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Data Labeler Remote Jobs in Atlanta, GA (NOW HIRING)

Truvani

Direct Response Copywriter - REMOTE

Atlanta, GA · Remote

$75K - $105K/yr

... labels without lies. Founded on one simple belief -- that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Truvani

Direct Response Copywriter - REMOTE

Atlanta, GA · On-site +1

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Truvani

Direct Response Copywriter - REMOTE

Atlanta, GA · Remote

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Noor Staffing Group

Head of Growth

Atlanta, GA · Remote

Director of Business Development | Performance Media Agency | Remote | Employment Type: Full-Time | ... data companies, franchise organizations, and enterprise service providers * Develop white-label and ...

Noor Staffing Group

Head of Growth

Atlanta, GA · Remote

Director of Business Development | Performance Media Agency | Remote | Employment Type: Full-Time | ... data companies, franchise organizations, and enterprise service providers * Develop white-label and ...

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All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Atlanta, GA

Data Labeler Remote information

See Atlanta, GA salary details

$14

$37

$54

How much do data labeler remote jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data labeler remote in Atlanta, GA is $37.20, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $42.07 per hour, depending on experience, location, and employer.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail and basic technical skills. While it can provide a stepping stone into tech-related fields, it may have limited advancement opportunities without additional skills or certifications.

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

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How much do data labelers get paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses, and familiarity with labeling tools can improve earning potential.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

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

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in Atlanta, GA? The most popular types of Data Labeler jobs in Atlanta, GA are:
What are popular job titles related to Data Labeler Remote jobs in Atlanta, GA? For Data Labeler Remote jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Atlanta, GA look for? The top searched job categories for Data Labeler Remote jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Labeler Remote jobs? Cities near Atlanta, GA with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Atlanta, GA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 33% Hybrid, and 67% Remote job distribution, with an average salary of $77,375 per year, or $37.2 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Atlanta, GA • Remote

$20/hr

Full-time, Part-time

Posted 2 days ago

New

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology