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Ups Computer Science Jobs (NOW HIRING)

DZSP|21

Working knowledge of UPS deployment and configuration. Familiar with updating or creating hardware ... Computer Science, BA in Computer Information Systems, or other Bachelor's Degree. Other ...

Chugach Electric Association

CAD Technician

Anchorage, AK · On-site

$39.47 - $47.37/hr

Provides resource estimations, periodic status repo11s, and write-ups of CAD activities. * May ... science, surveying technology, engineering, urban planning, cartography, geography, or related ...

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All JobsUps Computer Science Jobs

Ups Computer Science information

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$24.5K

$48.4K

$79K

How much do ups computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ups computer science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer scientist at UPS, and why are they important?

To thrive as a Computer Scientist at UPS, you need a solid background in computer science principles, programming languages (such as Java, Python, or C++), and a relevant degree in computer science or a related field. Familiarity with software development tools, database management systems, and cloud platforms is typically required, along with certifications like AWS Certified Solutions Architect or CompTIA Security+. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and adapting to technological changes. These skills ensure the development and maintenance of efficient, secure, and innovative systems that support UPS's logistics and business operations.

What is the difference between Ups Computer Science vs Software Developer?

AspectUps Computer ScienceSoftware Developer
Required CredentialsBachelor's in Computer Science or related field, certifications like CompTIA or CiscoBachelor's in Computer Science, Software Engineering, or related field; certifications vary
Work EnvironmentIT departments, technical support, network managementDesigning, coding, testing software applications in tech companies or firms
Employer & Industry UsageIT service providers, corporate IT departmentsTech companies, startups, software firms
Common Search & ComparisonYesYes

Ups Computer Science professionals typically focus on network infrastructure, system support, and technical troubleshooting, often working within IT departments. Software Developers primarily design and build software applications, working in development teams. While both roles require a computer science background, their daily tasks and work environments differ significantly.

What types of projects do computer science professionals at UPS typically work on, and how do these projects impact daily operations?

Computer Science professionals at UPS often work on projects such as optimizing logistics algorithms, developing internal software tools, enhancing cybersecurity measures, and improving package tracking systems. These projects directly support the efficiency and reliability of UPS’s delivery network, enabling faster and more accurate service for customers. Team members usually collaborate closely with operations, data analytics, and IT infrastructure teams, ensuring that solutions are scalable and aligned with business needs.

What is a UPS computer science job?

UPS Computer Science jobs involve using technology and software development skills to support the operations of UPS, one of the world's largest package delivery companies. These roles can include tasks such as developing and maintaining logistics software, optimizing delivery routes, managing databases, and ensuring network security. Employees in these positions work with various technologies to improve efficiency, data analysis, and customer service within the company. Typical job titles might include software engineer, systems analyst, or IT support specialist. UPS values innovative thinkers who can help streamline their complex logistics operations through technical solutions.

Are computer science graduates struggling to find jobs?

Computer science graduates often find good job opportunities due to high demand for skills in programming, software development, and data analysis. However, competition can be strong, and having practical experience, certifications, or knowledge of in-demand tools like cloud platforms can improve employment prospects.
More about Ups Computer Science jobs
What cities are hiring for Ups Computer Science jobs? Cities with the most Ups Computer Science job openings:
What states have the most Ups Computer Science jobs? States with the most job openings for Ups Computer Science jobs include:
What job categories do people searching Ups Computer Science jobs look for? The top searched job categories for Ups Computer Science jobs are:
Ups Computer Science jobs near you
Infographic showing various Ups Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

Computer Science Subject Matter Expert (AI Training)

Weekday AI

Remote

Contractor

Re-posted 10 days ago

Job description

This role is for one of our clients
$20 - $40/hourpay
Role Title: Computer Science Subject Matter Expert (AI Training)
Role Type: Contractor
Location: Remote
We are seeking a Computer Science Subject Matter Expert to contribute to the development of next-generation AI systems by applying deep technical expertise to real-world computer science challenges. In this role, you will analyze, evaluate, and create high-quality technical content that enhances the reasoning, accuracy, and performance of AI models. Prior experience in Artificial Intelligence is not required-your expertise in Computer Science is the primary qualification.
Requirements
Key Responsibilities
Technical Analysis & Problem Solving
  • Analyze and evaluate complex computer science problems, solutions, and methodologies across various domains.
  • Assess technical approaches and recommend well-structured, scalable, and efficient solutions based on industry best practices.
  • Ensure technical accuracy, logical consistency, and clarity in all deliverables.
Content Development & Documentation
  • Author, review, and refine technical documentation, including system design documents, research papers, technical specifications, and architecture write-ups.
  • Develop real-world computer science scenarios, datasets, and case studies to support AI model training and evaluation.
  • Create structured technical explanations that improve AI understanding and reasoning.
AI Model Evaluation
  • Review AI-generated responses for technical correctness, completeness, and adherence to computer science principles.
  • Identify inaccuracies, inconsistencies, and opportunities for improvement while providing constructive feedback.
  • Support the evaluation and continuous enhancement of AI-driven tools through domain expertise.
Collaboration & Quality Improvement
  • Work closely with project coordinators and subject matter experts to refine task guidelines and improve data quality.
  • Provide clear written and verbal feedback to enhance AI model relevance, robustness, and performance.
  • Collaborate in a remote environment while maintaining high-quality deliverables and documentation.
Required Skills & Qualifications
  • Bachelor's, Master's, or PhD in Computer Science or a related field.
  • Strong understanding of core computer science concepts, including algorithms, data structures, operating systems, databases, networking, and software engineering.
  • Experience writing technical documentation, research papers, system design documents, or technical reports.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts clearly.
  • Ability to work independently and deliver high-quality work in a remote environment.
Preferred Qualifications
  • Expertise in one or more specialized domains such as:
    • Algorithms & Data Structures
    • Distributed Systems
    • Computer Networks
    • Databases
    • Artificial Intelligence & Machine Learning
    • Cloud Computing
    • Cybersecurity
  • Experience participating in technical reviews, research projects, or open-source contributions.
  • Proven ability to simplify complex technical concepts for both technical and non-technical audiences.
  • Familiarity with current trends and emerging technologies in computer science.
Must-Have Skills
  • Computer Science
  • Algorithms & Data Structures
  • System Design
  • Technical Documentation
  • Problem Solving

Good-to-Have Skills
  • Distributed Systems
  • Databases
  • Networking
  • Artificial Intelligence
  • Research & Publications
  • Open Source Contributions
  • Software Engineering
  • Technical Reviews

Apply