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Entry Level Computer Science Artificial Intelligence Jobs in Dallas, TX

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field. * AI & LLM Foundational Knowledge: * Hands-on experience ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field. * AI & LLM Foundational Knowledge: * Hands-on experience ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field. * AI & LLM Foundational Knowledge: * Hands-on experience ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field. AI & LLM Foundational Knowledge: Hands-on experience or ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field. AI & LLM Foundational Knowledge: Hands-on experience or ...

BakerHostetler

Patent Scientist

Dallas, TX · On-site

$70K - $75K/yr

... Computer Science education in a practice that combines science, technology, and intellectual ... Coursework or practical experience in artificial intelligence, machine learning, semiconductor ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... artificial intelligence/machine learning On call support Qualifications and Education Requirements Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

... artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

... artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

... artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and ...

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All JobsComputer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence Jobs in Dallas, TX

Entry Level Computer Science Artificial Intelligence information

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$13

$16

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

As of Aug 8, 2026, the average hourly pay for entry level computer science artificial intelligence in Dallas, TX is $16.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $17.12 per hour, depending on experience, location, and employer.

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 with relevant internships, certifications, or knowledge of AI tools like Python and TensorFlow have better prospects. Staying current with industry trends and developing practical skills are important for entry-level applicants in this field.

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.

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 are the most commonly searched types of Computer Science Artificial Intelligence jobs in Dallas, TX? The most popular types of Computer Science Artificial Intelligence jobs in Dallas, TX are:
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What cities near Dallas, TX are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities near Dallas, TX with the most Entry Level Computer Science Artificial Intelligence job openings:
Entry Level Computer Science Artificial Intelligence jobs near you
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Dallas, TX as of June 2026, with employment types broken down into 4% As Needed, 53% Full Time, 31% Part Time, 5% Temporary, 4% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $34,820 per year, or $16.7 per hour.

Software Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Part-time

Re-posted 24 days ago

Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

11th of 17 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications.
Core Duties & Responsibilities:
  • AI Integration & Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications.
  • Full-Stack Engineering: Develop efficient, secure, and real-time applications, peer-review code, and document solutions within an agile-blended software environment.
  • AI Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.
  • Collaboration: Communicate proactively with teammates, AI research, infrastructure, security, and QA teams to continuously improve processes and engineering excellence.
  • Concurrency & Scalability: Write highly concurrent, multi-threaded Java backend services capable of handling real-time AI inference and data streaming.

Required Skills:
  • Education: Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
  • AI & LLM Foundational Knowledge:
    • Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face).
    • Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.
    • Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).
  • Backend & Concurrency (Java/Spring):
    • Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs), and MVC.
    • Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency).
    • Experience writing Unit tests using JUnit and mocking frameworks.
  • Frontend (React/Modern JS):
    • Experience with JavaScript/TypeScript, HTML5, CSS, and modern client-side frameworks (preferably ReactJS or Next.js for building AI chat interfaces and dashboards).
    • Ability to work on real-time web applications (WebSockets, Server-Sent Events for streaming AI responses).
  • Soft Skills & Mindset:
    • Excellent problem-solving skills and a strong mathematical/logical foundation.
    • Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools.
    • Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment.
    • Skilled in technical writing, including documenting AI system architectures and data flows.

Additional Skills (Nice to Haves):
  • AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
  • Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
  • Data & Databases:
    • Experience writing SQL and stored procedures.
    • Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.
  • DevOps & Deployment:
    • Experience with Git, Maven, and CI/CD tools (Jenkins, GitHub Actions).
    • Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services.
    • Basic knowledge of Unix/Linux environments

#L1-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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