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Amazon Remote Jobs in Mount Pleasant, SC (NOW HIRING)

Amazon Remote information

See Mount Pleasant, SC salary details

$9

$30

$65

How much do amazon remote jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for amazon remote in Mount Pleasant, SC is $30.50, according to ZipRecruiter salary data. Most workers in this role earn between $16.07 and $42.40 per hour, depending on experience, location, and employer.

What are Amazon remote jobs?

Amazon remote jobs are positions offered by Amazon that allow employees to work from home or another location outside of a traditional Amazon office. These jobs can be found in various departments, including customer service, human resources, software development, and more. Remote roles offer flexibility and the opportunity to work for Amazon without needing to relocate. Candidates typically need a reliable internet connection, a suitable workspace, and may need to reside in specific locations depending on the job requirements.

Is Amazon offering remote jobs?

Yes, Amazon offers remote job opportunities across various roles, including customer service, technical support, and corporate positions. Many of these jobs require strong communication skills and may involve flexible schedules or specific technical tools. Remote positions are available in multiple regions, depending on the role and location requirements.

Does Amazon give remote jobs?

Amazon offers a variety of remote jobs across different departments, including customer service, technical support, and corporate roles. These positions often require strong communication skills and may involve using specific tools or software, with some roles offering flexible schedules. Remote opportunities are available to qualified candidates who meet the job requirements.

Is Amazon currently hiring remote jobs?

Amazon regularly offers remote job opportunities across various roles, including customer service, IT, and administrative positions. These jobs often require specific skills, experience, and sometimes certifications, and they are available through Amazon's careers website. Availability can vary based on location and current hiring needs.

How to make $1000 a week remote?

To make $1000 a week remotely in roles like Amazon remote positions, you typically need to work full-time hours, often 40 hours per week, at a pay rate of around $25 per hour or higher. Gaining relevant skills, certifications, and experience can help qualify for higher-paying roles such as customer service, technical support, or specialized positions within Amazon's remote workforce.

How to make $1000 a week remote?

Remote Amazon roles, such as customer service or virtual support positions, can pay between $15 and $25 per hour, making it possible to earn around $1000 weekly with full-time hours. To reach this income, focus on developing strong communication skills, familiarity with Amazon's systems, and maintaining consistent work hours, often requiring a reliable internet connection and relevant experience or certifications. Earning $1000 a week typically involves working 40 or more hours, depending on the pay rate.

What are the main challenges of working in a remote position at Amazon and how does the company support remote employees?

One of the main challenges of working remotely at Amazon is staying connected with your team and maintaining effective communication across different time zones or departments. Amazon addresses this by providing robust collaboration tools, regular virtual meetings, and clear documentation processes. Additionally, remote employees have access to training resources, mentorship programs, and virtual events to foster professional growth and inclusion. The company encourages proactive communication and offers various support channels to help remote workers balance productivity and well-being.

What are the key skills and qualifications needed to thrive as an Amazon Remote employee, and why are they important?

To thrive as an Amazon Remote employee, you typically need strong problem-solving abilities, time management, and relevant experience in your field, often supported by a high school diploma or higher. Familiarity with Amazon's internal tools, customer service platforms, and collaboration software such as Amazon Connect and Slack is often required, depending on the role. Excellent communication, self-motivation, and the ability to work independently are critical soft skills for remote success. These skills and qualifications ensure productivity, effective teamwork, and high-quality service delivery in a virtual work environment.

How much does Amazon remote pay?

Amazon remote jobs typically pay between $15 and $30 per hour, depending on the role, experience, and location. Common positions include customer service, technical support, and data entry, often requiring strong communication skills and the ability to work independently in a home environment.

What is the difference between Amazon Remote vs Amazon Customer Service Associate?

AspectAmazon RemoteAmazon Customer Service Associate
Required CredentialsHigh school diploma or equivalent; sometimes college experienceHigh school diploma or equivalent
Work EnvironmentRemote, home-basedRemote, home-based or call center
Employer & Industry UsageAmazon's remote workforce across various rolesAmazon's customer support teams
Common Search & ComparisonYesYes

Amazon Remote roles typically involve a variety of positions that can be performed from home, often requiring specific skills or experience. Amazon Customer Service Associates focus specifically on customer support, handling inquiries and resolving issues remotely or in call centers. Both roles are part of Amazon's remote workforce, but they differ in responsibilities and sometimes in required credentials.

How much does Amazon remote pay?

Amazon remote jobs typically pay between $15 and $30 per hour, depending on the role, experience, and location. Customer service and technical support positions are common remote roles with wages within this range, often with opportunities for bonuses or benefits. Compensation can vary based on the specific job requirements and the employee's skill set.

Do Amazon do remote jobs?

Amazon offers a variety of remote jobs across different departments, including customer service, technical support, and corporate roles. These positions often require specific skills, such as communication or technical proficiency, and may involve flexible schedules or home office setups.
What are the most commonly searched types of Amazon jobs in Mount Pleasant, SC? The most popular types of Amazon jobs in Mount Pleasant, SC are:
What are popular job titles related to Amazon Remote jobs in Mount Pleasant, SC? For Amazon Remote jobs in Mount Pleasant, SC, the most frequently searched job titles are:
What job categories do people searching Amazon Remote jobs in Mount Pleasant, SC look for? The top searched job categories for Amazon Remote jobs in Mount Pleasant, SC are:
What cities near Mount Pleasant, SC are hiring for Amazon Remote jobs? Cities near Mount Pleasant, SC with the most Amazon Remote job openings:
Infographic showing various Amazon Remote job openings in Mount Pleasant, SC as of July 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $63,441 per year, or $30.5 per hour.
Senior AI Solutions Architect (Remote Opportunity)

Senior AI Solutions Architect (Remote Opportunity)

VetsEZ

Charleston, SC โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 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.

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.

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

Employment Type: FULL_TIME