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Human Centered Artificial Intelligence Jobs (NOW HIRING)

Artificial Intelligence Engineer III

Madison, WI ยท On-site

$58 - $77.75/hr

Insperity provides the most comprehensive suite of scalable HR solutions available in the ... We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ...

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... AI capabilities are designed to provide decision support and transparency while preserving human ...

Artificial Intelligence Engineer III

Madison, WI ยท On-site

$58 - $77.75/hr

Insperity provides the most comprehensive suite of scalable HR solutions available in the ... We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ...

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... AI capabilities are designed to provide decision support and transparency while preserving human ...

Showing results 41-60

Human Centered Artificial Intelligence information

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$34K

$65.8K

$98K

How much do human centered artificial intelligence jobs pay per year?

As of Sep 2, 2026, the average yearly pay for human centered artificial intelligence in the United States is $65,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,000.00 per year, depending on experience, location, and employer.

What is human centered artificial intelligence?

Human Centered Artificial Intelligence (HCAI) is an approach to designing and developing AI systems that prioritize human needs, values, and well-being. It emphasizes creating AI technologies that are understandable, trustworthy, and beneficial for people, ensuring users are at the core of decision-making processes. HCAI involves interdisciplinary collaboration among AI researchers, designers, ethicists, and users to ensure technology aligns with societal and ethical standards while enhancing human capabilities. This approach can lead to more inclusive, transparent, and effective AI systems.

How does a human centered artificial intelligence professional collaborate with cross-functional teams to ensure AI solutions meet real user needs?

Human Centered Artificial Intelligence professionals often work closely with designers, data scientists, engineers, and product managers to ensure that AI solutions are intuitive, ethical, and truly beneficial for users. They participate in user research, facilitate workshops, and translate user feedback into actionable insights for AI development. Regular communication and iterative prototyping are key, as these professionals bridge the gap between technical feasibility and human values, ensuring the end product addresses real-world problems effectively.

What are the key skills and qualifications needed to thrive as a human centered artificial intelligence specialist, and why are they important?

To thrive as a Human-Centered Artificial Intelligence Specialist, you need a strong background in computer science, human-computer interaction, and user experience design, often supported by a relevant degree or equivalent experience. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), user research tools, and design thinking methodologies is typically required. Outstanding communication, empathy, and problem-solving skills help you understand user needs and translate them into effective AI solutions. These skills are crucial for developing AI systems that are ethical, accessible, and truly beneficial to people.

What is the easiest human centered artificial intelligence job to get into?

Entry-level roles in human-centered artificial intelligence often include positions such as UX researcher, data annotation specialist, or AI trainer, which typically require basic understanding of AI concepts, strong communication skills, and familiarity with user experience principles. These roles may require minimal coding and can serve as a starting point for those interested in AI development and design. Gaining relevant certifications or training in human-computer interaction or data labeling can improve chances of entry.
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What cities are hiring for Human Centered Artificial Intelligence jobs?

Cities with the most Human Centered Artificial Intelligence job openings:

What states have the most Human Centered Artificial Intelligence jobs?

States with the most job openings for Human Centered Artificial Intelligence jobs include:

Infographic showing various Human Centered Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $65,839 per year, or $31.7 per hour.

Postdoctoral Researcher, Real-Time Generative AI for Automotive XR

Toyota Research Institute

Los Altos, CA โ€ข On-site

$152K - $218K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


The Mission

Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.

The Team

In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence.

The Opportunity

We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes.

This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.

Responsibilities
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
  • Strong foundation in machine learning, especially in computer vision.
  • Extensive hands-on experience with image/video generative models.
  • Strong programming skills in Python; experience with Linux-based development.
  • Proven ability to lead research projects to publication-quality outcomes.
Qualifications
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
  • Strong foundation in machine learning, especially in computer vision.
  • Extensive hands-on experience with image/video generative models.
  • Strong programming skills in Python; experience with Linux-based development.
  • Proven ability to lead research projects to publication-quality outcomes.
Bonus Qualifications
  • Experience in real-time or resource-constrained ML systems.
  • Experience with GPU acceleration, profiling, or low-level optimization.
The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.