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Cognitive Science Ai Jobs (NOW HIRING)

Kira

AI Learning Scientist

New York, NY · Remote

$130K - $180K/yr

As an AI Learning Scientist at Kira, you will help ensure that the AI features we build are ... cognitive science, or a closely related field. Preferred * You have classroom teaching experience ...

Kira Learning

AI Learning Scientist

New York, NY · On-site

$130K - $180K/yr

As an AI Learning Scientist at Kira, you will help ensure that the AI features we build are ... cognitive science, or a closely related field. Preferred * You have classroom teaching experience ...

Vanguard Group

Senior AI/ML Engineer

Malvern, PA · On-site

$102K - $140K/yr

... Data Science or related field) * At 5+ years of relevant work experience * Deep understanding of cutting-edge AI research topics, such as multi-agent systems, generative models, or cognitive ...

Vangard, Inc.

Senior AI/ML Engineer

Malvern, PA

$102K - $140K/yr

... Data Science or related field) * At 5+ years of relevant work experience * Deep understanding of cutting-edge AI research topics, such as multi-agent systems, generative models, or cognitive ...

Gallup

AI Research Scientist

Washington, DC · On-site

$165K - $225K/yr

As an AI research scientist at Gallup, you will shape AI systems built on some of the richest ... Bachelor's degree in computer science, data science, applied mathematics, cognitive science or a ...

Gallup

AI Research Scientist

Washington, DC · On-site

$165K - $225K/yr

As an AI research scientist at Gallup, you will shape AI systems built on some of the richest ... Bachelor's degree in computer science, data science, applied mathematics, cognitive science or a ...

1 point system

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

Collaborate with data scientists, engineers, and stakeholders to design AI-driven solutions ... and Cognitive Services * Deep understanding of LLMs, RAG models , and vector database ...

Steampunk

AI Evaluation Scientist

Mclean, VA

$105K - $145K/yr

Bachelor's or Master's degree in Computer Science, Statistics, Machine Learning, Cognitive Science ... Proficiency in AI evaluation frameworks such as Ragas. * Experience analyzing structured and ...

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How much do cognitive science ai jobs pay per year?

As of Jun 28, 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 strong major for AI roles like Cognitive Science AI because it provides a foundation in understanding human cognition, perception, and learning, which are relevant to developing intelligent systems. Skills in programming, machine learning, and data analysis are also important for such positions. Combining cognitive science with computer science or related technical skills enhances job prospects in AI development.

What kind of jobs can I get with a cognitive science degree?

A cognitive science degree prepares individuals for roles such as cognitive scientist, user experience researcher, data analyst, AI specialist, or human factors engineer. These jobs often require skills in research, programming, and understanding human behavior, and may involve working in tech companies, research institutions, or healthcare settings.

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.

Which 3 jobs will survive AI?

Cognitive Science AI professionals are likely to find roles in research, AI development, and human-AI interaction design will persist, as these areas require complex problem-solving, creativity, and understanding of human cognition. Jobs involving critical thinking, emotional intelligence, and specialized expertise are less susceptible to automation. Skills in interdisciplinary knowledge, programming, and ethical considerations will enhance job security in this field.

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 a $900,000 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 consultants, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership, strategic planning, and extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or innovative startups with significant AI investments.
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Cognitive Science Ai jobs near you
Infographic showing various Cognitive Science Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 23% Full Time, 69% Part Time, 1% Temporary, and 6% 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.

Post Doctoral Fellow

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Medical, Retirement, PTO

Posted 6 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

54th of 541 rated colleges and universities

Job description

Description
The PLUS - Personalized Learning Squared project, run by the Human-Computer Interaction Institute at Carnegie Mellon University aims to double the rate of math learning in middle school students, particularly those who have been historically underserved. This project is operated in collaboration with Carnegie Learning and Stanford University and is led by Principal Investigator Prof. Ken Koedinger and Research Lead Dr. Danielle Thomas. PLUS features a hybrid tutoring platform that combines human and AI tutoring to deliver personalized learning for each student.
The National Tutoring Observatory, is a research infrastructure led by Prof. Rene Kizilcec at Cornell University, along with researchers from Carnegie Mellon University, Massachusetts Institute of Technology, and educational strategy company FreshCognate. The mission of the National Tutoring Observatory is to observe and record great teachers and tutors at work in one-on-one and small group interactions with learners. By partnering with a range of tutoring providers, we will create the world's largest repository of video and transcript data about tutoring interactions and the incredibly important work of teachers. The Observatory aspires to create a Million Tutor Moves dataset that records at least one million interactions between teachers and students. These new data will advance the science of instruction, provide important data for technologists developing AI tools, and allow the Observatory to create a pipeline for the creation of open-source AI tools.
About The Role:
We are looking for a postdoctoral fellow who will contribute to original research to improve student learning outcomes through improved tutoring for the PLUS project and the NTO. This fellow would be advised by Prof. Ken Koedinger and Dr. Danielle Thomas at Carnegie Mellon, while closely collaborating with Rene Kizilcec and Co-PIs of The National Tutoring Observatory..This includes work on improving tutor training, improving tutor-student matching, and developing AI-assisted support tools for tutors. This is an excellent opportunity for a technology-oriented postdoc researcher to make an impact on an exciting and fast-scaling project in the areas of educational data science, learning science, and education technology.
The ideal candidate will demonstrate strong problem-solving skills and apply interesting research methods and procedures to answering the following example research questions:
  • What are the key drivers of effective teaching and tutoring, and how do they vary across different tutoring modalities, implementations, and student demographics?
  • How can we best measure and isolate the tutoring actions and behaviors that correlate with, and ultimately predict, gains in student learning and engagement?
  • How can AI-driven tutoring tools be used to improve human tutor training and professional development?
  • How can AI-driven tutoring tools be used to improve the learning experiences and outcomes for students?

The ideal candidate will also possess strong quantitative analysis skills, and your responsibilities will include:
  • Collaborative problem-solving toward innovation in tutoring with different stakeholders
  • Design and implement evaluations of innovative programs
  • Data analyses and modeling using Python/R/or similar programming languages
  • Co-author research papers on the results of student learning modeling and studies
  • Attend required meetings and participate in various seminars and training workshops to maintain or update skills

What We Offer:
  • Competitive salary and benefits package including an automatic 8% monthly contribution to a retirement plan
  • Professional development opportunities including tuition benefits at CMU for you and your dependents
  • Comprehensive health insurance and generous PTO
  • Chance to work with the world's foremost learning science researchers
  • A fun, high-octane team that will work with you every step of the way

Salary: $60,000-$75,000
Qualifications
What You Bring:
  • Ph.D. in Cognitive Science, Learning Science, Computer Science, Information Systems, or related fields
  • A record of publications in Cognitive Science, Learning Science, AI in Education, and/or Educational Data Mining (conferences such as AIED, LAK, EDM, etc.)
  • Collaborative problem-solving skills to work effectively with state assessment professionals toward innovation in assessment
  • Experience working with discourse analyses, such as audio transcription analysis and multimodal data analysis
  • Data analysis skills with R/Python/or similar programming languages
  • Experience in public education is a plus

Application Instructions
Applications should include a cover letter describing qualifications and expressing interest, a CV and contact information for 2 references and a published paper (optional). Please direct questions and interest in the position to Danielle Thomas: drthomas@cmu.edu.

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