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Entry Level Computer Science Artificial Intelligence Jobs in Houston, TX

Associate Data Scientist

Houston, TX · On-site

$70K - $105K/yr

Required skills and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. Minimum of 15 months of ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Analytics/Science, Artificial Intelligence and Robotics - At least one of the following:

Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics ... Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence ...

Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics ... Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence ...

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

... Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial ... Intelligence, or a related field. * Strong analytical and problem-solving abilities, paired with a ...

Patent Agent

Houston, TX · On-site

$150 - $200/hr

... computer science, or physics. Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging, and ...

Patent Agent

Houston, TX · On-site

$140K - $240K/yr

... computer science, or physics. Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging, and ...

Showing results 21-40

Entry Level Computer Science Artificial Intelligence information

See Houston, TX salary details

$13

$16

$19

How much do entry level computer science artificial intelligence jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level computer science artificial intelligence in Houston, TX is $16.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $16.54 per hour, depending on experience, location, and employer.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

Can I get an entry level computer science artificial intelligence job with no experience?

Entry level computer science artificial intelligence positions often require some foundational knowledge in programming, algorithms, and machine learning, but many employers consider candidates with relevant coursework, personal projects, or certifications even without formal work experience. Building skills in languages like Python and tools such as TensorFlow can improve your chances, and internships or online courses can help demonstrate your abilities to employers.

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates often need foundational knowledge in programming languages like Python and familiarity with AI frameworks to succeed.

What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Houston, TX?

For Entry Level Computer Science Artificial Intelligence jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Houston, TX look for?

The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Houston, TX are:

What cities near Houston, TX are hiring for Entry Level Computer Science Artificial Intelligence jobs?

Cities near Houston, TX with the most Entry Level Computer Science Artificial Intelligence job openings:

Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Houston, TX as of June 2026, with employment types broken down into 45% Full Time, 47% Part Time, 2% Temporary, 3% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $33,615 per year, or $16.2 per hour.

Associate Data Scientist

United Airlines

Houston, TX • On-site

$70K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 343 frontline employees who took The Breakroom Quiz

8th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location

Houston TX

Your Role

Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients. 

We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills. 

Key Responsibilities 

Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector. 

Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions. 

Support data collection, cleaning, and preprocessing activities for AI initiatives. 

Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services. 

Utilize platforms such as Databricks, PySpark, and modern AI frameworks. 

Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency. 

Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders. 

Contribute to project documentation, reports, and client deliverables. 

Develop reusable assets, demos, and solution accelerators. 

Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape. 

Foster a collaborative environment, actively sharing knowledge and best practices within the team. 

Required skills and Experience

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. 

Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles. 

Demonstrable background in the Energy & Utilities sector. 

Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts. 

Proficiency in at least one AI-centric programming language (e.g., Python). 

Experience with: 

Generative AI concepts (GPT, Claude, LLMs) 

MLOps, model deployment, and monitoring 

LangChain and Retrieval-Augmented Generation (RAG) concepts 

REST APIs, JSON, Authentication, and Integration patterns 

Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy) 

Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis) 

Strong analytical, problem-solving, and critical thinking skills. 

Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations. 

Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment. 

 

The base compensation range for this role in the posted location is $70,000- $105,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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