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Entry Level Computer Science Artificial Intelligence Jobs in Philadelphia, PA

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field * Foundational programming skills in Python and an understanding of SQL.

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field * Foundational programming skills in Python and an understanding of SQL.

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field * Foundational programming skills in Python and an understanding of SQL.

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All JobsComputer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence Jobs in Philadelphia, PA

Entry Level Computer Science Artificial Intelligence information

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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 Philadelphia, PA is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $17.45 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 Philadelphia, PA? The most popular types of Computer Science Artificial Intelligence jobs in Philadelphia, PA are:
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What cities near Philadelphia, PA are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities near Philadelphia, PA 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 Philadelphia, PA as of June 2026, with employment types broken down into 52% Full Time, 41% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $35,519 per year, or $17.1 per hour.

Data Engineer, DA&AI Co-Op

Campbell's

Camden, NJ • On-site

$115K - $138K/yr

Full-time

Re-posted 27 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Data Engineer / AI Engineer (Co-op)

We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of Generative AI and automation. You will have the opportunity to learn and work with cutting-edge technologies within our Agentic Frameworks to refine their usage in a modern Databricks environment. If you are passionate about the future of AI and eager to build "intelligent" systems, we want to hear from you!

Key Responsibilities

  • Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.
  • AI Training: Provide feedback to enhance and optimize the output of agents.
  • Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs.
  • Monitor Model Performance: Identify "hallucinations" or inconsistencies in AI responses and suggest improvements for model grounding.
  • Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies.
  • Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers.
  • Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.

Learning & Development Opportunities

  • Hands-on training in Generative AI and Agentic technologies.
  • Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.
  • Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake).

Qualifications

  • Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
  • Foundational programming skills in Python and an understanding of SQL.
  • Familiarity with AI concepts through coursework or personal projects.
  • Excellent problem-solving skills and a high degree of technical curiosity.
  • Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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