling images, videos, or audio for AI training, requiring some technical skills. Data Labelers typically focus on basic labeling tasks with minimal technical requirements. Both roles are remote and used in similar industries like AI and machine learning, but Remote Annotators usually handle more complex annotation tasks.

What are popular job titles related to Remote Annotator jobs in California?

For Remote Annotator jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Annotator jobs in California look for?

The top searched job categories for Remote Annotator jobs in California are:

What cities in California are hiring for Remote Annotator jobs?

Cities in California with the most Remote Annotator job openings:

Infographic showing various Remote Annotator job openings in California as of August 2026, with employment types broken down into 2% Internship, 64% Full Time, 13% Part Time, and 21% Contract. Highlights an 51% Physical, 1% Hybrid, and 48% Remote job distribution.

Shop App Annotator - Fully Remote | Upto $50/hr

Mercor

San Francisco, CA • Remote

$50/hr

Full-time

Posted 6 days ago


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-agent conversations, including tool calls and their outcomes.
  • Identify the specific turn that received a thumbs-down from the shopper.
  • Classify the issue with a primary domain 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 in tagging across conversations.

Qualifications

Must-Have

  • Rule discipline to apply a fixed taxonomy consistently.
  • Comfort reading structured traces to understand agent actions.
  • Restraint under ambiguity to use the unknown label appropriately.
  • Clear, concise written English for explaining labeling decisions.

Preferred

  • Consumer e-commerce fluency in orders, tracking, and platform responsibilities.
  • Prior annotation, labelling, or model-evaluation work with a defined rubric.
  • Experience with the Shop app or other AI shopping assistants.
  • Familiarity with 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.