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Seasonal Remote Software Testing Jobs in Georgia

OnPay

Staff Engineer

Atlanta, GA · On-site +1

Familiarity with software testing best practices. * Hands-On Experience with AWS, GCP, MySQL, Mongo ... Remote flexibility: Work from anywhere in the U.S., or join our collaborative HQ team in Atlanta ...

OnPay

Staff Engineer

Atlanta, GA · On-site +1

Familiarity with software testing best practices. * Hands-On Experience with AWS, GCP, MySQL, Mongo ... Remote flexibility: Work from anywhere in the U.S., or join our collaborative HQ team in Atlanta ...

ImagineX Consulting

Senior GoLang Developer

Atlanta, GA · On-site +1

$53.50 - $70.75/hr

Structured like a software company, not a traditional consultancy, we blend deep technical ... You'll enjoy working 100% remote in this full-time opportunity. Key Responsibilities * Design ...

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Seasonal Remote Software Testing information

What is seasonal remote software testing?

Seasonal remote software testing involves temporarily working from a remote location to test software applications, typically during peak periods when companies need extra support. Testers identify bugs, validate new features, and ensure overall software quality following established test cases. These roles are often short-term, aligning with product launches or holiday seasons, and require strong attention to detail, communication skills, and familiarity with software testing tools. Remote work allows testers to collaborate with distributed teams using digital platforms. The job offers flexibility and the opportunity to gain experience in quality assurance.

What are some common challenges faced by seasonal remote software testers, and how can they be managed?

Seasonal remote software testers often need to quickly familiarize themselves with new products and testing environments, which can be challenging in a short timeframe. Communication is another key challenge, as working remotely requires proactive collaboration with developers and other testers to clarify requirements and report bugs effectively. To manage these challenges, it's important to leverage documentation, participate actively in onboarding sessions, and use communication tools like Slack or Microsoft Teams. Establishing a structured daily routine and staying organized with task-tracking tools can also help testers stay on top of their responsibilities during the seasonal assignment.

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

To thrive as a Seasonal Remote Software Tester, you need a solid understanding of software testing principles, familiarity with various testing methodologies, and experience with bug tracking, often supported by a degree in computer science or equivalent experience. Proficiency with tools such as Selenium, JIRA, TestRail, and remote collaboration platforms is typically required. Strong attention to detail, effective communication, and self-motivation are essential soft skills for excelling in a remote and time-sensitive environment. These abilities ensure accurate defect identification, efficient teamwork, and timely delivery of high-quality software products.

What is the difference between Seasonal Remote Software Testing vs Remote QA Tester?

AspectSeasonal Remote Software TestingRemote QA Tester
CredentialsBasic software testing knowledge, certifications optionalSimilar credentials, often includes ISTQB or similar certifications
Work EnvironmentRemote, project-based, seasonal workloadRemote, ongoing or project-based testing roles
Industry UsageUsed in software development, gaming, e-commerceCommon in software, app development, and tech companies
Search & Comparison IntentLooking for short-term, seasonal testing rolesSeeking ongoing or freelance testing opportunities

Seasonal Remote Software Testing involves short-term, project-based testing roles often tied to specific product launches or updates. Remote QA Testers typically perform ongoing quality assurance tasks across various projects. While both roles require similar skills and certifications, seasonal testing is temporary, whereas QA testing can be continuous or freelance. Understanding these differences helps job seekers find roles that match their availability and career goals.

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

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

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

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

What cities in Georgia are hiring for Seasonal Remote Software Testing jobs?

Cities in Georgia with the most Seasonal Remote Software Testing job openings:

Seasonal Remote Software Testing jobs near you
Infographic showing various Seasonal Remote Software Testing job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Test Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 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.

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