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Computer Science Internship No Experience Jobs in Springfield, IL

Menards

Management Internship

Springfield, IL

$14.75 - $20/hr

Management Internship SPRINGFIELD, IL (SOUTH) Part Time $16.00 Per Hour Part-Time Make BIG Money at ... experience. Apply today! We are hiring immediately and are excited to talk to you about the great ...

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$17.5K

$39.6K

$91.4K

How much do computer science internship no experience jobs pay per year?

As of May 29, 2026, the average yearly pay for computer science internship no experience in Springfield, IL is $39,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,993.00 and $42,575.00 per year, depending on experience, location, and employer.

What is a Computer Science Internship No Experience job?

A Computer Science Internship with no experience is an entry-level opportunity for students or beginners to gain hands-on experience in the field. These internships typically involve tasks like coding, debugging, software testing, and assisting with projects under the guidance of experienced professionals. Employers expect candidates to have basic programming knowledge, problem-solving skills, and a willingness to learn. It's a great way to build your resume, gain industry exposure, and develop practical skills for future job opportunities.

What are the key skills and qualifications needed to thrive in the Computer Science Internship No Experience position, and why are they important?

To thrive as a Computer Science Intern with no prior experience, you should have a basic understanding of programming concepts, problem-solving abilities, and a willingness to learn, often gained through coursework or personal projects. Familiarity with languages like Python or Java, version control tools such as Git, and exposure to basic software development environments are typically beneficial. Strong communication, teamwork, and time management skills set candidates apart by enabling effective collaboration and adaptability. These skills and qualities are crucial as they help interns quickly integrate into tech teams and contribute meaningfully to ongoing projects.

What types of projects or tasks can I expect to work on as a Computer Science Intern with no prior experience?

As a Computer Science Intern without previous work experience, you'll typically assist with entry-level programming, debugging, or testing tasks under the guidance of experienced team members. You may also help maintain documentation, participate in group code reviews, or contribute to research and development projects. Interns often collaborate closely with engineers and fellow interns, providing a supportive environment for learning industry best practices. These responsibilities are designed to help you build practical skills and gain real-world exposure, setting a strong foundation for future career growth in tech.
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Decision Scientist - AI Trainer

Decision Scientist - AI Trainer

DataAnnotation

Springfield, IL • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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