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Remote Amazon Contractor Jobs in Washington, DC (NOW HIRING)

Cherokee Federal

Sr Cloud DevOps Engineer

Washington, DC · Remote

$150K - $175K/yr

C. (mostly client site with limited remote work options consistent with ATA's "Work from Anywhere" ... May operate on Amazon Web Services or Microsoft Azure clouds supported by FAA. * Must be proficient ...

New

Dark Wolf Solutions

Google Workspace Engineer

Herndon, VA · On-site +1

$70K - $135K/yr

Experience operating and maintaining systems on Google Cloud Platform (GCP), Amazon Web Services ... Knowledge of Google Apps Manager (GAM) This position will be a remote/hybrid role based out of ...

Cherokee Federal

Jr Cloud DevOps Engineer

Washington, DC · On-site +1

$69K - $80K/yr

C. (mostly client site with limited remote work options consistent with ATA's "Work from Anywhere" ... May operate on Amazon Web Services or Microsoft Azure clouds supported by FAA. * Must be proficient ...

New

UberEther, Inc

Engineering Manager

Sterling, VA · On-site +1

$180K - $200K/yr

Lead compliance engineering efforts across Amazon Web Services (AWS) GovCloud and commercial ... Previous experience in government contracting or federal consulting * Knowledge of CMMC ...

UBERETHER INC

Engineering Manager

Sterling, VA · Remote

Lead compliance engineering efforts across Amazon Web Services (AWS) GovCloud and commercial ... Previous experience in government contracting or federal consulting * Knowledge of CMMC ...

Apex Systems

Mid Level DevOps Engineer

Mclean, VA · Remote

$54 - $74/hr

Job#: 3034920 Apex Systems is looking for a fully remote Mid Level DevOps Engineer to support our ... Experience with Amazon AWS services and APIs, Microsoft Azure, or Google Cloud services Everforth ...

IonQ

Commodity Manager

College Park, MD · On-site +1

$84K - $110K/yr

... including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate ... We are open to hybrid and remote options for the right candidate. Travel: Up to 25% Job ID: 1518 ...

All JobsAmazon Contractor JobsRemote Amazon Contractor JobsRemote Amazon Contractor Jobs in Washington, DC

Remote Amazon Contractor information

Can I make $500 a week with Amazon Flex?

Amazon Flex contractors typically earn between $18 and $25 per hour, so making $500 a week is possible with consistent hours, usually around 20 to 30 hours. Earnings depend on location, delivery volume, and scheduling flexibility, and contractors are responsible for their own expenses and vehicle maintenance.

What is the difference between Remote Amazon Contractor vs Remote Amazon Virtual Assistant?

AspectRemote Amazon ContractorRemote Amazon Virtual Assistant
CredentialsMay require specific product knowledge or certificationsTypically requires basic administrative skills
Work EnvironmentIndependent, project-based tasksRemote, administrative support
Employer & Industry UsageAmazon sellers, agencies, or brandsAmazon sellers or agencies
Common TasksProduct listing, optimization, sourcingCustomer service, data entry, scheduling

Remote Amazon Contractors focus on specific project-based tasks like product listing and sourcing, often requiring specialized knowledge. In contrast, Remote Amazon Virtual Assistants handle administrative support, customer service, and general tasks. Both roles are remote and serve Amazon sellers or agencies, but they differ in skill requirements and daily responsibilities.

How does communication and collaboration typically work for remote Amazon contractors working with distributed teams?

Remote Amazon contractors usually collaborate with team members and managers across different time zones using digital tools such as Slack, Amazon Chime, and email. Regular virtual meetings, clear documentation, and prompt communication are essential for staying aligned on project goals and deadlines. Contractors are encouraged to proactively seek clarification and updates, as working remotely can sometimes lead to misunderstandings or information gaps. Building strong relationships with colleagues and participating in virtual team activities also help foster a sense of connection and support.

How much does Amazon pay remote workers?

