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Remote Data Labeling Analyst Jobs (NOW HIRING)

Landpoint

Remote Data Analyst

Fremont, CA · Remote

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

Jobsultant Solutions

Remote Data Entry Analyst

Remote Data Entry Analyst Boston, Massachusetts, United States Or refer someone Job Openings Remote Data Entry Analyst About the Job Remote Data Entry Analyst This is your chance to start a long ...

Welocalize, Inc.

Data Labeling Associate

$16.50 - $21.25/hr

Annotate data accurately, ensuring it adheres to set guidelines ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Recruit Monitor

Remote Data Analyst

San Jose, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Easy Recruiter

Remote Data Analyst

Chicago, IL · Remote

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data ...

LT Apparel Group

Data Analyst

Milford, CT · Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on ... LT Apparel Group About the Role LT Apparel Group is hiring a remote Data Analyst to support our ...

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Prointegrate LLC

Be Seen First

Business Analyst - Data Annotator (USA) - Remote

Dallas, TX · Remote

$15 - $17/hr

Remote - United States Employment Type: Short-Term Contractor / Freelancer Engagement ... Review, classify, label, and validate data according to project-specific guidelines. * Analyze ...

New

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Remote Data Labeling Analyst information

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$34K

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How much do remote data labeling analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data labeling analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a remote data labeling analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What are the key skills and qualifications needed to thrive as a remote data labeling analyst?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by remote data labeling analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

More about Remote Data Labeling Analyst jobs

What cities are hiring for Remote Data Labeling Analyst jobs?

Cities with the most Remote Data Labeling Analyst job openings:

What are the most commonly searched types of Data Labeling Analyst jobs?

The most popular types of Data Labeling Analyst jobs are:

What states have the most Remote Data Labeling Analyst jobs?

States with the most job openings for Remote Data Labeling Analyst jobs include:

What job categories do people searching Remote Data Labeling Analyst jobs look for?

The top searched job categories for Remote Data Labeling Analyst jobs are:

Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Labeling Specialist (Remote)

San Francisco, CA • Remote

Workada
See more jobs at Workadaexternal

$17/hr

Contractor

Re-posted 4 days ago

Job description

At Workada, we're not just labeling data — we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.

Learn more about us at workada.co

About the role

We're hiring detail-oriented individuals comfortable working on a computer and interested in careful, focused digital work. Tasks include reviewing written information, images, documents, or other digital content, categorizing examples, evaluating responses, and quality-checking data.

Who we're looking for

  • Strong readers and writers with good judgment
  • People who can follow detailed instructions consistently
  • Comfortable using web-based tools and online platforms
  • Takes quality seriously and can spot mistakes or inconsistencies
  • Values integrity, reliability, and a commitment to high-quality work

Qualifications

  • Reliable internet connection and computer
  • Strong attention to detail
  • Ability to follow written guidelines independently
  • Clear written communication skills
  • Basic familiarity with spreadsheets or web-based tools
  • Prior experience in data labeling, annotation, writing, research, or operations is helpful but not required
  • Must be based in US or Canada

Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.

Company Description

At Workada, we're not just labeling data — we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.

Learn more about us at workada.co

Apply