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Computer Science Fresh Graduate Jobs in Chicago, IL

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

... graduate-level training to challenge, audit, and refine cutting-edge AI models - exposing their ... Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a ...

IMC

Graduate Trading Operations Specialist

Chicago, IL

$200K/yr

Recent university graduate or current university student graduating before August 2026 with a ... Mathematics, Computer Science, Physics, Econometrics, or related field) * Strong quantitative skill ...

DePaul

Adjunct Faculty in Database

Chicago, IL · On-site

DePaul's graduate and undergraduate Computer Science programs are the premier training ground for computing professionals in the Chicago area. Our M.S. program in Computer Science includes one ...

IMC

Graduate Trading Operations Specialist

Chicago, IL · On-site

$200K/yr

Recent university graduate or current university student graduating before August 2026 with a ... Mathematics, Computer Science, Physics, Econometrics, or related field) * Strong quantitative skill ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114.50K - $194.70K/yr

Computer Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferredActs as a resource ...

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Computer Science Fresh Graduate information

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$92.3K

$110.8K

$126.8K

How much do computer science fresh graduate jobs pay per year?

As of May 28, 2026, the average yearly pay for computer science fresh graduate in Chicago, IL is $110,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $120,100.00 per year, depending on experience, location, and employer.

What is a Computer Science Fresh Graduate job?

A Computer Science Fresh Graduate job is an entry-level position designed for individuals who have recently completed a degree in computer science or a related field. These roles typically involve tasks like software development, database management, IT support, or cybersecurity, depending on the employer. Companies hire fresh graduates to train them in industry practices and align their skills with organizational needs. Common job titles include Software Engineer, IT Support Specialist, and Data Analyst. Employers look for strong programming skills, problem-solving abilities, and a willingness to learn new technologies.

What are the key skills and qualifications needed to thrive in the Computer Science Fresh Graduate position, and why are they important?

To thrive as a Computer Science Fresh Graduate, you need a solid understanding of programming languages, data structures, algorithms, and software development principles, typically proven by a bachelor's degree in computer science or a related field. Familiarity with industry-standard tools like Git, integrated development environments (IDEs), and possibly certifications in areas such as cloud computing or cybersecurity can be advantageous. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills will help you stand out. These competencies are crucial for adapting to varied technical tasks, succeeding in collaborative projects, and quickly growing in the fast-evolving tech industry.

What types of projects and responsibilities can a Computer Science Fresh Graduate expect in their first role?

As a Computer Science Fresh Graduate, you can typically expect to contribute to coding, debugging, testing, and maintaining software applications under the guidance of more experienced team members. You'll often collaborate closely with engineers, designers, and sometimes clients to deliver project goals and learn best practices. Initial responsibilities may also include participating in code reviews, writing documentation, and assisting in troubleshooting technical issues. These projects are designed to help you build industry experience, strengthen your technical skills, and prepare for more advanced assignments or leadership roles over time.
More about Computer Science Fresh Graduate jobs
What are the most commonly searched types of Computer Science Fresh Graduate jobs in Chicago, IL? The most popular types of Computer Science Fresh Graduate jobs in Chicago, IL are:
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What job categories do people searching Computer Science Fresh Graduate jobs in Chicago, IL look for? The top searched job categories for Computer Science Fresh Graduate jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Computer Science Fresh Graduate jobs? Cities near Chicago, IL with the most Computer Science Fresh Graduate job openings:
Computer Science Fresh Graduate jobs near you
Infographic showing various Computer Science Fresh Graduate job openings in Chicago, IL as of May 2026, with employment types broken down into 9% Internship, 70% Full Time, 16% Part Time, and 5% Temporary. Highlights an 84% In-person, 2% Hybrid, and 14% Remote job distribution, with an average salary of $110,827 per year, or $53.3 per hour.

Data Scientist (Masters)

Alignerr

Chicago, IL • Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist (Masters) - AI Data Trainer
About the Role
What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason through complex problems? We're looking for data scientists with graduate-level training to challenge, audit, and refine cutting-edge AI models - exposing their blind spots and building them into more reliable, rigorous tools.
This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Develop complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Write rigorous, step-by-step technical solutions - including Python/R scripts, SQL queries, and mathematical derivations - that serve as the gold standard for evaluating AI outputs
  • Audit AI-Generated Code
    - Evaluate AI-produced code using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness
  • Sharpen AI Reasoning
    - Identify logical failures in AI outputs - data leakage, overfitting, improper handling of imbalanced datasets - and deliver structured feedback that improves how models think
  • Document Failure Modes
    - Systematically record where and how AI reasoning breaks down to help research teams harden model performance
Who You Are
  • Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
  • Solid foundational knowledge across core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
  • Able to communicate complex algorithmic concepts and statistical findings clearly and concisely in writing
  • Naturally precise - you catch errors in code syntax, mathematical notation, and statistical logic that others overlook
  • Self-directed and reliable when working independently on task-based assignments
  • No prior AI or data annotation experience required
Nice to Have
  • Prior experience with data annotation, data quality assurance, or AI evaluation systems
  • Familiarity with production-level data science workflows - MLOps, CI/CD for models, or similar
  • Hands-on experience across multiple modelling domains or industry verticals
  • Background in academic research or technical writing
Why Join Us
  • Work directly with industry-leading AI research labs on frontier model development
  • Fully remote and asynchronous - work when and where it suits you
  • Freelance autonomy with meaningful, intellectually engaging work
  • High-impact contributions: your expertise directly shapes how advanced AI systems reason about data science
  • Potential for ongoing contracts and project renewals as new AI initiatives launch

Apply