Amazon contractors working remotely can earn varying wages depending on the role, with some positions paying around $15 to $20 per hour. Compensation may also include benefits such as flexible schedules and the use of company tools, but pay rates differ based on job type and experience level.

What is a Remote Amazon Contractor?

A Remote Amazon Contractor is an individual or business hired by Amazon on a contract basis to perform specific tasks or projects, often from home or any location outside of Amazon offices. These roles can include customer service, data entry, logistics coordination, IT support, and more, depending on Amazon’s needs. Contractors are not considered Amazon employees and typically work independently, following the terms outlined in their contract. They may be responsible for managing their own schedules and taxes, and do not usually receive employee benefits. This type of work offers flexibility and the opportunity to gain experience with one of the world’s largest companies.

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

To thrive as a Remote Amazon Contractor, you generally need strong organizational skills, attention to detail, and experience with e-commerce or Amazon Seller Central. Familiarity with tools such as Amazon Seller Central, Excel, and possibly project management or inventory software is typically required. Excellent communication, self-motivation, and problem-solving abilities are standout soft skills for remote collaboration and task management. These competencies ensure efficient workflow, accurate product management, and effective communication with clients or teams in a remote environment.

Does Amazon offer any remote jobs?

Yes, Amazon offers a variety of remote jobs, including roles in customer service, technical support, and corporate positions. These jobs often require strong communication skills and may involve working with Amazon's online platforms and tools, with flexible schedules in some cases.

How much do Amazon contractors get paid?

Amazon contractors' pay varies depending on the role and location, but they typically earn between $15 and $25 per hour. Compensation may also include bonuses or incentives, and some roles require specific skills or certifications. Pay rates can differ for seasonal, delivery, or warehouse positions.
What are the most commonly searched types of Amazon Contractor jobs in Washington, DC? The most popular types of Amazon Contractor jobs in Washington, DC are:
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Remote Amazon Contractor jobs near you
Artificial Intelligence (AI) Engineer - Backend Focus

