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Cognitive Science Jobs in Colorado (NOW HIRING)

Denver

Case Manager I - Community Corrections

Denver, CO

$26.84 - $40.27/hr

Direct care and facilitation of cognitive behavioral groups with the client population * Monitoring ... behavioral sciences, Criminal Justice, or related fields required. * Experience Requirement:

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$24.7K

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$80.4K

How much do cognitive science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for cognitive science in Colorado is $60,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $65,200.00 per year, depending on experience, location, and employer.

What jobs do cognitive science majors get?

Cognitive science majors often pursue careers as research scientists, user experience designers, data analysts, artificial intelligence specialists, and cognitive consultants. These roles typically require skills in research methods, programming, and understanding human behavior, often utilizing tools like MATLAB, Python, or eye-tracking software.

Is cognitive science a useful degree?

Cognitive science is a useful degree for careers in research, artificial intelligence, human-computer interaction, and psychology, as it provides interdisciplinary skills in psychology, neuroscience, computer science, and linguistics. Graduates often find employment in tech companies, healthcare, academia, and consulting, with opportunities to develop skills in data analysis, programming, and experimental design. The degree can lead to roles that require critical thinking and problem-solving in understanding human cognition and behavior.

What are the key skills and qualifications needed to thrive in the Cognitive Science position, and why are they important?

To thrive in a Cognitive Science role, you need a solid grounding in psychology, neuroscience, computer science, linguistics, and data analysis, usually supported by at least a bachelor's or master's degree in a related field. Familiarity with statistical analysis software (such as SPSS or R), programming languages (like Python or MATLAB), and research tools is highly advantageous. Outstanding collaboration, critical thinking, and clear communication skills set top candidates apart in multidisciplinary teams. These skills and qualifications enable professionals to analyze complex cognitive processes and contribute innovative solutions to real-world human-computer interaction, AI, or behavioral research challenges.

What does a cognitive scientist do?

A cognitive scientist studies how the mind processes information, including perception, memory, language, and decision-making. They often conduct experiments, analyze data, and develop models using tools like computer simulations and statistical software to understand human cognition. Their work can involve interdisciplinary knowledge from psychology, neuroscience, linguistics, and computer science.

What are the typical career progression opportunities for someone in a Cognitive Science role?

Professionals in cognitive science often start in research assistant, data analyst, or user experience roles and can progress to positions such as lead researcher, UX researcher, cognitive engineer, or even project manager depending on their interests and expertise. With experience and additional qualifications, some transition into roles in artificial intelligence, human-computer interaction, neurotechnology, or higher education as professors or principal investigators. Opportunities for advancement are often influenced by your ability to publish research, collaborate across disciplines, and acquire advanced degrees or certifications. Many cognitive science professionals also find pathways into related industries including technology, healthcare, and education, allowing for diverse and rewarding career trajectories.

What is a Cognitive Science job?

A Cognitive Science job involves applying knowledge from psychology, neuroscience, artificial intelligence, philosophy, and linguistics to understand how humans and machines think, learn, and process information. Professionals in this field work in diverse industries, including technology, healthcare, research, and user experience design. Common roles include data scientist, UX researcher, AI specialist, and cognitive psychologist. These jobs often require analytical thinking, programming skills, and expertise in human behavior or machine learning.

Is cognitive science better than psychology?

Cognitive science is an interdisciplinary field that overlaps with psychology but also includes areas like neuroscience, computer science, and philosophy. As a cognitive science professional, understanding multiple disciplines can enhance research and problem-solving skills, whereas psychology focuses more specifically on mental processes and behavior. Both fields offer different career paths and specializations, so the choice depends on individual interests and goals.
What are the most commonly searched types of Cognitive Science jobs in Colorado? The most popular types of Cognitive Science jobs in Colorado are:
What are popular job titles related to Cognitive Science jobs in Colorado? For Cognitive Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Cognitive Science jobs in Colorado look for? The top searched job categories for Cognitive Science jobs in Colorado are:
What cities in Colorado are hiring for Cognitive Science jobs? Cities in Colorado with the most Cognitive Science job openings:
Cognitive Science jobs near you
Infographic showing various Cognitive Science job openings in Colorado as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $60,371 per year, or $29 per hour.

Computer Sciences - Graduates - AI Training - Colorado Springs, US

Prolific Academic Ltd

Colorado Springs, CO • On-site, Remote

$60/hr

Full-time

Posted 24 days ago

Job description

Computer Sciences - Graduates - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in CS research or technical analysis, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $60/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field.
  • Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic.
  • Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws.
  • Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • AI Evaluation & Ranking: comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety.
  • Scientific Review: reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity.
  • Fact-Checking: identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings.
  • RLHF (Reinforcement Learning from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science.
  • Code & Logic Verification: auditing AI-generated code snippets or architectural diagrams for structural and functional correctness.
Key Technologies
  • Generative AI & LLMs: training the next generation of technical and reasoning models.
  • Technical Documentation: working with research papers, code repositories, and data visualizations.
  • Verification Frameworks: using structured evaluation rubrics to audit AI performance.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.