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Cognitive Science Ai Jobs (NOW HIRING)

Deloitte

Agentic AI, AI & Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision ...

Deloitte

Agentic AI, AI & Data Science Engineer

Tampa, FL

$108K - $129K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision ...

Deloitte

Agentic AI, AI & Data Science Engineer

Tempe, AZ

$109K - $131K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision ...

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How much do cognitive science ai jobs pay per year?

As of Jul 18, 2026, the average yearly pay for cognitive science ai in the United States is $57,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $62,000.00 per year, depending on experience, location, and employer.

Is Cognitive Science a good major for AI?

Cognitive Science is a relevant major for AI roles like Cognitive Science AI, as it provides a strong foundation in understanding human cognition, perception, and learning processes, which are valuable in developing intelligent systems. Skills in programming, machine learning, and data analysis are also important for AI careers, and many professionals supplement their degree with courses in computer science or AI-specific tools.

What kind of jobs can I get with a Cognitive Science degree?

A degree in Cognitive Science can lead to roles such as cognitive scientist, user experience researcher, data analyst, artificial intelligence specialist, or human factors engineer. These jobs often require skills in research, programming, data analysis, and understanding of human cognition, with opportunities in tech companies, research institutions, and healthcare settings.

What is a 900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior research scientists, AI executives, or specialized engineers, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership, strategic planning, and significant expertise, and they tend to be among the highest-paying jobs in the tech industry.

What is Cognitive Science AI?

Cognitive Science AI refers to the interdisciplinary field that combines principles from cognitive science and artificial intelligence to understand and model human thought processes. It involves using insights from psychology, neuroscience, linguistics, philosophy, and computer science to create AI systems that can mimic human reasoning, learning, and problem-solving abilities. Professionals in this area often work on developing algorithms and models that simulate cognitive functions such as perception, memory, and decision-making. The goal is to both advance AI technology and deepen our understanding of human cognition.

What are the key skills and qualifications needed to thrive as a Cognitive Science AI Specialist, and why are they important?

To thrive as a Cognitive Science AI Specialist, you need a strong background in cognitive science, computer science, and mathematics, often supported by an advanced degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with data analysis tools are typically required. Excellent problem-solving abilities, interdisciplinary collaboration, and strong communication skills help you translate complex research into practical AI solutions. These skills are essential for advancing innovative AI technologies that mimic or enhance human cognition and for effectively working across diverse teams.

What is the difference between Cognitive Science Ai vs Data Scientist?

AspectCognitive Science AiData Scientist
Required CredentialsDegree in Cognitive Science, AI, or related fieldsDegree in Data Science, Statistics, or Computer Science
Work EnvironmentResearch labs, AI development teams, academiaBusiness analytics, tech companies, finance, healthcare
Industry UsageAI research, cognitive modeling, human-computer interactionData analysis, predictive modeling, decision-making support

While both roles involve data and technology, Cognitive Science Ai focuses on understanding human cognition and developing AI systems that mimic or enhance it. Data Scientists primarily analyze large datasets to extract insights and inform business decisions. The roles overlap in data handling but differ in their core objectives and application areas.

How do professionals in Cognitive Science AI typically collaborate with interdisciplinary teams to develop effective AI solutions?

Professionals in Cognitive Science AI often work closely with experts from psychology, neuroscience, computer science, and linguistics to design AI systems that simulate human cognition. Collaboration usually involves regular meetings to share insights, align goals, and integrate diverse perspectives into model development. This interdisciplinary approach helps ensure AI solutions are both technically robust and grounded in real-world cognitive principles. Effective communication and openness to feedback are key to navigating the varying terminologies and methodologies across fields.

What is the salary of cognitive AI researcher?

The salary of a cognitive AI researcher typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Advanced roles may offer higher compensation, especially in research-intensive or industry-leading organizations, often requiring strong programming skills and knowledge of machine learning frameworks.
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Cognitive Science Ai jobs near you
Infographic showing various Cognitive Science Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $57,413 per year, or $27.6 per hour.

Postdoctoral Fellowship - Robotics and AI

Ludo Robotics

San Francisco, CA • On-site

$57K - $78K/yr

Full-time

Posted 20 days ago

Job description

Job Summary:
Ludo Robotics is dedicated to building general-purpose robotic intelligence systems that are robust and adaptive. The Postdoctoral Fellowship focuses on independent and collaborative research in Robotics, AI, and Human-Robot Interaction, allowing fellows to drive meaningful research contributions that advance the state of the art.
Responsibilities:
• Design and lead an independent research agenda within the fellowship scope, in collaboration with Ludo's research team.
• Conduct experiments, user studies, and field deployments to evaluate hypotheses on real hardware.
• Develop theoretical frameworks and translate them into prototype robot behaviors that bridge research with real-world system implementation.
• Synthesize findings from academic literature across HRI, HCI, social robotics, cognitive science, robot learning, and AI to inform research direction.
• Integrate developed models and algorithms into robot control pipelines and evaluate their real-world performance.
• Collaborate cross-functionally with engineers, designers, and product teams to translate research insights into deployable systems.
• Contribute to establishing metrics and evaluation frameworks for robot behavior and system performance.
• Publicize and disseminate research findings through publications, preprints, talks, and open-source releases.
• Actively participate in team seminars, design reviews, and knowledge-sharing sessions.
Qualifications:
Required:
• PhD (completed or expected by start date) in Human-Robot Interaction, Human-Computer Interaction, Robotics, Computer Science, Cognitive Science, or a closely related field.
• A strong record of research contributions demonstrated through publications, preprints, or equivalent technical output.
• Experience conducting rigorous experiments—user studies, ablations, or system evaluations—and interpreting results clearly.
• Ability to work independently and drive a research agenda with minimal supervision while remaining collaborative and communicative.
Preferred:
• Hands-on prototyping experience with physical robots (humanoid, mobile, or custom platforms) or virtual agents.
• Experience designing and running controlled user studies and participatory design sessions.
• Comfort working across disciplines, translating between user insights, theoretical models, and engineering constraints.
• Familiarity with ROS, Python, or related robotics software tools.
• Experience with large language models (LLMs), particularly in building conversational AI, dialog systems, or applying LLMs to robot behavior such as natural language understanding and task planning.
• Genuine curiosity about people and what makes interactions feel natural, safe, and engaging.
Company:
Ludo Robotics is an AI company that develops robotic intelligence systems for perception, learning, manipulation, and task execution. Founded in 2026, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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