Artificial Intelligence (AI) Engineer - Backend Focus

ExpediteInfoTech Inc

Rockville, MD • Remote

Other

Posted 9 days ago

Job description

Job Title: Artificial Intelligence (AI) Engineer - Backend Focus
Client: Federal Government
Location: Remote with occasional travel to the client site in Baltimore. Candidates must currently live within a commutable distance of the office.
Employment Type: W2 on ExpediteInfoTech's payroll. This position requires a Permanent resident or a U.S. citizen. The selected candidate will go through a Public Trust Clearance process.
About ExpediteInfoTech: ExpediteInfoTech is a trusted federal contractor focused on leveraging emerging technologies to modernize systems, enhance security, and drive operational efficiency across government agencies. We work with clients across AI/ML, RPA, Cloud, Enterprise Architecture, Cybersecurity, Health IT infrastructure, and Federal Financial systems-all delivered through a hands-on, collaborative, results-driven approach. Our core values are collaborative innovation, quality service, and exceeding expectations. https://expediteinfotech.com/)
Position Summary: A backend-focused AI engineer responsible for developing secure, scalable, and production-grade AI applications, with deep experience in LLM integration, retrieval-augmented generation (RAG) pipelines, including Graph-RAG, Agentic AI, and cloud-based LLM Ops workflows. The role emphasizes Amazon SageMaker Studio, ECS, ECR, lambdas, Agentic Core, APIs, OpenSearch Vector DB, and Dynamo DB for operationalizing GenAI-powered Digital Products within FedRAMP-compliant AWS environments.
Responsibilities:
AI Solution Development:
  • Expert hands-on building of RAG and Graph-RAG architectures to handle multiple complex data formats (PDF, images, tables, Word documents, Excel, acronyms, attachments, etc.) to create cleansed standardized data for hydration into a vector database.
  • Expert hands-on knowledge on text embeddings, image embeddings, chunking logic, metadata creation, and embedding vectors indexing.
  • Expert hands-on knowledge in creating a highly accurate RAG retrieval system with knowledge on reranking, semantic search, similarity search, hybrid search, etc., to search by text or images.
  • Implement secure, scalable, highly accurate RAG, Agentic AI pipelines using LangChain, Strands, MCP, A2A frameworks, or AWS-native services like Bedrock, Agentic Core, OpenSearch Vector Database, and Knowledgebase.
  • Create backend infrastructure for chatbot applications with long-term and short-term memory capabilities to improve user experience.
  • Hands-on knowledge of creating APIs, Graph-RAG, develop agentic AI workflows with MCPs, A2A, and Skills.
AI/ML Skills:
  • Experience operationalizing AI/ML pipelines in SageMaker Studio with model governance
  • Experience with Amazon - Bedrock, Agentic Core, OpenSearch Vector Database, knowledgebase, lambda, API Gateway, FASTAPIs or Flask, SQS, SNS, Step functions, DynamoDB, RDS/Postgres SQL, ECS, ECR, IAM, CloudWatch, and EKS or Fargate.
  • Frameworks: LangChain, LangFuse, LlamaIndex, Strands, RAGAS, CrewAI, MCP, and A2A.
  • Prompt engineering, LLM evaluation methodologies, bias detection, and hallucination detection.
LLM Integration & LLM Ops:
  • Integrate multiple LLMs via APIs (AWS Bedrock: Anthropic - Claude, Titan, Llama, Stability Diffusion models)
  • Implement structured prompt engineering frameworks, response evaluation tools, and feedback loops
  • Build model optimization layers, including prompt selectors, model switchers, and cache layers
Cloud Infrastructure & Deployment:
  • Deploy AI services using SageMaker, ECS, Lambdas, Agentic Core, and Elastic Load Balancers
  • Containerize backend systems with Docker and deploy to scalable environments using ECS/EKS
  • Implement CI/CD pipelines via GitHub Actions integrated with AWS Systems Manager and CodePipeline
  • Architect solutions for VPC isolation, IAM hardening, and FedRAMP High compliance
System Integration & Maintenance:
  • Integrate AI workflows with enterprise databases, legacy platforms, and identity providers
  • Monitor service performance, GPU utilization, and system health via CloudWatch and custom logging
  • Build automated testing pipelines for model accuracy, bias detection, and system robustness
  • Maintain technical documentation and developer runbooks for long-term system support
Work Environment:
  • Remote-first with collaborative engagements and occasional client travel
  • Mission-focused development aligned with executive priorities
  • Continuous learning and rapid prototyping of cutting-edge AI technologies
  • Agile delivery culture with strong cross-functional collaboration
Required:
Required / Minimum Qualifications
  • 10+ years of IT experience.
  • 3+ years of experience as an AI Engineer
  • 3+ years of experience in AWS
  • AWS Services: Graph RAG, Bedrock Agentic Core, Agentic AI, EC2 (GPU-enabled), SageMaker (Studio, Pipelines, Endpoints, Model Registry), Bedrock, OpenSearch Vector DB, Systems Manager, Load Balancers, Amazon - Bedrock, OpenSearch Vector Database, knowledgebase, lambda, API Gateway, FASTAPIs or Flask, SQS, SNS, Step functions, DynamoDB, RDS/Postgres SQL, and EKS or Fargate
  • Proficient in coding: Python (async, FastAPI, LangChain, Transformers) and Terraform
  • DevSecOps: Docker, GitHub, GitHub Actions, CI/CD pipelines
  • Cloud-Native Development: Infrastructure-as-Code, cloud monitoring, and security policies
Preferred:
Preferred / Nice-to-Have Qualifications
  • Experience with React or other frontend frameworks for full-stack AI interfaces (Streamlit, ReactJS, JavaScript, Typescript, HTML, and CSS)
  • Government/federal sector AI solution experience with FedRAMP High or FISMA
  • Bachelor's or equivalent in Computer Science, Software Engineering, AI/ML, or related technical field
  • AWS certifications (Machine Learning Specialty, Solutions Architect) a strong plus
  • Experience using AI coding assistant tools like OpenAI Codex and Claude Code.

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