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Remote Ai Annotator Jobs (NOW HIRING)

Mercor

Korean AI Session Reviewer

San Francisco, CA · Remote

$24 - $30/hr

AI Session Annotator (Korean) Type: Contract Compensation: $24-$30/hour Location: Remote Role Responsibilities * Review recorded sessions where users interact with an AI assistant via voice and ...

LILT, Inc

AI Training Contributor - Khmer - Remote

Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

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Remote Ai Annotator information

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$83.5K

$127K

$171K

How much do remote ai annotator jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote ai annotator in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Annotator vs Remote Data Labeler?

AspectRemote Ai AnnotatorRemote Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Both roles involve remote work and data annotation tasks, but Remote Ai Annotators often focus on more specialized annotations for AI training, while Remote Data Labelers may handle broader labeling tasks. The skills and industry usage are similar, making them closely related roles in AI development.

How to become a Remote AI Annotator?

To become a remote AI annotator, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many positions require a high school diploma or equivalent, and some may prefer prior experience in data labeling or related fields. Applying through online job boards and completing any required training or assessments are common steps to start in this role.

What does a remote AI annotator do?

A remote AI annotator labels and tags data such as images, videos, or text to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working independently with flexible schedules.
More about Remote Ai Annotator jobs

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What are the most commonly searched types of Ai Annotator jobs?

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What states have the most Remote Ai Annotator jobs?

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Remote Ai Annotator jobs near you
Infographic showing various Remote Ai Annotator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

E-commerce Annotation Specialist - AI Trainer

Mercor

Los Angeles, CA • Remote

$40 - $50/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.


#hiringmercor