2

Generative Ai Entry Level Jobs (NOW HIRING)

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

next page

Showing results 1-20

Generative Ai Entry Level information

See salary details

$15

$22

$29

How much do generative ai entry level jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for generative ai entry level in the United States is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

How to start a career in Generative AI?

To start a career in Generative AI, develop a strong foundation in programming languages like Python, learn machine learning and deep learning concepts, and gain experience with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects, staying updated with research, and obtaining relevant certifications can also improve job prospects in this field.

What types of projects do entry-level professionals in Generative AI typically work on, and how do they contribute to larger team goals?

As an entry-level professional in Generative AI, you may work on tasks such as data preprocessing, model training, and evaluating the performance of generative models. You'll often collaborate with researchers, data scientists, and software engineers to support more complex projects, such as developing new text or image generation tools. Your contributions help ensure data quality and model accuracy, and you may also assist in documenting results and preparing presentations. This collaborative environment allows you to learn from experienced colleagues while building foundational skills for future growth.

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

To thrive as a Generative AI Entry Level professional, you need a basic understanding of machine learning concepts, Python programming, and a relevant degree such as computer science or data science. Familiarity with tools like TensorFlow, PyTorch, and version control systems, as well as exposure to cloud platforms, is typically expected. Strong problem-solving abilities, eagerness to learn, and the ability to communicate technical information clearly help individuals stand out in this role. These skills and qualities are crucial to effectively contribute to AI projects, adapt to rapidly evolving technologies, and collaborate within technical teams.

What does a Generative AI Entry Level professional do?

A Generative AI Entry Level professional assists in developing, training, and testing artificial intelligence models that can create new content, such as text, images, or audio. They often work with large datasets, help fine-tune AI models, and support more senior engineers in implementing machine learning algorithms. Typical tasks include data preprocessing, running experiments, evaluating model outputs, and documenting results. This role is ideal for those new to the AI field and looking to gain hands-on experience in generative technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions in tech companies. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level usually includes base salary, bonuses, and stock options, reflecting the value and impact of the position within the organization.

Are there any entry-level AI jobs?

Yes, there are entry-level AI jobs such as AI analyst, data labeler, and junior machine learning engineer. These roles often require foundational knowledge of programming, data analysis, and familiarity with AI tools like Python or TensorFlow, making them accessible to recent graduates or those new to the field.

How do I get a job in AI with no experience?

Entry-level AI roles, such as those involving generative AI, often require foundational skills in programming (Python is common), understanding of machine learning concepts, and familiarity with AI frameworks like TensorFlow or PyTorch. Gaining experience through online courses, tutorials, personal projects, and internships can help build a portfolio that demonstrates your abilities to employers.
More about Generative Ai Entry Level jobs
What cities are hiring for Generative Ai Entry Level jobs? Cities with the most Generative Ai Entry Level job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Generative Ai Entry Level jobs? States with the most job openings for Generative Ai Entry Level jobs include:
What job categories do people searching Generative Ai Entry Level jobs look for? The top searched job categories for Generative Ai Entry Level jobs are:
Associate Account Executive , Enterprise

Associate Account Executive , Enterprise

Amazon

Austin, TX

Full-time

Re-posted 7 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,956 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

This is not your typical entry-level sales role - it's a launchpad.
At Amazon, our peculiar culture and obsession with delighting customers extends to everything we do, including what we call our teams. While the industry knows this role as a SDR, BDR, Associate Account Executive, Amazon's customer-first DNA means we call our team members "Customer Acquisition Representatives" (CARs). It's more than a name, it reflects our belief that every interaction should start and end with the customer

As a CAR, you'll accelerate pipeline growth, navigate complex customer landscapes, shift gears between strategic thinking and high-impact execution, and put customers in the driver's seat of their cloud journey. Every CAR needs fuel, yours will be curiosity, coaching, and the full support of the world's leading cloud platform.
As a CAR, you will take the lead in unlocking growth potential for both new and existing AWS customers. We are one of the principal sources of new pipeline that fuels the AWS engine - engaging the unengaged accounts and contacts to drive pipeline that turns into revenue

Using cutting-edge AI tools and data-driven insights, you'll identify whitespace opportunities and develop innovative strategies to reach unengaged accounts at scale. You'll be part of shaping how technology is deployed across thousands of organizations, from enabling rapid, individually customized cancer treatments to helping Fortune 500 companies meet their carbon emissions goals. The AWS technology stack is the backbone of some of the most innovative solutions to the world's most pressing problems.
Your career path is clear

This role is designed as the entry point into AWS's North American sales organization. We don't need the perfect candidate, but we do want people who are curious, coachable, and willing to learn. We've developed hundreds of early-career professionals into full cycle sellers as Cloud Sales Representatives (CSRs), many within 18-24 months.

You'll be paired with mentors and have access to structured development programs that accelerate your growth from day one.
According to Gartner, AWS is the leading cloud provider in both ability to execute and completeness of vision. With only 5% of all IT spend in the cloud, we are still in the early stages of what is possible, and with the explosion of generative AI, the opportunity has never been larger. You'll be at the forefront, equipped with the most advanced AI-powered sales technology in the industry

Consider this your pit crew advantage - the tools, training, and teammates that keep you performing at your best.
Key job responsibilities
Partner closely with Account Teams to develop a deep understanding of the primary industries, accounts, and personas within your territories - building relationships from technical admins to Line of Business executives.
Lead top-of-funnel activity: conduct high-quality account research and source net-new contacts at scale to execute high-volume prospecting, lead qualification, and opportunity generation across your assigned territories.
Drive net-new business via customer acquisition by leveraging one-to-one and one-to-many outbound campaigns, in addition to qualifying leads from marketing and partner channels.
Expand services breadth and consumption within your existing customer base via account planning and territory management.
Deliver results against input and output goals, including: contacts sourced, leads qualified, customer calls completed, meetings scheduled, and opportunities created and launched.
Leverage AI-powered sales intelligence platforms, predictive analytics, and automation tools to identify high-propensity accounts, prioritize outreach, and optimize pipeline development in Salesforce.
Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic workflows, and advanced personalization engines - you'll be on the cutting edge of how AI transforms B2B sales, continuously testing and iterating on new approaches to reach unengaged accounts.
Collaborate with teammates to share best practices, contribute to team learning, and collectively raise the bar for customer engagement.
We know great candidates don't always check every box. If you're excited about this role but your experience doesn't perfectly match, we encourage you to apply.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional


Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US