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Amazon Tester information

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$10

$36

$58

How much do amazon tester jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for amazon tester in Ladson, SC is $36.05, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $47.69 per hour, depending on experience, location, and employer.

What is an Amazon tester?

An Amazon Tester job typically involves receiving and reviewing products sold on Amazon in exchange for honest feedback. Testers may evaluate product quality, functionality, and overall usability before sharing their opinions through reviews or private reports. Some programs are official, while others may involve third-party sellers looking for feedback. It's important to follow Amazon's guidelines, as incentivized or fake reviews violate their policies. Always ensure you are participating in legitimate testing programs to avoid potential issues.

What types of products or systems would I typically test as an Amazon tester?

As an Amazon Tester, you may be responsible for testing a wide variety of products and systems, depending on your specific team and project. These can range from web applications, mobile apps, and backend services to hardware devices like Kindle or Echo. Your daily tasks might include developing test cases, executing manual or automated tests, logging defects, and collaborating with developers and product managers to ensure issues are resolved efficiently. The diversity of products keeps the role dynamic and offers ample opportunities to learn and grow your expertise in different technical domains.

What are the key skills and qualifications needed to thrive in the Amazon tester position, and why are they important?

To thrive as an Amazon Tester, you need a solid understanding of software quality assurance principles, attention to detail, and experience with manual and automated testing processes, typically supported by a degree in computer science or a related field. Familiarity with testing tools such as Selenium, Jira, and Amazon's internal testing platforms, as well as ISTQB certification, can be advantageous. Strong analytical skills, effective communication, and the ability to work collaboratively within cross-functional teams are essential soft skills. These abilities ensure thorough product evaluation, efficient identification of bugs, and contribute to high-quality customer experiences on Amazon’s platforms.

How do you become an Amazon tester?

To become an Amazon tester, you typically need to apply through Amazon's testing programs or platforms that offer product testing opportunities. Relevant skills include attention to detail and good communication, and some roles may require completing online surveys or providing feedback on products or services.

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Amazon Tester jobs near you
Infographic showing various Amazon Tester job openings in Ladson, SC as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $74,988 per year, or $36.1 per hour.

Senior AI Solutions Architect (Remote Opportunity)

VetsEZ

Charleston, SC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.
Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.
Responsibilities:
  • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.
  • Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.
  • Evaluate AI technologies, services, and frameworks to support current and future project needs.
  • Ensure architecture supports approved future phases without expanding the authorized MVP scope.
  • Design AI solutions leveraging Amazon Bedrock and AWS cloud services.
  • Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.
  • Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.
  • Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.
  • Optimize AI architectures for scalability, operational cost, reliability, and response time.
  • Collaborate with DevSecOps teams to support deployment automation and operational readiness.
  • Design integration between AI services and existing enterprise healthcare applications.
  • Define secure interfaces utilizing REST APIs and modern integration patterns.
  • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.
  • Collaborate with application development teams to integrate AI capabilities into clinician workflows.
  • Promote consistent architecture patterns and engineering best practices across JLV development teams.
  • Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.
  • Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.
  • Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.
  • Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.
  • Serve as the technical leader for AI architecture across the JLV contract.
  • Mentor software engineers and provide architectural guidance throughout the software development lifecycle.
  • Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.
  • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.
  • Present technical approaches and architectural recommendations to Government leadership and stakeholders.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 10+ years designing enterprise software solutions.
  • 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.
  • Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.
  • Experience leading technical architecture across multidisciplinary engineering teams.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering, source-grounded AI evaluation, and hallucination testing
  • Vector databases, embeddings, and semantic search
  • REST APIs and enterprise integration
  • Cloud architecture and distributed systems
  • DevSecOps and CI/CD
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:
  • Strong understanding of enterprise architecture principles and cloud-native application design.
  • Experience balancing AI performance, scalability, security, explainability, and operational cost.
  • Excellent analytical, architectural, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

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, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

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.
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