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Entry Level Amazon Ai Jobs (NOW HIRING)

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... entry-level candidates with relevant experience or projects) > * Comfort working with physical ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

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All JobsEntry Level Amazon Ai Jobs

Entry Level Amazon Ai information

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$24K

$104.9K

$189K

How much do entry level amazon ai jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level amazon ai in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Amazon AI professional, and why are they important?

To thrive as an Entry Level Amazon AI professional, you generally need a bachelor's degree in computer science, data science, or a related field, along with a solid understanding of programming languages like Python and machine learning fundamentals. Familiarity with cloud platforms such as AWS, version control systems like Git, and frameworks such as TensorFlow or PyTorch is typically expected. Critical thinking, problem-solving, and strong communication skills help you collaborate effectively and translate complex technical concepts for diverse teams. These competencies enable you to contribute to innovative AI solutions and support Amazon’s fast-paced, technology-driven environment.

What types of projects do entry-level professionals in Amazon AI typically work on, and how are these projects structured within the team?

Entry-level professionals in Amazon AI often contribute to projects such as building and refining machine learning models, supporting data preprocessing, and assisting with the deployment of AI-driven features within Amazon's products. These projects are usually collaborative, with team members working closely with data scientists, software engineers, and product managers. Entry-level employees are encouraged to participate in team meetings, code reviews, and brainstorming sessions, allowing them to learn best practices and gain exposure to various aspects of AI development. This setup provides a strong foundation for career growth and skill development.

What are Entry Level Amazon AI jobs?

Entry Level Amazon AI jobs are positions at Amazon that involve working with artificial intelligence technologies, typically requiring minimal prior professional experience in the field. These roles may include tasks such as data annotation, model evaluation, or assisting in the development and testing of AI models and tools. Candidates are usually expected to have a foundational understanding of AI concepts, programming skills (such as Python), and a willingness to learn on the job. These positions are ideal for recent graduates or those looking to start a career in AI at a leading tech company.

What is the difference between Entry Level Amazon Ai vs Entry Level Data Analyst?

AspectEntry Level Amazon AiEntry Level Data Analyst
Required CredentialsBasic understanding of AI, machine learning, programming (Python, SQL)Statistics, data analysis, Excel, SQL
Work EnvironmentTech-focused, collaborative teams within AmazonOffice or remote, data-driven departments
Employer & Industry UsageAmazon, e-commerce, tech industryVarious industries including finance, healthcare, retail
Common Search & Comparison IntentUnderstanding entry-level roles in AI at AmazonEntry-level data analysis roles

Entry Level Amazon Ai roles focus on foundational AI and machine learning skills within Amazon's tech environment, often requiring programming knowledge. Entry Level Data Analyst positions emphasize data interpretation and reporting skills across multiple industries. Both roles are entry-level but differ in technical focus and industry application.

More about Entry Level Amazon Ai jobs
What cities are hiring for Entry Level Amazon Ai jobs? Cities with the most Entry Level 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 Entry Level Amazon Ai jobs? States with the most job openings for Entry Level Amazon Ai jobs include:
What job categories do people searching Entry Level Amazon Ai jobs look for? The top searched job categories for Entry Level Amazon Ai jobs are:
Entry Level Amazon Ai jobs near you
Infographic showing various Entry Level Amazon Ai job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Cloud Tech Project Manager

MegazoneCloud US

Irvine, CA • On-site

Full-time

Posted 11 days ago

Job description

Job Summary:
MegazoneCloud is seeking a Cloud Tech Project Manager – Associate to support and coordinate cloud migration, modernization, and transformation initiatives across North America. This role provides an opportunity to grow into a fully independent project manager while contributing to project planning, execution, and delivery in partnership with clients and internal technical teams.
Responsibilities:
• Support planning and execution of cloud projects or defined workstreams within larger programs.
• Assist with developing and maintaining schedules, milestones, deliverables, and dependencies using tools such as JIRA, Confluence, Asana, MS Project, or Smartsheet.
• Coordinate meetings, document decisions, track action items, and facilitate clear communication across onshore/offshore teams.
• Prepare project updates, track risks and issues, and assist in producing management-level reports and presentations.
• Translate business and technical requirements into structured tasks for delivery teams.
• Monitor progress, identify blockers, and escalate concerns as needed to senior project managers or technical leads.
• Apply basic cloud delivery concepts (Lift & Shift, Re-platforming, Refactoring) under guidance.
Qualifications:
Required:
• 1–3 years of relevant experience in IT project coordination, cloud project delivery, or technical program support.
• Demonstrated ability to manage timelines, deliverables, and cross-team communication.
• Experience working with project management frameworks and supporting medium-scale initiatives.
• Foundational understanding of cloud platforms (AWS, Azure, or GCP) and cloud delivery methodologies.
• At least one entry-level cloud certification (e.g., AWS Solutions Architect – Associate, Azure Administrator – Associate, or GCP Associate Cloud Engineer) or willingness to obtain within 3–6 months.
• Familiarity with Agile/Scrum, Kanban, and Hybrid/Waterfall methodologies.
• Strong organizational, documentation, and problem-solving skills.
• Proficiency with collaboration tools such as MS Office/Google Workspace, JIRA, Confluence, Asana/Trello, Smartsheet, Miro/Figma, Slack/Teams.
• Strong interpersonal and communication skills with the ability to engage confidently with internal teams and customers.
• General awareness of IT/cloud compliance and security standards (SOC 2, ISO 27001, HIPAA, PCI-DSS).
Preferred:
• Practical exposure to cloud environments or cloud-related projects.
• Project management certifications (CAPM, PMP, Agile, or equivalent).
• Scrum/Agile certifications (CSM/PSM, CSPO/PSPO) or experience in scaled Agile environments (SAFe).
• Associate or Professional-level cloud certifications (AWS, Azure, or GCP).
• Familiarity with DevOps and CI/CD tools such as GitHub, GitLab, or Azure DevOps.
• Understanding of networking, security fundamentals, and system administration (Windows/Linux).
• Experience working in multi-regional, cross-cultural teams.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI- Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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