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Cognitive Science Internship Jobs in Spring, TX (NOW HIRING)

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Cognitive Science Internship information

See Spring, TX salary details

$1.9K

$5.7K

$6.9K

How much do cognitive science internship jobs pay per month?

As of Jul 27, 2026, the average monthly pay for cognitive science internship in Spring, TX is $5,730.42, according to ZipRecruiter salary data. Most workers in this role earn between $3,933.33 and $6,825.00 per month, depending on experience, location, and employer.

What are the big 4 internships?

The 'Big 4' internships typically refer to competitive programs offered by major consulting firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide experience in consulting, audit, tax, and advisory services, often targeting students pursuing degrees in business, finance, or related fields. For a Cognitive Science Internship, relevant skills include research, data analysis, and understanding of cognitive processes, though the 'Big 4' are primarily focused on business and finance sectors.

What jobs can I do with a Cognitive Science degree?

A Cognitive Science degree prepares individuals for roles such as research assistant, user experience designer, data analyst, or cognitive engineer. These jobs often require skills in research methods, programming, and understanding human behavior, and may involve working in tech, healthcare, or academia.

Is a degree in Cognitive Science worth it?

A degree in Cognitive Science can be valuable for internships like the Cognitive Science Internship, as it provides knowledge in areas such as psychology, neuroscience, and computer science. It can enhance skills in research, data analysis, and problem-solving, which are important for roles involving human-computer interaction, AI, and cognitive modeling. However, job prospects also depend on practical experience and additional skills like programming or statistical analysis.

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

To thrive as a Cognitive Science Intern, you need a solid background in psychology, neuroscience, computer science, or linguistics, usually supported by relevant coursework or a related degree. Familiarity with data analysis tools (such as Python, R, or MATLAB), experimental design software, and possibly experience with brain imaging systems is highly valued. Strong analytical thinking, communication skills, and adaptability help interns collaborate effectively and contribute original ideas to interdisciplinary research teams. These skills and qualifications are crucial for successful participation in research projects and for making meaningful contributions to the field.

What is a Cognitive Science Internship?

A Cognitive Science Internship is a temporary, practical work experience for students or recent graduates interested in cognitive science, an interdisciplinary field that explores the mind, intelligence, and behavior from psychological, neuroscientific, computational, and philosophical perspectives. These internships allow participants to apply theoretical knowledge to real-world research or projects, often involving tasks such as data analysis, experimental design, literature reviews, or programming. Interns can work in academic labs, tech companies, healthcare organizations, or research institutes, gaining hands-on skills and professional connections. The experience helps clarify career interests and can be a valuable stepping stone for graduate studies or entry-level positions in related fields.

What is a CSIR internship?

A CSIR internship refers to an internship offered by the Council of Scientific & Industrial Research (CSIR), a government organization in some countries that promotes scientific research. These internships typically involve research projects in science and engineering fields and may require relevant academic background and skills in laboratory work or data analysis.

What types of projects or research tasks are typically assigned to Cognitive Science interns?

Cognitive Science interns often work on interdisciplinary projects that may involve data analysis, experimental design, literature reviews, or assisting in behavioral studies. You might contribute to tasks such as collecting and analyzing data from cognitive experiments, programming simple behavioral tasks, or collaborating with team members from psychology, neuroscience, computer science, and linguistics. Interns are usually encouraged to participate in team meetings and may have opportunities to present their findings or support ongoing research publications. This hands-on experience helps interns gain valuable insights into real-world applications of cognitive science and develop technical and collaborative skills.
What are the most commonly searched types of Cognitive Science jobs in Spring, TX? The most popular types of Cognitive Science jobs in Spring, TX are:
What job categories do people searching Cognitive Science Internship jobs in Spring, TX look for? The top searched job categories for Cognitive Science Internship jobs in Spring, TX are:
What cities near Spring, TX are hiring for Cognitive Science Internship jobs? Cities near Spring, TX with the most Cognitive Science Internship job openings:
Cognitive Science Internship jobs near you
Infographic showing various Cognitive Science Internship job openings in Spring, TX as of June 2026, with employment types broken down into 6% As Needed, 59% Full Time, 20% Part Time, 9% Temporary, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $68,765 per year, or $33.1 per hour.
AI & Data Analytics Co-op/Intern

AI & Data Analytics Co-op/Intern

Amot Controls Corporation

Houston, TX • On-site

Full-time

Posted 21 days ago

Job description

Position Type: Co-op / Internship (Graduate-level, semester or summer term)
Location: [On-site - Houston]
Duration & Schedule: 10-12 week summer internship OR 4-8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).
Key Responsibilities:
  • Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.
  • Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.
  • Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.
  • Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.
  • Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.
  • Support adoption through training, documentation, and change-management support.
  • Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.

Required Qualifications and Experience:
  • Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.
  • Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.
  • Working knowledge of SQL - able to write joins, aggregations, and window functions against a relational database.
  • Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
  • Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.
  • Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications and Experience:
  • Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.
  • Exposure to the Microsoft Azure AI stack - Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.
  • Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.
  • Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.
  • Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.
  • Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.

What You Will Gain:
  • Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.
  • Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.
  • A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.

Other:
  • Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.
  • Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.

Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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