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How much do human ai collaboration jobs pay per year?

As of Aug 16, 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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Human Ai Collaboration jobs near you
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.

Postdoctoral Research Fellow, Department of Information, Risk, and Operations Management

The University of Texas at Austin

Austin, TX • On-site

$48K - $65K/yr

Full-time

Re-posted 12 days ago

University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

126th of 618 rated colleges and universities

Job description

Job Summary:
The University of Texas at Austin is seeking a Postdoctoral Research Fellow in the Department of Information, Risk, and Operations Management. The role focuses on use-inspired AI research, developing AI systems and human-AI collaboration methods to improve outcomes in healthcare and other high-impact contexts.
Responsibilities:
• The position is in-person in Austin Texas. The postdoctoral researcher will be a key member of the research team, responsible for driving, coordinating, and conducting research, and will have opportunities to initiate research and mentor Ph.D. students.
Qualifications:
Required:
• Ph.D research that is relevant to use-inspired AI, interest in human-AI collaboration including in the context of LLMs, and knowledge in and research experience with LLMs.
• Ph.D in an applicable field earned within the last 3 years.
Preferred:
• Interest and prior record in LLMs Human-AI collaboration for decision-making.
• Demonstrated research independence, an ability and interest to work collaboratively with an interdisciplinary research team.
Company:
The University of Texas at Austin is one of the largest public universities in the United States. Founded in 1883, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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