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Entry Level Ai Computer Science Jobs in Houston, TX

What You'll Bring • Bachelor's degree in Computer Science, Software Engineering, Computer ... AI-enabled development tools, cloud technologies, frameworks and other emerging technologies based ...

... Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information ...

... Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information ...

What You'll Bring • Bachelor's degree in Data Science, Information Systems, Computer Science ... AI engineering and analysis concepts and technologies, such as object-oriented programming ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Computer Science, or a related field. • Authorization to work in the United States on a permanent ... using AI-enabled tools, automation, and modern technologies to support technical analysis and ...

FWI & AI Scientist Lead the development of the FWI Foundation Model Design and scale a ... Required Qualifications PhD/MS in Geophysics, Applied Math, Physics, Computer Science, or ...

Showing results 21-40

Entry Level Ai Computer Science information

See Houston, TX salary details

$28.2K

$95.8K

$230.6K

How much do entry level ai computer science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for entry level ai computer science in Houston, TX is $95,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $101,200.00 per year, depending on experience, location, and employer.

What is an entry level AI computer science job?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What do entry level AI computer science professionals do?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.

What are the key skills and qualifications needed to thrive as an entry level AI computer scientist?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

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

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

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

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

Infographic showing various Entry Level Ai Computer Science job openings in Houston, TX as of September 2026, with employment types broken down into 32% Internship, 32% Full Time, and 36% Part Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $95,751 per year, or $46 per hour.

Data Science & AI Engineering Internship

Houston, TX • On-site

Fervo Energy Company
Clean Energy Semiconductors Manufacturing • 11 - 50 employees

Full-time, Internship

Posted 6 days ago


Job description

Internship Overview
You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next.
Position Description
Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station development in Milford, Utah. As a Data & AI Engineer Intern, you'll join Fervo's Data Science team to help build the data pipelines and AI infrastructure that power the company's analytics and machine learning efforts.
You'll work alongside data scientists and engineers to design, build, and maintain data pipelines, and support the infrastructure that gets AI models into production.
Requirements
Responsibilities
  • Build and maintain data pipelines and ETL processes
  • Support deployment and monitoring of machine learning models in production
  • Help design and maintain data infrastructure and architecture
  • Collaborate with data scientists to productionize models and analyses

Required Qualifications
  • Rising Junior, Senior, Master's/MBA candidate wrapping up within the next year, or PhD candidate - we're building a pipeline toward full-time offers
  • Pursuing a degree in Computer Science, Data Engineering, or a related technical field
  • Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership
  • Eagerness to learn, take initiative, and adapt quickly to new challenges
  • Proficiency in Python and SQL

Preferred Qualifications
  • Experience with cloud data platforms (e.g., AWS, Azure, Snowflake, Databricks)
  • Familiarity with MLOps tools and practices
  • Experience with big data tools (e.g., Spark, Airflow)