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Data Tagging Jobs in Georgia (NOW HIRING)

Zelis

Sr. Data Engineer, Payment Operations

Atlanta, GA · On-site

$101K - $138K/yr

... tagging. Maintain the combined platform monitoring table that supports top-down alerting across the ... Data Quality Management: Establish and maintain data quality controls within payment pipelines ...

Welo Data

English AI Maps Trainer

Atlanta, GA · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues (e.g., "Icons not properly masked," "Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye ...

authority

Technical SEO/GEO Manager

Atlanta, GA · On-site

... teams on tagging standards, QA processes, and analytics configuration across brand teams to ensure reporting accuracy. * Manages Data Studio reports and shares them with brand teams monthly ...

PlusUp

Creator Optimization Analyst

Atlanta, GA · On-site

You'll be in the data every day: pulling performance, structuring creative databases, building tagging systems, running AI-assisted analysis at volume. You'll also be making calls that don't come out ...

Worldpay

Senior Platform Engineer - Payrix

Atlanta, GA · On-site

$100K - $138K/yr

Build platform capabilities that satisfy PCI-DSS, SOC 2, data protection, and Worldpay landing zone expectations. * Support Snyk onboarding, project organization, policy and tagging conventions, and ...

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All JobsData Tagging JobsData Tagging Jobs in Georgia

Data Tagging information

See Georgia salary details

$46.4K

$83.8K

$114.4K

How much do data tagging jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data tagging in Georgia is $83,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,600.00 and $91,600.00 per year, depending on experience, location, and employer.

What is data tagging?

A Data Tagging job involves labeling or annotating data, such as text, images, audio, or video, to help machine learning models understand patterns and make accurate predictions. Taggers assign relevant metadata, categories, or identifiers to raw data based on predefined guidelines. This process is essential for training AI systems in tasks like image recognition, natural language processing, and content moderation. Attention to detail and consistency are critical in ensuring high-quality, accurate datasets for AI models.

What does a data tagger do?

A typical day for a Data Tagging professional involves reviewing large volumes of data—such as images, video clips, audio, or text—and applying specific labels or annotations according to detailed project guidelines. You’ll likely work with specialized software platforms and may be part of a collaborative team that regularly coordinates to ensure consistency and accuracy. Frequent communication with project managers or data scientists is common to clarify criteria or resolve ambiguities. While the work can be repetitive, it is crucial for the development of AI and machine learning applications, and there are often opportunities to progress into quality assurance, project coordination, or more technical data roles over time.

What skills and qualifications are needed for data tagging?

To excel in a Data Tagging role, attention to detail, consistency, and a basic understanding of data categorization or annotation are essential, often supported by a high school diploma or equivalent. Familiarity with specialized annotation software or data labeling platforms, as well as basic computer literacy, is typically required. Strong time management, communication skills, and the ability to follow detailed instructions help candidates stand out. These abilities ensure that tagged data is accurate, reliable, and ready for use in training machine learning models or improving data-driven processes.

What are the most commonly searched types of Data Tagging jobs in Georgia?

The most popular types of Data Tagging jobs in Georgia are:

What are popular job titles related to Data Tagging jobs in Georgia?

For Data Tagging jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Tagging jobs in Georgia look for?

The top searched job categories for Data Tagging jobs in Georgia are:

What cities in Georgia are hiring for Data Tagging jobs?

Cities in Georgia with the most Data Tagging job openings:

Data Tagging jobs near you
Infographic showing various Data Tagging job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,789 per year, or $40.3 per hour.

Senior Data Engineer

GreenSky Administrative Services LLC

Atlanta, GA • Remote

$101K - $138K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Design, develop, and implement data processing jobs to move and transform data from OLTP databases into the Data Lake using tools such as MSSQL, SQL, Snowflake SQL, Java, Talend, JavaScript, Python, and Bash.

  • Build and maintain automated tools and pipelines, including CI/CD workflows, to ensure data quality, security, and compliance across enterprise data systems.

  • Monitor, troubleshoot, and optimize data jobs and pipelines, and mentor data engineers to uphold engineering standards and performance.

Job description

Job Duties: Senior Data Engineer with GREENSKY MANAGEMENT COMPANY LLC in Atlanta, GA. Remote work permitted. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with data and analytics experts to strive for greater functionality in our data systems. Design and develop/build jobs using MSSQL, SQL, Snowflake SQL, Java, Talend, JavaScript, Python and Bash to move data generated by one of our Online Transactional Processing (OLTP) databases and move it into our Data Lake. Build/develop jobs using tools such as Talend or any other ETL tools in order to allow for the data movement. Design Talend, Snowflake, and SQL jobs that will clean, transform, and move the data into the correct places. Make additions to the automated tools that display the data to the end users or simplify the data for consumption by Greensky's own internal processes. Design jobs in such a way that they can be monitored to fix any problems that arise from working on the databases. Build and maintain robust CI/CD pipelines using GitHub to automate the testing and promotion of dbt models, Snowpark procedures, and schema migrations. Implement enterprise-wide security standards using Row Access Policies, Dynamic Data Masking, and Object Tagging to automate compliance. Implement automated data quality checks, schema drift alerts, and lineage tracking to maintain trust and compliance. Mentoring data engineers, code reviews and performance enhancements to maintain engineering standards, governance and cost optimization.


Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Information Systems, Information Technology, Computer Science, Computer Engineering, Electrical Engineering or a related field and three (3) years of experience in the job offered or in a related role. Prior experience must include three (3) years of experience with: build and maintain ETL tools to develop jobs for extracting, integrating, and loading data into data warehouse, database environments; using MS-SQL, Snow-SQL, Stored Procedures, Tasks, Warehouse Management, Amazon-AWS/S3, Talend, ETL like SSIS, HTML, XML, JSON and JavaScript, Python; develop data applications, data processing workflows and automated scripts; design and maintain stored procedure, user-defined functions and end-end data pipeline orchestrations across multiple data sources and teams; automate workflows and build complex transformations using automation tools and scheduling; implement incremental loads, CDC patterns, merge based upsert, and end-end data pipelines; build testing strategies including unit tests, data quality checks and integration checks and migrate code using CI/CD pipeline and version control tools like Github. Prior experience must include two (2) years of experience with: conducting Audit processes in cloud warehouses. Prior experience must include one (1) year of experience with: using Data governance tools such as Ovaledge with deep understanding of data catalogs, crawling and profiling meta data, and the data lifecycle process; and using change data capture tools for configuration, management and support of real time data synchronization. Up to 10% travel required. Domestic only.

GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.  For more information, visit us on the web at www.greensky.com.

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