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Cognitive Science Ai Jobs (NOW HIRING)

Bachelor's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human ... Proficiency in AI traceability/observability tools based on the OpenTelemetry protocol.

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

... cognitive science • Strong background in computational modeling Company : The Biological Intelligence Company for Scalable AI Founded in 2023, the company is headquartered in South San Francisco ...

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Bachelor's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human ...

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Bachelor's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Bachelor's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Bachelor's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human ...

Showing results 21-40

Cognitive Science Ai information

See salary details

$23.5K

$57.4K

$76.5K

How much do cognitive science ai jobs pay per year?

As of Aug 8, 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.

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?

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.
More about Cognitive Science Ai jobs
What cities are hiring for Cognitive Science Ai jobs? Cities with the most Cognitive Science Ai job openings:
What states have the most Cognitive Science Ai jobs? States with the most job openings for Cognitive Science Ai jobs include:
Infographic showing various Cognitive Science Ai job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $57,413 per year, or $27.6 per hour.

$105K - $145K/yr

Full-time

Re-posted 23 days ago


Job description

We are looking for an AI Evaluation Scientist to design and execute evaluation processes that ensure our predictive and generative AI systems are accurate, reliable, safe, and aligned with mission requirements. This role is essential for establishing trust in AI solutions and supporting continuous improvement across the AI lifecycle. The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment.


  • Implement evaluation frameworks for AI models, including accuracy, robustness, relevance, bias, hallucination rate, and safety metrics.
  • Build and maintain automated evaluation scripts, tests, and pipelines that assess AI model outputs and detect performance drift over time. 
  • Develop benchmark datasets, challenge sets, and scenario-based test cases tailored to mission and user needs. 
  • Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations. 
  • Collaborate with AI Developers, LLMOps Engineers, and Data Scientists to support iterative experimentation, model hardening, and quality improvements. 
  • Contribute to the design of human-in-the-loop evaluation workflows, integrating qualitative and quantitative insight into evaluation reports. 
  • Assist in mapping evaluation outcomes to responsible AI principles such as fairness, transparency, reliability, and safety. 
  • Partner with AI Governance Analysts to ensure evaluation outputs support compliance, documentation, and risk assessments. 
  • Stay current with emerging evaluation tools, frameworks, metrics, and research related to LLM assessment and generative AI reliability. 
  • Document evaluation processes, criteria, and results for both technical and non-technical audiences. 
  • You will contribute to the growth of our AI & Data Exploitation Practice! 

  • Ability to hold a position of public trust with the U.S. government. 
  • Bachelor’s degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 5+ years of experience.
    • Master’s degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 3+ years of experience.
  • 2+ years of experience evaluating machine learning models, NLP systems, or generative AI models (LLMs preferred). 
  • Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. 
  • Proficiency in Python and relevant libraries such as PyTorch, Hugging Face, scikit-learn, LangChain. 
  • Proficiency in AI evaluation frameworks such as Ragas or DeepEval. 
  • Proficiency in AI traceability/observability tools based on the OpenTelemetry protocol. 
  • Experience analyzing structured and unstructured data, including text, documents, and embeddings. 
  • Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures. 
  • Exposure to responsible AI concepts and governance-aligned evaluation criteria (e.g., fairness, transparency, reliability). 
  • Strong analytical skills with the ability to interpret model weaknesses, extract insights, and recommend actionable improvements. 
  • Excellent written and verbal communication skills, with the ability to present evaluation findings clearly to technical and non-technical stakeholders. 
  • Experience working in agile or iterative development environments is a plus. 
  • Familiarity with OWASP LLM Top 10 Risks 
  • Relevant certifications (helpful but not required): NIST AI RMF (AISIC), INFORMS CAP, AWS/Azure/Google ML Certifications. 

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $105,000 to $145,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.