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AI summary
Part-time temporary Program Aide role supporting a Construction Science research project developing and evaluating AI-enabled learning support systems for construction engineering and management. You'll collaborate with the PI, graduate students, and industry partners on system development, experiments, and data analysis at Texas A&M University’s Department of Construction Science. Standout perk: clear hourly pay ($15.62/hr) on an onsite, short-term appointment (up to 4.5 months).
Key skills
MS in Data Science (or MS candidate graduating May 2026)AI agent development using Large Language Models (LLMs)Optical Character Recognition (OCR)Computer vision technologiesData analysisDesigning and executing empirical studies/experimentsWritten and verbal communicationInterdisciplinary collaboration
Pays $15.62 per hour for a part-time temporary/casual role (fixed term, not to exceed 4.5 months).
You'll thrive here if you’re an MS-level data science researcher who can build LLM-based agents, analyze results, and run rigorous experiments in a collaborative construction-engineering research setting.
Why apply
Work on AI-enabled learning systems
Collaborate with industry partners
Short-term part-time appointment
Job TitleProgram Aide Agency Texas A&M University Department Construction Science Proposed Minimum Salary$15.62 hourly Job LocationCollege Station, Texas Job TypeTemporary/Casual Staff (Fixed Term) Job Description What we want The Program Aide for the Construction Science Department supports a research project focused on the development, validation, and evaluation of AI-enabled learning support systems in construction engineering and management. The program aide will support system development and the execution of experiments related to performance and human learning. The position involves close collaboration with the PI, graduate students, and industry partners. Responsibilities Supporting the assigned projects Support system development and the execution of planned experiments Support data analysis What You Need To Know Salary: $15.62/hr. Cover Letter/Resume: A cover letter and resume will assist us in our review of your application materials. You may upload them on the application under the CV/Resume section. Other Details: This is a part-time temporary/casual position not to go past 4.5 months. Qualifications Required Education and Experience: MS in Data Science MS candidates with an expected graduation date of May 2026 will also be considered Experience with AI agent development using Large Language Models Knowledge of Optical Character Recognition (OCR) and Computer Vision Technologies Knowledge, Skills, and Abilities: Strong data analysis skills Ability to design and execute rigorous empirical studies Strong written and verbal communication skills Ability to work independently and collaboratively in interdisciplinary teams Who We Are Established in 1946, the Texas A&M University Department of Construction Science has led the way in excellence of construction in higher education. As part of Texas A&M College of Architecture both graduate and undergraduate programs were among the first in the nation to be accredited by the American Council for Construction Education (ACCE). With approximately 1,400 undergraduate and 200 graduate students, our department continues to lead the way as one of finest programs of construction education in the nation. We challenge our students, staff and faculty to maintain such standards and we are delighted to have those join us, who can help us in our pursuits. Learn more about us by visiting our website at
Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service. Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume’ or use a LinkedIn profile to pre-populate the online application. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer. Howdy and thank you for your interest in a career with Texas A&M University. As the flagship campus of The Texas A&M University System, we are located in College Station, Texas with a student population of more than 74,000 and nearly 14,000 faculty and staff. The Spirit of Aggieland is unmistakable. We are a unique American institution, fostering a culture of friendliness, compassion and respect for one another. Our unique history and rich traditions make Texas A&M special. From our benefits package and professional development opportunities to our retirement programs, Texas A&M is a great place to work. Your path to a great career starts here! Equal Opportunity/Veterans/Disability Employer. If you need assistance in applying for this job, please contact . Useful Links: Benefit Programs Retirement Employee Discount Program Flexible Spending Accounts University Holidays Legal Statements New Employee Onboarding Prospective Employees Safety and Security Notices Training and Development USERRA Nondiscrimination Notice
