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Ai Research Assistant Jobs in Ruston, LA (NOW HIRING)

Ai Research Assistant information

See Ruston, LA salary details

$6

$17

$25

How much do ai research assistant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai research assistant in Ruston, LA is $17.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $20.58 per hour, depending on experience, location, and employer.

What is an AI Research Assistant?

An AI Research Assistant is a professional who supports artificial intelligence research projects by performing tasks such as data collection, literature reviews, running experiments, and analyzing results. They often work alongside AI researchers and engineers to help develop new algorithms, models, or applications in machine learning and related fields. The role may involve programming, using statistical tools, and staying updated on the latest advancements in AI. AI Research Assistants are commonly found in academic, corporate, or research lab environments. Their work is crucial for advancing the field and supporting innovation in AI.

What are some common challenges faced by AI Research Assistants when working on collaborative projects?

AI Research Assistants often collaborate with multidisciplinary teams, including data scientists, software engineers, and senior researchers. One common challenge is ensuring clear communication of complex technical findings to team members with varying expertise. Balancing multiple projects with competing deadlines can also be demanding, requiring strong organizational skills. Additionally, rapidly evolving research topics may necessitate frequent upskilling and adaptability to new tools and methodologies.

What are the key skills and qualifications needed to thrive as an AI Research Assistant, and why are they important?

To thrive as an AI Research Assistant, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with research teams and interpret complex results. These skills are essential for contributing to innovative AI projects, ensuring accurate research outcomes, and supporting the advancement of artificial intelligence.

What is the difference between Ai Research Assistant vs Data Scientist?

AspectAi Research AssistantData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academic settingsBusiness, tech companies, analytics teams
Industry UsageAI research projects, academic research, R&D departmentsData analysis, predictive modeling, business insights
Common Search IntentUnderstanding AI research roles, entry-level AI research jobsData analysis careers, data-driven decision making

While both roles involve working with data and algorithms, an Ai Research Assistant primarily supports AI research projects, focusing on developing and testing AI models. A Data Scientist, on the other hand, analyzes data to generate insights and inform business decisions. The roles often overlap in skills and credentials but differ in their core focus and work environment.

How much do AI research assistants make?

AI research assistants typically earn between $50,000 and $90,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in machine learning and data analysis can earn higher salaries, often with opportunities for growth in research environments or tech companies.

How to become an AI research assistant?

To become an AI research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, often holding a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks, and familiarity with research methodologies are essential. Gaining experience through internships, academic projects, or contributing to research papers can improve prospects in this role.

What job categories do people searching Ai Research Assistant jobs in Ruston, LA look for?

The top searched job categories for Ai Research Assistant jobs in Ruston, LA are:

What cities near Ruston, LA are hiring for Ai Research Assistant jobs?

Cities near Ruston, LA with the most Ai Research Assistant job openings:

Infographic showing various Ai Research Assistant job openings in Ruston, LA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $36,786 per year, or $17.7 per hour.

Assistant Professor, Computer Science

Louisiana Tech University

Ruston, LA

Full-time

Re-posted 18 days ago


Louisiana Tech University rating

6.7

Company rating: 6.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

491st of 628 rated colleges and universities


Job description

Thank you for your interest in employment with Louisiana Tech University.

The College of Engineering and Science (COES) at Louisiana Tech University invites applications for a tenure-track faculty position in the Computer Science program. We seek highly qualified, research-active scholars specializing in cybersecurity and cyber operations. Candidates with expertise combining cybersecurity with artificial intelligence, machine learning, quantum computing, robotics, smart health, the Internet of Things (IoT), and cyber-physical systems are encouraged to apply.

Louisiana Tech University, recognized as a national university by the 2024 U.S. News & World Report, is designated as a Center of Academic Excellence in Cybersecurity for Cyber Defense (CAE-CD) and Cyber Research (CAE-R). The College of Engineering and Science is deeply committed to advancing cybersecurity research and education, addressing critical challenges such as cyber resilience, critical infrastructure protection, and emerging cyber threats. Faculty research efforts are supported by specialized research centers, including the Cybersecurity Applied Innovation Laboratory (CyAIL) and the Center for Secure Cyberspace (CSC), which facilitate collaborative research and provide opportunities for securing external research funding.

The College is experiencing significant growth, with nearly 3,000 students, including approximately 130 doctoral students among 300 graduate students. Annual research expenditures within the College have averaged $16 million over the past five years. The Computer Science program serves approximately 550 undergraduate majors and is the second-largest degree granting program at the university. Louisiana Tech offers multiple computing-oriented degree programs that support cybersecurity research and education, including the B.S. and M.S. in Computer Science, B.S. in Cyber Engineering, Ph.D. in Computational Analysis and Modeling (CAM), and Ph.D. in Engineering with a concentration in Cyberspace.

With the increasing frequency, sophistication, and impact of cyber threats, there is a pressing need for cutting-edge research and innovative educational programs in cybersecurity. Louisiana Tech is committed to strengthening its research and teaching capabilities in areas such as cyber threat intelligence and mitigation, reverse engineering and digital forensics, cyber operations and resilience, cryptography and secure communication, AI and machine learning for cybersecurity, cyber-physical systems and IoT security, and quantum computing and post-quantum cryptography. Candidates whose research addresses interdisciplinary cybersecurity challenges or integrates emerging technologies with security applications are particularly encouraged to apply.

Successful candidates must hold a Ph.D. in Computer Science or a closely related field and demonstrate a strong record of scholarly achievement, including peer-reviewed publications and the potential to establish a robust, externally funded research program. Candidates should exhibit a commitment to excellence in teaching, with the ability to develop and deliver cybersecurity-focused curricula at both the undergraduate and graduate levels. They should also have a proven ability to mentor and advise students, along with strong written and oral communication skills. Faculty members are expected to conduct high-impact research, publish in leading academic venues, secure extramural research funding, develop and teach cybersecurity-related courses, engage in interdisciplinary collaborations, and contribute to the university's broader mission through service and leadership.

Applicants should submit a single PDF document containing a cover letter, detailed curriculum vitae, research statement, teaching statement, and full contact information for at least four references. Applications will be reviewed immediately and will continue until suitable candidates are identified. The anticipated start date for the position is September 1, 2025.

Louisiana Tech is an Equal Opportunity/Affirmative Action/ADA Employer and places a high priority on the creation of an environment supportive of ethnic minorities, women, veterans, and persons with disabilities.

Posting Close Date: This position will remain open until filled.

Please Note: Applications must be completed by 11:59 p.m. on the Job Closing Date to ensure consideration.

Note to Applicant:

Applicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications in their cover letter. The search committee will use this information during the initial review of application materials.

References will be contacted at the appropriate phase of the recruitment process.

This position may require a criminal background check to be conducted on the candidate(s) selected for hire.

As part of the hiring process, applicants for positions at the Louisiana Tech University may be required to demonstrate the ability to perform job-related tasks.


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