ZipRecruiter

Log In

2

Remote Amazon Ai Jobs (NOW HIRING)

Mondo

Amazon DSP, Sr Spec

Manhattan, NY · Remote

$35 - $40/hr

Remote (US Based) Start Date Is: ASAP Duration: 3 Month Contract (option to extend or convert ... Seek feedback, hone craft, embrace new tools and AI. * Clients grow, we grow: Lead with precision ...

New

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar technologies. · ...

Azumo

Data Scientist, Applied AI - Remote

The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ... Experience with cloud platforms ( AWS , GCP , or Azure ) and their AI-specific services like Amazon ...

next page

Showing results 1-20

All JobsAmazon Ai JobsRemote Amazon Ai Jobs

Remote Amazon Ai information

See salary details

$22K

$149.5K

$192.5K

How much do remote amazon ai jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote amazon ai in the United States is $149,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Amazon Ai vs Remote Data Scientist?

AspectRemote Amazon AiRemote Data Scientist
Required CredentialsAmazon certifications, AI/ML degreesStatistics, Computer Science degrees, certifications in data analysis
Work EnvironmentAmazon's cloud-based platforms, AI development teamsData analysis, modeling, and visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentFocus on AI development at AmazonFocus on data analysis and modeling roles

Remote Amazon Ai roles focus on developing AI solutions within Amazon's ecosystem, often requiring specific certifications and experience with Amazon's cloud platforms. Remote Data Scientists analyze data, build models, and generate insights across multiple industries. While both roles involve data and analytics, Amazon Ai positions are more specialized in AI/ML development within Amazon's infrastructure, whereas Data Scientists have broader industry applications.

How does a Remote Amazon AI specialist typically collaborate with cross-functional teams?

As a Remote Amazon AI specialist, you'll frequently work with diverse teams, such as software engineers, product managers, and data scientists, to develop and deploy AI-powered solutions. Collaboration usually happens through virtual meetings, shared documentation, and agile project management tools, ensuring alignment despite working remotely. Effective communication and proactive knowledge sharing are key, as you'll need to translate complex AI concepts for non-technical stakeholders and integrate feedback from various departments. This collaborative environment enables you to contribute to innovative projects and learn from experts in related fields.

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

To thrive as a Remote Amazon AI Specialist, you need strong expertise in machine learning, data analysis, programming (Python, Java, or similar), and a relevant degree in computer science or engineering. Familiarity with Amazon Web Services (AWS), SageMaker, AI/ML frameworks, and relevant AWS certifications are typically required. Excellent problem-solving, communication, and self-management skills set outstanding professionals apart in remote and collaborative environments. These competencies are crucial for designing, deploying, and optimizing AI solutions that drive business innovation and efficiency at scale.

What is a Remote Amazon AI job?

A Remote Amazon AI job refers to a position with Amazon where employees work from home or another remote location, focusing on artificial intelligence (AI) technologies. These roles may include research, development, deployment, or support of AI and machine learning solutions that power Amazon's products and services, such as Alexa, Amazon Web Services (AWS), and e-commerce. Typical job titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Working remotely allows employees to collaborate virtually using Amazon's internal tools while contributing to innovative AI projects.
More about Remote Amazon Ai jobs
What cities are hiring for Remote Amazon Ai jobs? Cities with the most Remote Amazon Ai job openings:
What are the most commonly searched types of Amazon Ai jobs? The most popular types of Amazon Ai jobs are:
What states have the most Remote Amazon Ai jobs? States with the most job openings for Remote Amazon Ai jobs include:
What job categories do people searching Remote Amazon Ai jobs look for? The top searched job categories for Remote Amazon Ai jobs are:
Remote Amazon Ai jobs near you
Infographic showing various Remote Amazon Ai job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $149,544 per year, or $71.9 per hour.
Senior Software Product Engineer (Remote Opportunity)

Senior Software Product Engineer (Remote Opportunity)

VetsEZ

Dallas, TX • Remote

$121K - $159K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

VetsEZ is seeking a highly skilled Senior Software Product Engineer for a 100% remote position on a large federal government project. This role will lead the design and development of complex systems that automate workflows, support data-driven decision-making, and enhance healthcare technology platforms.

The ideal candidate is a highly experienced engineer with expertise in scalable cloud-native architectures, AI-enabled applications, and modern software engineering practices. This position will collaborate closely with engineering teams, product stakeholders, and technical leadership to deliver secure, reliable, and scalable solutions in a federal healthcare environment.

The candidate must reside within the continental US.

Responsibilities

  • Design and develop event-driven, data-intensive backend services using Node.js, TypeScript, AWS, and cloud-native technologies to support AI workloads at scale.
  • Architect and implement microservices-based solutions with clearly defined service boundaries, REST APIs, and asynchronous messaging patterns.
  • Lead the development and deployment of AI-enabled systems that process structured and unstructured data to support intelligent decision-making.
  • Drive Test-Driven Development (TDD) practices and maintain automated testing strategies across unit, integration, and contract testing.
  • Design scalable cloud-native architectures and distributed systems that support mission-critical healthcare applications.
  • Collaborate with product owners, engineers, and stakeholders to translate business requirements into production-ready technical solutions.
  • Evaluate emerging AI technologies, frameworks, and tools to support innovation, modernization, and long-term scalability.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
  • 6+ years of professional software engineering experience, including experience designing and deploying AI-enabled systems in production environments.
  • Experience implementing CI/CD pipelines, containerized deployments, and DevOps best practices.
  • Experience designing and developing microservices, REST APIs, and distributed systems.
  • Demonstrated experience applying Test-Driven Development (TDD) methodologies and automated testing practices.
  • Strong experience with React, Node.js, and TypeScript.
  • Experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar platforms.
  • Experience with AWS services including Amazon Aurora (PostgreSQL), ECS, SQS, S3, and related cloud-native technologies.
  • Experience building event-driven and data-intensive applications.
  • Experience with container technologies such as Docker and Kubernetes.
  • Proficiency with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
  • Strong problem-solving and analytical skills.
  • Excellent verbal and written communication skills.
  • Ability to lead technical discussions and influence engineering decisions.
  • Demonstrated ability to mentor engineers and promote engineering best practices.
  • Strong collaboration skills with cross-functional teams and stakeholders.

Additional Qualifications

  • Experience developing AI solutions within healthcare, federal government, or other regulated environments.
  • Familiarity with healthcare interoperability standards such as FHIR and HL7.
  • Experience with AI orchestration frameworks, agent-based architectures, or intelligent automation platforms.
  • Experience with PostgreSQL and Amazon Aurora data modeling and performance optimization.
  • Experience building asynchronous, message-driven workflows using Amazon SQS or comparable technologies.
  • Experience supporting Department of Veterans Affairs (VA) projects.
  • Ability to obtain and maintain a U.S. government clearance.

Benefits

  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) and Federal Holidays.
  • Corporate Laptop.
  • Professional Development and Training Opportunities.
  • 100% Remote Opportunity.

Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

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

Apply