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Remote Test Jobs in Georgia (NOW HIRING)

Autodesk

Senior Machine Learning Test Engineer

Atlanta, GA · On-site +1

$106K - $138K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team,

CSAA

$42 - $57.75/hr

External candidates: In order for your application to be correctly processed please sign-in before you apply Internal candidates: Please go to Workday and click "Find Jobs" link under Career Thank

Truvani

Direct Response Copywriter - REMOTE

Atlanta, GA · On-site +1

$75K - $105K/yr

Direct Response Copywriter for Truvani Remote (U.S.-based required) | Full-Time | Reports to: Senior Creative Strategist, Performance Advertising Compensation: $75,000-$105,000 base, based on

Truvani

Direct Response Copywriter - REMOTE

Atlanta, GA · Remote

$75K - $105K/yr

Direct Response Copywriter for Truvani Remote (U.S.-based required) | Full-Time | Reports to: Senior Creative Strategist, Performance Advertising Compensation: $75,000-$105,000 base, based on

SAIC

ATL Remote Pilot Operator

Hapeville, GA · Remote

Job ID: 2615596 Location: Hapeville, GA, US Date Posted: 2026-08-12 Category: Information Technology Subcategory: Computer Operator Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance

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How much do remote test jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote test in Georgia is $15.11, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $14.62 per hour, depending on experience, location, and employer.

What are some common challenges faced when working as a remote software tester, and how can they be effectively managed?

Remote software testers often face challenges such as communication barriers, coordinating across different time zones, and ensuring consistent access to test environments. To manage these, it's important to use collaborative tools for tracking bugs and test progress, maintain clear and frequent communication with development teams, and proactively schedule meetings to address any blockers. Establishing a reliable workflow and documenting processes also help ensure testing remains thorough and efficient, even when working from different locations.

What are the key skills and qualifications needed to thrive as a remote tester, and why are they important?

To thrive as a Remote Tester, you need strong analytical skills, attention to detail, and a solid understanding of software testing methodologies, often supported by a degree in computer science or related field. Familiarity with test management tools (like Jira or TestRail), automation frameworks (such as Selenium), and relevant certifications (e.g., ISTQB) are typically required. Excellent communication, self-motivation, and time management are vital soft skills for collaborating effectively and meeting deadlines in a remote environment. These skills enable thorough testing, efficient problem-solving, and seamless teamwork, ensuring software quality and project success.

What is a remote test?

Remote test jobs refer to positions where professionals perform software or product testing from a location outside of a traditional office setting, typically from home or any remote location. These roles involve identifying bugs, verifying product functionality, and ensuring quality standards using various testing tools and methodologies. Remote testers collaborate with development teams online and use communication platforms to report issues and track progress, making strong organizational and communication skills important. This setup offers flexibility and access to job opportunities regardless of geographical location.

What is the difference between Remote Test vs Remote Developer?

AspectRemote TestRemote Developer
Required CredentialsTypically requires testing certifications or quality assurance trainingRequires programming skills and software development certifications
Work EnvironmentPrimarily focused on testing environments, tools, and quality assurance processesInvolves coding, debugging, and software design in a remote setting
Employer & Industry UsageUsed in QA teams across tech, gaming, and app development companiesCommon in software development firms, tech startups, and IT services
Search & Comparison IntentOften compared for quality assurance rolesCompared for software development roles

The main difference between Remote Test and Remote Developer lies in their focus and skill requirements. Remote Test roles emphasize quality assurance, testing methodologies, and related certifications, while Remote Developer positions focus on coding, software creation, and technical skills. Both roles are remote-friendly and vital in tech industries, but they serve different functions within the software development lifecycle.

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

The most popular types of Test jobs in Georgia are:

What cities in Georgia are hiring for Remote Test jobs?

Cities in Georgia with the most Remote Test job openings:

Remote Test jobs near you
Infographic showing various Remote Test job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $31,427 per year, or $15.1 per hour.

Senior Test Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

VetsEZ is currently looking for a Senior Test Engineer for a 100% remote position supporting a large federal government healthcare modernization project. In this role, you will support the development, validation, and automation of an AI-powered Patient Health Data Summarization capability within the Joint Longitudinal Viewer (JLV) Clinical Decision Support (CDS) platform. The ideal candidate will have strong healthcare interoperability experience, knowledge of C-CDA standards, experience testing complex healthcare applications, and hands-on experience with test automation and AI-enabled quality engineering.

