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Human Ai Collaboration Jobs (NOW HIRING)

Human-AI Collaboration Systems: Design the balance between automation and human oversight, including escalation paths, workspace tools, auditability, and safety controls. * Customer Discovery ...

Human-AI Collaboration Systems: Design the balance between automation and human oversight, including escalation paths, workspace tools, auditability, and safety controls. * Customer Discovery ...

Senior Technical Program Manager

New York, NY · On-site

$164K - $184K/yr

  • Retirement

You'll drive initiatives spanning the Asana Work Management Platform which enables human-AI collaboration workflows, partnering with teams across R&D and the business to deliver exceptional customer ...

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Human Ai Collaboration information

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$45.5K

$80.3K

$117K

How much do human ai collaboration jobs pay per year?

As of Aug 17, 2026, the average yearly pay for human ai collaboration in the United States is $80,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $89,000.00 per year, depending on experience, location, and employer.

What is human AI collaboration?

Human-AI Collaboration refers to the process where humans and artificial intelligence systems work together to achieve shared goals or solve problems. In this partnership, AI assists with data analysis, automation, and decision-making, while humans provide context, creativity, and ethical judgment. The goal is to leverage the strengths of both humans and machines, resulting in more effective outcomes than either could achieve alone. Human-AI Collaboration is increasingly important in fields such as healthcare, finance, and manufacturing, where complex tasks benefit from both human intuition and AI efficiency.

What are the key skills and qualifications needed to thrive in human AI collaboration roles?

Success in Human-AI Collaboration roles requires a strong understanding of both AI technologies and human-centered design, often supported by education in computer science, data analysis, or related fields. Familiarity with AI platforms, collaborative tools, and programming languages such as Python or R, as well as knowledge of machine learning frameworks, is typically expected. Exceptional communication, adaptability, and problem-solving skills help professionals bridge the gap between technical teams and non-technical stakeholders. These abilities are crucial for creating effective, user-friendly AI solutions that address real-world needs and ensure productive synergy between humans and machines.

How does a human AI collaboration specialist typically work with cross-functional teams to integrate AI solutions into existing workflows?

A Human AI Collaboration specialist plays a crucial role in bridging the gap between technical AI teams and non-technical stakeholders. They work closely with data scientists, software engineers, and business units to understand workflow requirements and identify areas where AI can add value without disrupting current processes. Collaboration often involves facilitating workshops, gathering user feedback, and iteratively refining AI-driven tools to ensure they are user-friendly and aligned with organizational goals. This role requires strong communication skills and adaptability, as specialists must translate complex AI concepts into actionable solutions for diverse teams.

How to become a human AI collaboration designer?

To become a human AI collaboration designer, develop skills in human-computer interaction, AI technologies, and user experience design. Gaining experience with tools like machine learning frameworks and earning relevant certifications can enhance your qualifications for designing effective human-AI interfaces.
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What cities are hiring for Human Ai Collaboration jobs?

Cities with the most Human Ai Collaboration job openings:

What states have the most Human Ai Collaboration jobs?

States with the most job openings for Human Ai Collaboration jobs include:

Infographic showing various Human Ai Collaboration job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 29% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $80,289 per year, or $38.6 per hour.

Sr. Principal Scientist, Secure Work Enablement

Amazon

Seattle, WA • On-site

Full-time

Re-posted 13 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,093 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

At Secure Work Enablement (SWE), we're pioneering breakthrough AI technologies that are fundamentally transforming how millions of teams and businesses work. Our mission combines leading machine learning research with Amazon's unparalleled expertise in enterprise computing and security to create the next generation of intelligent workplace solutions.
Our portfolio encompasses four innovative domains where applied AI research is critical: Next-Generation End User Computing, where we're developing novel machine learning models for human-AI collaboration; Amazon One's advanced biometric systems; Secure Collaboration platforms Wickr and Chime; and Gaia - our revolutionary AI-native workspace that's redefining human-AI agent interactions. Each area presents unique opportunities for advancing the state-of-the-art in machine learning, natural language processing, and AI systems.
We're at an inflection point where traditional workplace computing is being revolutionized by AI technologies

Our distinctive challenge lies in solving complex machine learning problems at scale while maintaining strict security requirements - from developing sophisticated ML models for secure information access to creating intelligent systems that can understand and enhance human productivity in real-time.
With an accomplished team of 650+ technologists and multiple tier-1 services, we're seeking a Senior Principal Scientist to spearhead our AI research and development initiatives. This role offers the opportunity to tackle unprecedented challenges in applied machine learning, including:
- Developing novel AI architectures for secure, enterprise-grade collaborative systems
- Advancing the science of human-AI interaction in workplace environments
- Creating new frameworks for AI agent orchestration and optimization
- Pioneering new approaches to privacy-preserving machine learning
Your scientific leadership will be crucial in defining and solving complex AI problems that will shape the future of work for years to come, working across multiple research teams and beyond SWE's boundaries.
Key job responsibilities
As a Senior Principal Scientist in Secure Work Enablement (SWE), you will have deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables

You will invent new product experiences that enable teams and agents to collaborate effectively. You will have the opportunity to invent new approaches that help our customers achieve better results using natural language as the interface. Your inputs will shape the future of work.
You will liaise with internal Amazon partners and work on bringing state-of-the-art LLM/GenAI models to production

You will stay abreast of the latest developments in the field of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our business, driven by our customer's needs, and translate it into actionable plans for our team of applied scientists, and engineers. Finally, you will work with academic partners to support our in-house talent with direct access to leading research and mentoring.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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