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Remote Computer Science Certificate Jobs (NOW HIRING)

Upswing

Online Computer Science Tutor

Durham, NC · On-site +1

$14 - $16/hr

This is a remote position that allows tutors to work at nearly any location with reliable access to ... computer science * Have access to reliable, high-speed Internet, a quiet, distraction-free ...

Upswing

Online Computer Science Tutor

Durham, NC · Remote

$14 - $16/hr

This is a remote position that allows tutors to work at nearly any location with reliable access to ... computer science * Have access to reliable, high-speed Internet, a quiet, distraction-free ...

Booz Allen Hamilton, Inc.

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246464 Location: Aurora,CO,US Share job via: Share Computer Scientist, Mid The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

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Remote Computer Science Certificate information

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$24.5K

$48.4K

$79K

How much do remote computer science certificate jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote computer science certificate 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 is a remote computer science certificate?

A Remote Computer Science Certificate is a credential earned by completing a computer science program online, rather than in a traditional classroom setting. These certificates are offered by universities and educational platforms and cover topics such as programming, algorithms, data structures, and more. They are designed for individuals who want to gain foundational or specialized knowledge in computer science, often to boost their careers or transition into tech roles. Remote certificates offer flexibility, allowing learners to study from anywhere and often at their own pace.

What are the key skills and qualifications needed to thrive as a remote computer science instructor, and why are they important?

To thrive as a Remote Computer Science Instructor, you need a solid background in computer science fundamentals, programming languages, and a relevant degree or certifications. Familiarity with online teaching platforms, coding environments, and learning management systems (LMS) is essential. Strong communication, adaptability, and the ability to motivate and engage remote learners are key soft skills. These competencies enable effective knowledge transfer, student engagement, and successful outcomes in an online educational environment.

What are the main challenges of completing a remote computer science certificate program while working full-time?

Balancing work responsibilities with coursework is a common challenge for those pursuing a remote Computer Science certificate while employed full-time. Time management and self-discipline are essential, as you’ll need to set aside regular study hours and meet assignment deadlines independently. Additionally, limited face-to-face interaction with instructors and classmates means you’ll need to proactively seek support and participate in virtual discussions. However, many programs offer flexible schedules, recorded lectures, and online forums to help you stay connected and on track.
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What cities are hiring for Remote Computer Science Certificate jobs?

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What are the most commonly searched types of Computer Science Certificate jobs?

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What states have the most Remote Computer Science Certificate jobs?

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Remote Computer Science Certificate jobs near you
Infographic showing various Remote Computer Science Certificate job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

Applied Computer Science Benchmark Specialist

Remote

Weekday AI
See more jobs at Weekday AIexternal

$66 - $84/hr

Contractor

Posted 24 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.

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