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Entry Level Ai Computer Science information

What are the key skills and qualifications needed to thrive as an Entry Level AI Computer Scientist, and why are they important?

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 are some typical projects or tasks an entry-level AI computer science professional might work on during their first year?

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 entry level AI computer science jobs?

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 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 are the most commonly searched types of Ai Computer Science jobs in Texas? The most popular types of Ai Computer Science jobs in Texas are:
What are popular job titles related to Entry Level Ai Computer Science jobs in Texas? For Entry Level Ai Computer Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Computer Science jobs in Texas look for? The top searched job categories for Entry Level Ai Computer Science jobs in Texas are:
What cities in Texas are hiring for Entry Level Ai Computer Science jobs? Cities in Texas with the most Entry Level Ai Computer Science job openings:
Entry Level Ai Computer Science jobs near you
AI Engineer (Entry-Level)

AI Engineer (Entry-Level)

United Smart Tech

Carrollton, TX • On-site

Full-time

Posted yesterday

Job description

Salary: $20-$23/hour

AI Engineer (Entry-Level) Agents & Experimentation


For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help people stay connected by providing expert advice, reliable repair services, and device protection across all their technology.


We are looking for an entry-level AI Engineer to join our internal AI lab and help build, test, and deploy AI-powered agents across business workflows. This role is ideal for someone who learns by doing, thrives in ambiguity, and is excited about experimenting with cutting-edge AI models and tools.

You will work closely with cross-functional teams to turn early ideas into working prototypes and explore where AI can create real operational impact.



What Youll Do

  • Build and deploy AI agents for internal tools and customer-facing use cases
  • Experiment with frontier and open-source models (e.g., Claude, GPT-based models, and emerging frameworks)
  • Rapidly prototype ideas, test performance, and iterate based on results
  • Integrate AI models with APIs, workflows, and business systems
  • Research and apply new AI tools, libraries, and agent frameworks as they emerge
  • Collaborate with teams to identify opportunities where AI can improve efficiency or automation



What Were Looking For

  • Bachelors degree in Computer Science, Engineering, or related field (completed or in progress)
  • Strong programming skills, preferably in Python
  • Experience working with APIs and basic backend integration
  • Demonstrated curiosity in AI/ML through personal projects, experiments, or coursework
  • High ownership mindset able to take vague problems and build solutions independently
  • Comfortable working in fast-changing environments with minimal structure
  • Strong problem-solving and experimentation mindset



Nice to Have

  • Experience building personal AI projects, bots, or automation tools
  • Familiarity with LLM APIs, prompt engineering, or agent frameworks
  • Exposure to cloud platforms or deployment tools
  • GitHub portfolio or live projects


Note: AI Projects Portfolio Request

Please prepare a portfolio showcasing the AI projects completed so far. The portfolio should include a brief description of each project, its purpose, key features, tools/technologies used, and the current status or outcomes. This will help provide a clear overview of the work completed to date.


uBreakiFix is an equal-opportunity employer, dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.