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Human Ai Collaboration Jobs (NOW HIRING)

Asana

Senior Technical Program Manager

New York, NY · On-site

$164K - $184K/yr

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 ...

Crescendo.ai

AI Product Manager

San Francisco, CA · Remote

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

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How much do human ai collaboration jobs pay per year?

As of Aug 19, 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.
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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 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $80,289 per year, or $38.6 per hour.

Post Doctoral Fellow - Generative AI, Wellbeing, and Customer Support

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 24 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

66th of 619 rated colleges and universities

Job description

Description
The AI-Human Research Center at Carnegie Mellon University (CMU) invites applications for two-year Postdoctoral Fellows positions to conduct cutting-edge research on improving workplace wellbeing with Generative AI and Large Language Models (LLMs). Robert Kraut, Haiyi Zhu, Sherry Wu, and Yi-Chia Wang in the Human-Computer Interaction Institute at CMU and Diyi Yang at Stanford University are available as mentors. Initial positions will be full-time in Pittsburgh, PA. CMU offers a vibrant interdisciplinary research environment across the Human-Computer Interaction Institute, Language Technologies Institute, and School of Computer Science, with extensive opportunities for collaboration, mentorship, and professional development.
Project Overview:
This project investigates how LLMs can be used to train workers for social skills in different environments-for example, training supervisors to better support the customer service representatives (CSRs) they oversee to promote their wellbeing; training CSRs to improve their ability to interact with a wide variety of customers; and training novice mental health providers in helping skills. By building and deploying a training environment in which trainees interact with realistic virtual employees, customers or patients and receive appropriate feedback, the research aims to reduce worker stress, improve interaction quality, and advance understanding of human-AI collaboration in organizational settings.
The postdoctoral researcher will design and implement LLM-powered conversational agents and training systems, develop feedback and assessment mechanisms, conduct human-subject studies and mixed-method analyses, build end-to-end prototypes, collaborate closely with faculty, students, and industry partners, and publish results in top-tier venues in NLP, HCI, and AI.
Qualifications
Required Qualifications:
Applicants must have:
* A PhD in a relevant research field, including Computer Science, Information Science, HCI, AI/ML, Communication, Organizational Behavior, or Psychology
* Strong background in NLP or generative AI
* Experience working with or fine-tuning large language models
* Demonstrated technical ability and rapid prototyping
* An active publication record in leading conferences or journals
Preferred Qualifications:
We are especially excited about candidates who have:
* Interest in wellbeing, mental health, organizational behavior, and interpersonal communication
* Background in evaluation of interactive AI systems
* Systems implementation experience (front-end + backend development)
* Experience collaborating with industry partners
Application Instructions
Applicants should submit:
* A CV
* At least two letters of reference
* A brief research statement describing interests and fit with the project
Applications will be reviewed on a rolling basis until the position is filled.

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