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Remote Co Op Computer Science Jobs in Illinois (NOW HIRING)

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Master's degree in Computer Science or a quantitative field plus 2 years of relevant industry ...

Senior Manager, Data Science

Chicago, IL · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics ...

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ...

Bachelor's degree in computer science or a related field required. 5 to 7 years' experience ... Control and direct test efforts of employees at remote sites when applicable. Maintain and update ...

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

This role can have a Hybrid or Remote work arrangement depending on experience and skillset ... Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or ...

Senior Commercial Insurance Analyst - Remote

Ohio, IL · Remote

$83K - $110K/yr

Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... Ability to coach and mentor co-workers and give feedback as required by using effective ...

This role will co-own business development and growth initiatives from a technical perspective ... D. or Master's) in Data Science, Computer Science, Statistics, or a related field. 18 to 20 years ...

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Remote Co Op Computer Science information

How do Remote Co-Op Computer Science roles typically facilitate mentorship and team collaboration despite the virtual setting?

Remote Co-Op Computer Science positions often leverage various collaboration tools such as Slack, Microsoft Teams, and Zoom to foster communication and mentorship. You'll participate in regular virtual stand-ups, code reviews, and project meetings, ensuring you stay connected with your team and receive guidance from senior engineers. Many companies assign a dedicated mentor or buddy to help you navigate both technical challenges and company culture. This structure allows you to build relationships, gain feedback, and make meaningful contributions without being onsite.

What is a Remote Co-Op in Computer Science?

A Remote Co-Op in Computer Science is a paid or unpaid work placement that allows students to gain real-world experience in their field while working from a location outside the traditional office, such as their home. These positions are typically part of a college or university's cooperative education program, blending academic learning with practical work experience. Students work on software development, data analysis, or IT projects under the supervision of professionals, helping them build technical skills and professional networks. Remote Co-Ops offer flexibility and can connect students with companies outside their local area, broadening their career opportunities.

What are the key skills and qualifications needed to thrive as a Remote Co-Op Computer Science student, and why are they important?

To thrive as a Remote Co-Op Computer Science student, you need a solid grasp of programming fundamentals, data structures, algorithms, and typically be pursuing or have completed coursework toward a computer science degree. Familiarity with version control systems like Git, collaborative platforms such as GitHub or Jira, and exposure to coding languages like Python, Java, or C++ are commonly expected. Strong communication, self-motivation, and time management are essential soft skills for remote teamwork and independent learning. These skills ensure you can effectively contribute to projects, adapt to remote workflows, and maximize your experiential learning.

What is the difference between Remote Co Op Computer Science vs Remote Software Intern?

AspectRemote Co Op Computer ScienceRemote Software Intern
CredentialsTypically enrolled in a computer science program, may require coursework or enrollment verificationUsually students pursuing a degree in computer science or related field, may need proof of enrollment
Work EnvironmentRemote, collaborative team settings, often part-time during academic termsRemote, project-based tasks, often part-time or summer internships
Employer & Industry UsageUsed by tech companies, startups, and corporations for student talent pipelinesCommonly offered by tech firms, startups, and software companies for skill development

Both roles are designed for students gaining practical experience in computer science. The main difference lies in the stage of education and the program structure: Co Op positions are typically part of a formal cooperative education program, while Software Internships are often summer or short-term roles. Both provide valuable industry exposure and skill development in remote settings.

What are the most commonly searched types of Remote Computer Science jobs in Illinois? The most popular types of Remote Computer Science jobs in Illinois are:
What job categories do people searching Remote Co Op Computer Science jobs in Illinois look for? The top searched job categories for Remote Co Op Computer Science jobs in Illinois are:
What cities in Illinois are hiring for Remote Co Op Computer Science jobs? Cities in Illinois with the most Remote Co Op Computer Science job openings:
Subject Matter Expert - Computer Vision -Remote

Subject Matter Expert - Computer Vision -Remote

Cognizant Technology Solutions

Chicago, IL • On-site, Remote

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
Role Summary
We are seeking an experienced Computer Vision Subject Matter Expert (SME) to lead the design and implementation of advanced vision solutions that enhance automation, safety, and operational efficiency across retail, warehouses, distribution centers, fulfillment centers, and manufacturing plants.
This role demands deep technical expertise in vision systems, edge computing, and cloud integration, combined with leadership and communication skills to drive enterprise-scale deployments.
Key Responsibilities
  • Solution Architecture: Define and implement scalable vision architectures for multi-site environments, ensuring reliability and performance.
  • Computer Vision Development: Build and optimize algorithms for object detection, tracking, anomaly detection, and quality assurance using frameworks like OpenCV, TensorFlow, and PyTorch.
  • Edge & Cloud Integration: Deploy vision models on resource-constrained devices and integrate with AWS, Azure, or GCP for centralized analytics and reporting.
  • Performance Optimization: Ensure low-latency inference, efficient resource utilization, and robust failover mechanisms for production systems.
  • Governance & Standards: Establish best practices for security, compliance, and data management in vision deployments.
  • Cross-Functional Collaboration: Work closely with operations, engineering, and business teams to align vision solutions with organizational goals.

Required Technical Skills
  • Computer Vision: Object detection, segmentation, tracking; OpenCV, TensorFlow, PyTorch.
  • Edge AI: NVIDIA Jetson, Intel Movidius; model optimization (TensorRT, quantization).
  • Cloud Platforms: AWS, Azure, or GCP for data processing and analytics.
  • Programming: Python, C++, containerization (Docker/Kubernetes).
  • Security & Compliance: Secure deployments, certificate management, and data privacy standards.

Soft Skills
  • Communication: Ability to convey complex technical concepts to diverse stakeholders.
  • Ownership & Accountability: Drive end-to-end delivery of vision solutions.
  • Collaboration: Partner effectively with cross-functional teams.
  • Problem-Solving: Analytical mindset for troubleshooting and optimization.
  • Leadership: Mentor teams and influence technology decisions.

Nice-to-Have
  • Experience with industrial automation and quality control systems.
  • Familiarity with large-scale deployments in retail or manufacturing environments.
  • Knowledge of regulatory compliance for video and image data.

Qualifications
  • Bachelor's/Master's in Computer Science, Electrical Engineering, or related field.
  • 10+ years in Computer Vision with 3+ years in enterprise-scale deployments.
  • Proven track record in designing and delivering production-grade vision systems.

KPIs & Success Metrics
  • Improved operational efficiency and automation across sites.
  • High system uptime and performance consistency.
  • Compliance with security and privacy standards.

Travel Requirement: This is a remote role with 30-40% travel to client sites and operational facilities.
Compensation: - $140,000 to $180,000 +/- and this position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Application will be accepted by 8/10/2026
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
#LI-CT1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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