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Human Machine Teaming Jobs (NOW HIRING)

This role supports human-machine teaming workflows, mission interfaces, dashboards, and operator experience optimization for AI-enabled systems. You will apply user-centered design to ensure ...

Senior Software Engineer

New York, NY · On-site +1

$120K - $150K/yr

People are essential for all of our human-machine teaming solutions, as they serve as the final firewall for accuracy and quality. About the role This is a full-time remote role for a Senior Software ...

Product Owner

New York, NY · On-site

$120K - $130K/yr

We help businesses with enterprise automation, human-machine teaming, product design and development, and market intelligence. Until now, people have had to learn and adapt to software. Makai creates ...

Human Factors Engineer

Cambridge, MA · On-site

$90K - $210K/yr

Perform Human-Machine Teaming Test and Evaluation (HMT T&E) of Artificial Intelligence * Lead user engagement studies, knowledge elicitation sessions, human-in-the-loop assessments, and workflow ...

UX/UI Developer

Washington, DC · On-site

$85K - $141K/yr

This role supports human-machine teaming workflows, mission interfaces, dashboards, and operator experience optimization for AI-enabled systems. You will apply user-centered design to ensure ...

UX/UI Developer

Washington, DC · On-site

$85K - $141K/yr

This role supports human-machine teaming workflows, mission interfaces, dashboards, and operator experience optimization for AI-enabled systems. You will apply user-centered design to ensure ...

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Human Machine Teaming information

What is Human Machine Teaming?

Human Machine Teaming refers to the collaboration between humans and artificial intelligence (AI) systems, robots, or other machines to achieve shared goals. This partnership leverages the complementary strengths of humans—such as creativity, judgment, and adaptability—and machines, which excel at processing large amounts of data quickly and performing repetitive tasks. The goal is to improve decision-making, efficiency, and outcomes in various industries, including defense, healthcare, manufacturing, and more. Effective human machine teaming requires thoughtful design of interfaces, clear communication protocols, and ongoing training for both humans and machines to work together seamlessly.

What are the key skills and qualifications needed to thrive as a Human-Machine Teaming Specialist, and why are they important?

To thrive as a Human-Machine Teaming Specialist, you need expertise in human factors engineering, systems integration, and data analysis, often supported by a background in computer science, engineering, or cognitive psychology. Familiarity with AI platforms, machine learning tools, and human-computer interaction (HCI) frameworks is typically required. Strong collaboration, problem-solving, and communication skills help bridge the gap between human users and advanced technologies. These capabilities are crucial to designing seamless interactions, ensuring safety, and optimizing the joint performance of human and machine teams.

What are some common challenges faced by professionals working in Human Machine Teaming, and how can they be addressed?

Professionals in Human Machine Teaming often encounter challenges such as balancing effective communication between humans and AI systems, ensuring trust in automated processes, and integrating new technologies into existing workflows. Addressing these challenges requires continuous learning, active collaboration with multidisciplinary teams, and clear communication of complex technical concepts to non-technical stakeholders. Regular training, user feedback loops, and staying updated on advancements in AI and human factors engineering can help professionals navigate and overcome these obstacles successfully.
More about Human Machine Teaming jobs
What cities are hiring for Human Machine Teaming jobs? Cities with the most Human Machine Teaming job openings:
What states have the most Human Machine Teaming jobs? States with the most job openings for Human Machine Teaming jobs include:
What job categories do people searching Human Machine Teaming jobs look for? The top searched job categories for Human Machine Teaming jobs are:
Infographic showing various Human Machine Teaming job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Human-Machine Teaming & Autonomy Software Engineer

Riverside Research Institute

Lexington, MA • On-site

$229K/yr

Full-time

Posted 4 days ago


Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Join a multidisciplinary research team developing software tools and analysis capabilities for human-machine teaming and human-autonomy interaction in high-stakes, dynamic environments such as military operations. In this role, you will contribute to the design and implementation of software that supports the study, modeling, and evaluation of how humans and autonomous or AI-enabled systems coordinate, communicate, and perform together as a team.
You will support efforts to build tools that structure, process, and analyze data related to human-autonomy interaction - including behavioral, communication, and performance data - using programming, applied statistics, and software engineering best practices. You'll work closely with cognitive scientists, human factors researchers, and engineers to translate research questions about trust, workload, coordination, and shared situational awareness into working software and analysis pipelines.
The position requires strong programming skills and a genuine interest in human-machine teaming, human-autonomy interaction, and cognitive science. You'll implement and test code that supports research-grade experiments and turns them into reproducible, scalable tools. You may also assist in human subjects research activities, including experiment setup, data collection support, and coordination with research staff.
This is an applied research and development role ideal for early-career professionals who want to work at the intersection of software engineering, autonomy, and human cognition. The ideal candidate is motivated to build tools that help humans and autonomous systems work together more effectively in real-world, dynamic settings. You'll have the opportunity to grow expertise in human-autonomy teaming, adaptive systems, and cognitive science-informed software design.
Responsibilities
  • Design, develop, and maintain software supporting human-machine teaming and human-autonomy interaction research and prototype systems.
  • Assist with human subjects research activities, including experiment setup, protocol support, and coordination of data collection sessions.
  • Implement and refine data processing and analysis pipelines in support of behavioral, performance, and interaction research.
  • Collaborate with cognitive scientists and human factors researchers to translate research questions into implementable technical solutions.
  • Contribute to the development of interfaces, simulations, or tools that support studying human-autonomy coordination and trust.
  • Maintain organized, well-documented codebases to support reproducibility and collaboration across the research team.
  • Support experimental design and protocol development, particularly around data integrity and human subject compliance.
  • Summarize and present technical findings and code outputs in internal meetings to support scientific interpretation and reporting.
  • Stay current with relevant tools, techniques, and literature in human-autonomy teaming, human factors, and cognitive science.

Qualifications
Required Qualifications:
  • Typically requires no previous professional experience, however, Bachelor's degree is preferred.
  • Proficiency in a modern programming language (e.g., Python, C++, C#, or Java), with demonstrated experience writing clean, maintainable, well-documented code.
  • Genuine interest in human-machine teaming, human-autonomy interaction, or cognitive science, demonstrated through coursework, research, projects, or prior work.
  • Strong attention to detail and ability to follow protocols, especially where human subject data or safety-relevant systems are involved.
  • Ability to work collaboratively in a fast-paced, multidisciplinary research environment, taking direction while contributing technical insight.
  • Clear written and verbal communication skills, especially for documenting code, processes, and preliminary findings.
  • U.S. citizenship and ability to obtain a clearance in the future.

Preferred Qualifications
  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Cognitive Science, Psychology, Neuroscience, Human Factors, or a related discipline).
  • Experience with human subject research, including IRB protocols, consent processes, or hands-on data collection in lab or field environments.
  • Familiarity with concepts in human-autonomy teaming, trust in automation, shared situational awareness, or adaptive/autonomous systems.
  • Coursework or research experience in cognitive science or neuroscience, including topics such as decision-making, workload, attention, or team cognition.
  • Exposure to experiment design or behavioral research tools (e.g., PsychoPy, LabStreamingLayer) or physiological/biosignal tools (e.g., BioPac, iMotions, OpenBCI) is a plus.
  • Experience working with simulation environments, robotics, or autonomous systems platforms is a plus.

Additional Notes
  • This is a junior-level position ideal for someone with a strong foundation in software engineering who is eager to gain experience in human-autonomy teaming and cognitive science-informed research.

Global Comp
$58,000 - $110,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.