The candidate must reside within the continental US.

Responsibilities

  • Develop comprehensive test plans, test cases, and acceptance criteria for AI-powered patient summarization capabilities.
  • Create traceability between business requirements, clinical data standards, and test scenarios.
  • Design test coverage across clinical document types, including Continuity of Care Documents (CCD), Discharge Summaries, Progress Notes, and History & Physical documents.
  • Develop positive, negative, boundary, and edge-case testing scenarios for AI-enabled clinical applications.
  • Analyze and validate C-CDA XML documents, including headers, sections, templates, and clinical entries.
  • Verify accurate extraction and summarization of clinical information, including medications, allergies, laboratory results, procedures, care plans, and diagnoses.
  • Ensure AI-generated summaries accurately reflect source clinical documentation and maintain traceability to original clinical sources.
  • Perform functional, integration, system, regression, performance, and user acceptance testing.
  • Develop and maintain automated test suites for document ingestion, AI summarization, APIs, and user interfaces.
  • Test CDS workflows and patient-context-driven launch scenarios across multiple data sources and patient encounters.
  • Support CI/CD pipelines through automated quality gates and continuous testing.
  • Build automated validation frameworks for AI-generated summaries.
  • Evaluate AI-generated content for clinical completeness, consistency, usability, accuracy, and reliability.
  • Identify omissions, inaccuracies, hallucinations, and other AI-generated defects that could impact clinical workflows.
  • Validate AI guardrails, monitoring capabilities, auditability, and quality controls.
  • Participate in defect triage, root-cause analysis, and release-readiness activities.
  • Create test documentation, defect reports, traceability matrices, and quality assessments.
  • Collaborate with software engineers, solution architects, clinicians, product owners, cybersecurity teams, and government stakeholders.
  • Leverage AI-assisted tools to accelerate test development, test automation, regression testing, defect analysis, and quality assurance activities.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Health Informatics, Engineering, or a related technical discipline, or equivalent experience.
  • Minimum of 5 years of experience testing healthcare software applications.
  • Strong knowledge of Consolidated Clinical Document Architecture (C-CDA) standards, including clinical document structure, sections, templates, and entries.
  • Hands-on experience reading, validating, and troubleshooting XML-based healthcare data.
  • Experience with healthcare interoperability standards and clinical data exchange.
  • Experience testing Clinical Decision Support (CDS) applications and workflows.
  • Familiarity with SMART on FHIR, CDS Hooks, REST APIs, and related interoperability technologies.
  • Experience with test automation frameworks, API testing tools, and defect management platforms.
  • Experience developing and maintaining automated testing solutions within Agile and DevSecOps environments.
  • Experience with AI-assisted testing tools and techniques for test case generation, automation development, regression testing, defect analysis, and quality assurance.
  • Familiarity with Generative AI and Large Language Models (LLMs), including using AI to create and maintain automated test scripts, validation frameworks, and test data.
  • Experience validating AI-generated outputs and establishing quality controls for accuracy, consistency, repeatability, and reliability.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.

Additional Qualifications

  • Experience supporting Department of Veterans Affairs (VA) healthcare systems, including JLV or similar clinical viewer applications.
  • Knowledge of USCDI and healthcare interoperability requirements.
  • Familiarity with healthcare terminologies such as SNOMED CT, LOINC, RxNorm, and ICD.
  • Experience validating AI/ML-enabled healthcare solutions.
  • Experience with AI-powered testing platforms such as GitHub Copilot, Microsoft Copilot, Testim, Functionize, Mabl, or similar tools.
  • Experience creating autonomous or semi-autonomous AI testing workflows, including test-case generation, coverage analysis, synthetic test data, and automated defect triage.
  • Understanding of prompt engineering and AI evaluation methodologies for software quality assurance.
  • Knowledge of accessibility and usability testing within healthcare environments.
  • Experience working within Agile, DevSecOps, and cloud-native development environments.
  • Exposure to healthcare data analytics and modernization initiatives within federal healthcare agencies.

Security Clearance Requirements

U.S. Citizenship is required.

All selected candidates must successfully complete a background check.

Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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