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Manual Software Testing Jobs in Georgia (NOW HIRING)

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

... manual and automated testing . Key Responsibilities Data Quality & Testing * Design, develop, and ... Support continuous improvement of QA processes and software development lifecycle * Document test ...

Maintain and enhance manual and automated test scripts, tools, and data sets * Analyze system ... Demonstrated experience in software testing, quality assurance, or system validation * Hands-on ...

Ensure software testing is done on-time and as planned and notify management about bottlenecks and ... Able to perform manual testing and/or automated testing. * Experience in documenting Requirement ...

Bachelor's degree in Software Engineering, Systems Engineering, or related field * 2-4 years of manual testing or QA experience * Hands-on experience with test case execution * Strong knowledge of ...

Bachelor's degree in Software Engineering, Systems Engineering, or related field * 2-4 years of manual testing or QA experience * Hands-on experience with test case execution * Strong knowledge of ...

Sr Quality Engineer

Atlanta, GA · On-site

$85K - $115K/yr

Senior-level Quality Engineering, QA, or software testing experience. * Strong hands-on experience with manual, exploratory, and functional testing. * Experience independently designing and executing ...

Showing results 21-40

Manual Software Testing information

See Georgia salary details

$8

$35

$51

How much do manual software testing jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for manual software testing in Georgia is $35.39, according to ZipRecruiter salary data. Most workers in this role earn between $28.41 and $41.20 per hour, depending on experience, location, and employer.

What is manual software testing?

A Manual Software Testing job involves manually executing test cases without using automation tools to identify defects in software applications. Testers validate functionality, usability, and performance by simulating real user scenarios. They analyze requirements, create test cases, execute tests, and report bugs to ensure software quality. This role requires attention to detail, analytical thinking, and effective communication to collaborate with developers and stakeholders.

What are the typical daily responsibilities of a manual software tester?

As a Manual Software Tester, your daily responsibilities often include reviewing software requirements, designing and executing test cases, documenting defects, and collaborating closely with developers and product teams to ensure issues are resolved. You will spend a significant portion of your day performing exploratory, functional, and regression testing on new or updated software features. Clear communication and meticulous reporting are important, as testers often provide detailed feedback that improves product quality. This role is integral to maintaining high standards in software release cycles and contributing to continuous improvement within the development team.

What are the key skills and qualifications needed to thrive as a manual software tester?

To thrive as a Manual Software Tester, you need a solid understanding of software development processes, attention to detail, and proficiency in creating and executing test cases, usually supported by a relevant degree or practical experience. Familiarity with testing tools such as JIRA, Bugzilla, or TestRail, and certifications like ISTQB can enhance your technical proficiency. Strong analytical thinking, communication skills, and the ability to collaborate effectively make candidates stand out in this position. These skills ensure thorough defect detection, clear documentation, and seamless teamwork, which are critical for delivering high-quality software products.

How to become a manual software tester?

To become a manual software tester, you should develop a good understanding of software development life cycles, testing methodologies, and defect tracking tools. Gaining knowledge of basic programming, attention to detail, and strong analytical skills are essential, and obtaining certifications like ISTQB can improve job prospects. Entry-level positions often require a high school diploma or equivalent, with on-the-job training provided for specific testing processes.

Is manual software testing in demand?

Manual software testing remains in demand as many companies require human oversight to identify user experience issues and complex bugs. While automation testing is growing, manual testing skills are still essential for certain projects, especially in environments with frequent changes or limited automation resources.

What are the most commonly searched types of Manual Software Testing jobs in Georgia?

The most popular types of Manual Software Testing jobs in Georgia are:

What are popular job titles related to Manual Software Testing jobs in Georgia?

For Manual Software Testing jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Manual Software Testing jobs in Georgia look for?

The top searched job categories for Manual Software Testing jobs in Georgia are:

What cities in Georgia are hiring for Manual Software Testing jobs?

Cities in Georgia with the most Manual Software Testing job openings:

Infographic showing various Manual Software Testing job openings in Georgia as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $73,608 per year, or $35.4 per hour.

Data Engineer 3

4pconsultinginc

Atlanta, GA • On-site

$110K - $132K/yr

Contractor

Re-posted 3 days ago


Job description

Position: Data Engineer 3 – Quality Assurance (AI & Data Platforms)

Location: Atlanta, Ga 30309

Duration: 10 Months

Client- Southern Company Gas


Position Overview

We are seeking an experienced Data Engineer – Quality Assurance to support data quality, testing, and validation across our AI-driven analytics platform. This role is focused on testing data and AI analytical models as data flows through a data lake architecture, ensuring accuracy, reliability, and performance.

As a Quality Assurance Data Engineer within the EDGE group, you will play a critical role in enforcing data quality standards, validating machine learning models, and supporting continuous improvement of our data and AI systems through both manual and automated testing.


Key Responsibilities

Data Quality & Testing

  • Design, develop, and execute data quality tests for data moving through relational systems and data lakes
  • Monitor, validate, and enforce data integrity, accuracy, and consistency
  • Identify, document, and resolve data issues across ingestion, transformation, and analytics layers

AI & Machine Learning QA

  • Implement QA testing strategies for AI and machine learning models
  • Validate model inputs, outputs, and performance against defined requirements
  • Work closely with data scientists and engineers to ensure reliable and trustworthy AI solutions
  • Support testing of model retraining, versioning, and deployment pipelines

Automation & Engineering

  • Develop and maintain automated testing frameworks for data pipelines and AI models
  • Write and maintain test scripts using Python and SQL
  • Apply strong data modeling principles to support scalable and testable architectures

Collaboration & Continuous Improvement

  • Partner with data engineers, ML engineers, and product teams to improve data and model quality
  • Support continuous improvement of QA processes and software development lifecycle
  • Document test plans, results, and quality metrics clearly for technical and business stakeholders

Experience

  • 5–10 years of experience in data engineering, data QA, or software testing
  • Hands-on experience testing data pipelines and analytics platforms
  • Experience supporting AI/ML model validation and testing

Technical Skills

  • Strong proficiency in Python and SQL
  • Deep understanding of data modeling and data lake architectures
  • Experience with automation testing tools and frameworks
  • Strong knowledge of machine learning concepts, workflows, and frameworks
  • Experience validating AI analytical models and data-driven systems