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Weekday Ibm Computer Science Jobs (NOW HIRING)

... computer science Strong fundamentals in data structures, algorithms and distributed computing Extensive technology knowledge including but not limited to LDAP, JMS, Web service, java, SQL, email ...

Senior Data Scientist

New York, NY · On-site

$181K - $211K/yr

... IBM Cloud, AWS, Azure). Required: Master's degree or equivalent in Computer Science, Data Science, Statistics, Mathematics, Engineering or related (employer will accept a Bachelor's degree plus five ...

$18.50 - $24.25/hr

Many interns join IBM with a foundation in computer science, software engineering, or related technical disciplines and develop specialized expertise through mentorship, structured learning ...

Senior Data Scientist

Manhattan, NY · On-site

$150 - $200/hr

... IBM Cloud, AWS, Azure). Required: Master's degree or equivalent in Computer Science, Data Science, Statistics, Mathematics, Engineering or related (employer will accept a Bachelor's degree plus five ...

Introduction IBM Research is seeking a highly motivated PhD student to join the AI Native Systems ... Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering ...

Introduction IBM Research is seeking a highly motivated PhD student to join the AI Native Systems ... Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering ...

Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

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How much do weekday ibm computer science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for weekday ibm computer science in the United States is $80,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $111,500.00 per year, depending on experience, location, and employer.

What is a Weekday IBM Computer Science job?

A Weekday IBM Computer Science job typically refers to a position at IBM that involves computer science-related work during standard weekday business hours. These roles can include software development, systems analysis, IT support, and research, among others. Employees in these positions use their knowledge of computer science to design, develop, and maintain software or systems for IBM’s clients and internal needs. Working on weekdays allows for a traditional work-life balance and collaboration with teams during regular business operations.

What types of projects do professionals in a Weekday IBM Computer Science role typically work on, and how do these contribute to team objectives?

In a Weekday IBM Computer Science role, professionals often engage in projects such as developing enterprise software solutions, optimizing data processing workflows, or implementing cloud-based services. These projects are usually collaborative, requiring close interaction with software engineers, project managers, and quality assurance teams to ensure solutions meet client needs and organizational standards. By contributing technical expertise and problem-solving skills, team members help drive innovation and operational efficiency within IBM's technology offerings.

What are the key skills and qualifications needed to thrive as an IBM Computer Science professional, and why are they important?

To thrive as an IBM Computer Science professional, a strong background in computer science fundamentals, programming languages (such as Java, Python, or C++), and a relevant degree are essential. Familiarity with IBM technologies like IBM Cloud, Watson, mainframes, and development tools, as well as certifications such as IBM Certified Solution Developer, are often required. Analytical thinking, problem-solving, teamwork, and effective communication are crucial soft skills for excelling in this environment. These skills ensure the ability to develop, implement, and support complex technology solutions that meet business needs within IBM's innovative ecosystem.
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Infographic showing various Weekday Ibm Computer Science job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $80,384 per year, or $38.6 per hour.

Applied Computer Science Benchmark Specialist

Remote

$66 - $84/hr

Contractor

Posted 23 days ago


Job description

This role is for one of our clients
Compensation: $66 - $84 per hour
We are seeking experienced computer science professionals to author and review high-quality academic assessment content for an AI research initiative. In this role, you will develop and validate rigorous multiple-choice questions across a broad range of computer science domains, assess solution quality, and help establish gold-standard benchmarks for evaluating advanced AI systems.
You will contribute through one of two primary task types:
Question Authoring - Develop original, challenging multiple-choice questions within your area of computer science expertise, assess their difficulty, and submit them for review.
Question Verification - Review existing questions for technical accuracy, clarity, completeness, and rigor. Make necessary edits, assess difficulty, and document the rationale behind your changes.
Requirements
Computer Science Domains
  • Accelerator / GPU Kernel Engineering
  • Formal Methods & Automated Reasoning
  • Computer Architecture & Accelerators
  • Distributed Systems
  • DevOps & Site Reliability Engineering
  • Data Engineering & Databases
  • Cloud Computing & Infrastructure
  • Operating Systems & Systems Kernel
  • Machine Learning Engineering
  • Web & API Development
  • Embedded Systems Engineering
  • Computer Graphics & Game Development
  • Mobile Engineering
Key Responsibilities
  • Create original computer science questions that evaluate deep conceptual understanding, technical reasoning, and problem-solving rather than surface-level recall.
  • Ensure every question is unambiguous, self-contained, technically accurate, and sufficiently specified for a qualified expert to solve.
  • Classify questions by difficulty:
    • Medium: Introductory undergraduate level
    • Hard: Advanced undergraduate level
    • Expert: Postgraduate level and above
  • Provide one correct answer alongside nine plausible but subtly incorrect alternatives designed to distinguish strong technical reasoning from superficial knowledge.
  • Develop clear, structured solution explanations that demonstrate the reasoning and technical principles required to reach the correct answer.
  • Provide 1-5 authoritative references per question, drawing from peer-reviewed research, academic publications, university resources, and other reputable technical sources.
  • For verification assignments, identify issues related to correctness, clarity, completeness, precision, or solvability and clearly explain the reasoning behind any recommended edits.
  • Apply consistent standards when evaluating questions and solutions to ensure benchmark quality and reproducibility.
Ideal Qualifications
  • PhD or doctoral candidacy in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
  • A Master's degree may be considered for candidates with exceptional expertise in a specialized computer science domain.
  • Strong command of graduate-level computer science theory, algorithms, systems, software engineering, architecture, and/or machine learning.
  • Demonstrated depth in one or more of the listed technical domains.
  • Research publications, substantial industry experience at leading technology organizations, systems engineering experience, or competitive programming experience is a strong plus.
  • Excellent written English and the ability to communicate complex technical concepts clearly, accurately, and concisely.
  • Strong attention to detail and the ability to distinguish technically valid solutions from plausible but incorrect approaches.
More About the Opportunity
  • Expected commitment: 10+ hours per week
  • Fully remote and asynchronous
  • Flexible scheduling based on project requirements
  • Opportunity to contribute to the development of high-quality benchmarks for evaluating advanced AI systems
  • Strong contributors may be considered for additional review, evaluation, or subject-matter expert opportunities
Application Process
Submit your resume or a summary of your relevant academic and professional background.
Selected candidates may be asked to complete a short technical assessment or provide additional information about their area of expertise.
Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations throughout the application and engagement process.
Contract and Payment Terms
  • Engagement will be on an independent contractor basis.
  • This is a fully remote opportunity that can be completed on your own schedule.
  • Projects may be extended, shortened, or concluded early depending on project requirements and performance.
  • Work will not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.
  • Payments are made weekly through Stripe or Wise, based on services rendered.
  • H-1B and STEM OPT candidates are not eligible for this opportunity at this time.