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How much do full time artificial general intelligence jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for full time artificial general intelligence in the United States is $46.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $40.14 per hour, depending on experience, location, and employer.

What is a Full Time Artificial General Intelligence (AGI) job?

A Full Time Artificial General Intelligence (AGI) job typically involves working on the research, development, and deployment of AI systems that possess general cognitive abilities similar to those of humans. Professionals in this field focus on creating machines that can perform a wide range of intellectual tasks, learn from experience, and adapt to new situations without specific programming. Such positions may include roles in research, engineering, ethics, and safety, and are often found at AI research institutions or leading technology companies. AGI roles require strong backgrounds in machine learning, computer science, mathematics, and sometimes neuroscience or philosophy.

Which AI job is high paying?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer higher salaries due to their specialized skills and demand in industries like technology, finance, and healthcare.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial general intelligence or advanced AI research that offers a compensation package of around $900,000 annually. Such roles often require extensive expertise in machine learning, deep learning, and AI development, along with leadership skills and advanced degrees. These positions are rare and usually found in top tech companies or research institutions working on cutting-edge AI projects.

What's the easiest AI job to get?

Entry-level AI roles such as AI data labelers or junior machine learning assistants are generally the easiest to obtain, often requiring basic programming skills and familiarity with tools like Python or data annotation platforms. These positions typically have lower experience requirements and serve as stepping stones into more advanced AI careers.

What is the difference between Full Time Artificial General Intelligence vs Machine Learning Engineer?

AspectFull Time Artificial General IntelligenceMachine Learning Engineer
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; strong research backgroundDegree in Computer Science, Data Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development companies, academiaTech companies, startups, research institutions
Industry UsageDeveloping general-purpose AI systems capable of understanding and learning across tasksDesigning and deploying machine learning models for specific applications

Full Time Artificial General Intelligence roles focus on creating versatile AI systems with broad understanding, often requiring advanced research skills. Machine Learning Engineers implement specific algorithms and models for targeted tasks. While both roles involve AI, they differ in scope, credentials, and work environment.

Which 3 jobs will survive AI?

Full Time Artificial General Intelligence roles are likely to persist in areas requiring complex problem-solving, creativity, and emotional intelligence, such as research scientists, healthcare professionals, and strategic managers. These jobs demand skills that are difficult for AI to fully replicate, including critical thinking, empathy, and adaptability. Continuous learning and specialized expertise will remain valuable in these fields.

What are the key skills and qualifications needed to thrive as a Full Time Artificial General Intelligence (AGI) professional, and why are they important?

To thrive as a professional working in the field of Artificial General Intelligence (AGI), you need a strong background in computer science, mathematics, and machine learning, typically backed by an advanced degree. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python or C++), and experience with large-scale computing systems are essential. Critical thinking, creativity, and collaborative skills help professionals tackle novel problems and innovate in this rapidly evolving field. These capabilities are crucial for advancing AGI research and ensuring responsible, effective development of intelligent systems.

What are some common challenges faced by professionals working in Artificial General Intelligence (AGI) roles?

Professionals in AGI roles often encounter challenges such as defining clear research objectives in a rapidly evolving field, staying updated with interdisciplinary advancements, and working with limited datasets that accurately represent general intelligence. The complexity of AGI projects requires frequent collaboration across teams in machine learning, neuroscience, and ethics, which can make communication and alignment on goals challenging. Additionally, the abstract nature of AGI outcomes means progress can be difficult to measure, requiring patience and adaptability from team members.
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Full Time Artificial General Intelligence jobs near you
Infographic showing various Full Time Artificial General Intelligence job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,229 per year, or $46.3 per hour.
Contract Manager, Artificial General Intelligence

Contract Manager, Artificial General Intelligence

Amazon

Seattle, WA

$101K - $135K/yr

Full-time

Posted 9 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,856 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Join Amazon's legal team supporting Amazon's Artificial General Intelligence (AGI) organization, where you'll be part of a dynamic team helping shape the future of AI and developing state-of-the-art foundation models and AI agents.Amazon's Legal Department is looking for a talented and tech savvy Contracts Manager to support our rapidly evolving AGI business. You will help us grow our business and scale by leading contract workstreams, supporting compliance and data functions, working with cross-functional teams, and driving optimization and simplification of workflows, contracts, and processes across the AGI legal team.
To be successful in this role, you'll need to demonstrate an understanding of compliance and contracting support, product counseling and related technology and business considerations. You will also need sound judgment, have excellent written and oral communication skills, and an aptitude for technology (especially incorporating AI into process simplifications) and how it can be used achieve operational efficiency

Flexibility, sharp organizational skills, a self-starting work ethic, and a passion for simplification are desired.
Key job responsibilities
- Develop and drive continuous process improvement and simplification using AI
- Serve as a point of contact and subject matter expert for cross-functional teams.
- Supporting critical functions including data strategy and regulatory compliance
- Support commercial transactions, oversee contracts database and develop business facing guidance and SOPs
Your responsibilities may also include working with the business to review marketing collateral and other customer-facing and press messaging; creating and implementing tools for our team and for cross-department initiatives; and serving as point of contact and subject matter expert for outside counsel and internal Amazon initiatives.
About the team
We are a global, collaborative legal team dedicated to pushing the boundaries of responsible AI development. Our work impacts how transformative technologies are created and deployed, making each team member a crucial architect of the future of artificial intelligence.

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About Amazon

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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

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