2

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

Remote Data Tagging information

See Atlanta, GA salary details

$52.9K

$95.4K

$130.3K

How much do remote data tagging jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data tagging in Atlanta, GA is $95,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $104,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Tagging Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, typically supported by a high school diploma or higher. Experience with data annotation tools such as Labelbox, Supervisely, or CVAT, and understanding of formats like JSON or XML, is commonly required. Excellent time management, communication, and reliability are standout soft skills for this remote role. These abilities are crucial to ensure high-quality, accurate datasets that power machine learning and AI systems.

What are some common challenges faced by remote data tagging professionals and how can they be addressed?

Remote data tagging professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying engaged without in-person supervision. To address these, it’s helpful to follow clear annotation guidelines, take regular breaks to prevent fatigue, and use collaboration tools to communicate with team members or supervisors. Many organizations also provide feedback loops and quality checks to support remote taggers in improving their work and staying aligned with project expectations.

What is the difference between Remote Data Tagging vs Remote Data Annotation?

AspectRemote Data TaggingRemote Data Annotation
Primary FocusLabeling specific data points within datasetsAdding detailed labels and context to data
Skills RequiredAttention to detail, basic understanding of data typesAnalytical skills, understanding of data context
Work EnvironmentRemote, often part-time or freelanceRemote, often part-time or freelance
Industry UsageMachine learning, AI trainingMachine learning, AI training

Remote Data Tagging and Remote Data Annotation are closely related tasks in AI data preparation. Tagging typically involves marking specific data points, while annotation provides more detailed context. Both roles are essential for training machine learning models and share similar skills and work environments.

What is remote data tagging?

Remote data tagging is the process of labeling or annotating data—such as images, videos, text, or audio—while working from a remote location, typically from home. This work is essential for training artificial intelligence (AI) and machine learning models, as it helps computers better understand and categorize information. Data taggers use specialized software to mark, classify, or add metadata to various types of digital content according to specific guidelines provided by employers or clients. Most remote data tagging jobs require attention to detail, basic computer skills, and the ability to follow detailed instructions. These roles are often offered as freelance, part-time, or full-time remote positions.
What are popular job titles related to Remote Data Tagging jobs in Atlanta, GA? For Remote Data Tagging jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Tagging jobs in Atlanta, GA look for? The top searched job categories for Remote Data Tagging jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Data Tagging jobs? Cities near Atlanta, GA with the most Remote Data Tagging job openings:
Infographic showing various Remote Data Tagging job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $95,426 per year, or $45.9 per hour.

Sr. Digital Data Analyst - Contractor

corpay

Atlanta, GA • Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Corpay rating

7.4

Company rating: 7.4 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

13th of 21 rated payment service providers


Job description

What We Need

CORPAY is currently looking for a Contract Senior Digital Data Analyst to help shape how we measure, understand, and improve digital performance across our web experiences. This is a senior individual contributor role for an analyst who combines technical fluency, strong business judgment, and sharp problem-solving skills.

In this role, you will support day-to-day digital analytics needs across website tagging, reporting, analysis, and data-driven personalization and experimentation. You will partner with stakeholders across digital, marketing, content, and optimization to ensure data is reliable, insights are actionable, and measurement supports better business decisions.

This role is best suited for someone who is thoughtful, curious, and highly self-directed. We are looking for an analyst who can work through ambiguity, spot issues before they become problems, and make sound decisions without needing step-by-step direction. You should be comfortable asking hard questions of the data, validating your own work, and adapting your approach when the situation does not fit a familiar pattern.

 

How We Work

As a Contractor, you will be expected to work in a virtual environment. CORPAY will set you up for success by providing:

  • Assigned workspace in a home office set up
  • Company-issued equipment + remote access

 

Role Responsibilities

The responsibilities of the role will include:

  • Supporting digital analytics across websites and digital experiences, including reporting, ad hoc analysis, and measurement planning.
  • Partnering with stakeholders to translate business questions into clear measurement approaches, reporting structures, and analytical frameworks.
  • Building, maintaining, and improving dashboards, recurring reporting, KPI definitions, and insight-driven analyses.
  • Creating, organizing, and maintaining analytics documentation in SharePoint, including measurement frameworks, KPI definitions, implementation notes, reporting logic, and process guidance.
  • Identifying trends, performance drivers, risks, and opportunities, then turn findings into clear recommendations.
  • Serving as a strong practitioner in Adobe Analytics, including segmentation, calculated metrics, attribution, workspace analysis, and data interpretation.
  • Reviewing data critically, investigate anomalies, reconcile discrepancies, and catch errors before work is shared.
  • Supporting day-to-day website tagging operations by helping define requirements, reviewing requests, validating implementation, and strengthening QA and governance processes.
  • Partnering with cross-functional teams to ensure digital measurement is aligned with reporting, analysis, and optimization needs.
  • Supporting personalization and experimentation efforts with audience analysis, measurement planning, test readouts, and insight generation.
  • Helping ensure testing and personalization decisions are grounded in a disciplined, data-driven approach.
  • Contributing to continuous improvement by identifying opportunities to automate repeatable work, improve workflows, and strengthen analytics practices.
  • Supporting evolving measurement needs tied to organic growth, content performance, and emerging AI-driven traffic sources.

 

Qualifications & Skills

  • 5+ years of experience in digital analytics, web analytics, marketing analytics, or a related field.
  • Deep hands-on experience with Adobe Analytics.
  • Strong experience in reporting, segmentation, analysis, and digital performance measurement.
  • Working knowledge of website tagging concepts, analytics QA, and data governance.
  • Experience supporting experimentation, personalization, or optimization initiatives.
  • Proven ability to solve problems independently and work effectively in ambiguous situations.
  • Strong written and verbal communication skills.

 

Preferred

  • Familiarity with SEO measurement, content performance analysis, and digital growth strategies.
  • Experience in environments that are automating parts of the analytics workflow.
  • Exposure to measuring and interpreting emerging traffic patterns, including AI-driven traffic sources.
  • Experience evaluating or working with analytics tagging QA tools.
  • Power BI experience is preferred.

 

Benefits & Perks

  • Medical, Dental & Vision benefits available the 1st month after hire
  • Automatic enrollment into our 401k plan (subject to eligibility requirements)
  • Virtual fitness classes offered company-wide
  • Robust PTO offerings including major holidays, vacation, sick, personal, & volunteer time
  • Employee discounts with major providers (i.e. wireless, gym, car rental, etc.)
  • Philanthropic support with both local and national organizations
  • Fun culture with company-wide contests and prizes

Pay Transparency

This salary range is provided for locations which require such disclosure. Where a position or applicant may fall in a particular wage range depends on a number of factors including but not limited to skill sets, experience training licenses and certifications (if applicable), and other business and organization needs. The disclosed range has not been adjusted for the applicable geographic markets. At Corpay it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions depend on the facts and circumstances of each case. The estimate of the minimum and maximum salary range is $50.00-$55.00/hourly USD.

For more information about our commitment to equal employment opportunity and pay transparency, please click the following links: EEOC and Pay Transparency.


What Corpay employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom