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Remote Computer Science Volunteer Jobs in New York

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Allume

Data Scientist

Manhattan, NY · Remote

Remote (US-based preferred) Type: Full-time Lumi is seeking a talented Data Scientist to join our ... Have a Master's or PhD in Computer Science, Statistics, or related field Possess 3+ years of ...

DataAnnotation

Data Science Consultant

Brooklyn, NY · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

Capgemini

Remote Windchill Developer (Junior)

Manhattan, NY · Remote

$46.40K - $111.09K/yr

Ideal candidates will have a Bachelor's degree in Computer Science and foundational Java skills ... This remote position offers a competitive salary range of $46,400 - $111,090 per year, alongside ...

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Remote Computer Science Volunteer information

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

To thrive as a Remote Computer Science Volunteer, you need a solid understanding of programming languages, algorithms, and software development principles, often supported by formal education or relevant coursework. Familiarity with collaboration tools like GitHub, project management platforms, and virtual meeting software is typically required. Strong communication, self-motivation, and teamwork skills help volunteers effectively contribute and coordinate with diverse, remote teams. These skills and qualities are important for delivering impactful technical solutions and maintaining productivity in a virtual environment.

How do Remote Computer Science Volunteers typically collaborate with team members and project stakeholders?

As a Remote Computer Science Volunteer, you’ll often work with a distributed team using online collaboration tools such as Slack, GitHub, and project management platforms like Trello or Asana. Communication is key, as you’ll need to coordinate with fellow volunteers, project managers, and sometimes end users to clarify requirements, share progress, and review code. Regular virtual meetings and asynchronous updates help maintain project momentum. This collaborative environment not only enhances teamwork but also exposes you to a variety of work styles and technical challenges.

What are remote computer science volunteers?

Remote computer science volunteers are individuals who offer their technical skills and knowledge in computer science to assist organizations, nonprofits, or educational programs from a distance, typically via the internet. They may contribute to projects such as coding, software development, website maintenance, technical support, or teaching programming skills. Volunteering remotely allows these individuals to support causes they care about without needing to be physically present, making it accessible for people from different locations. This role often requires strong communication, self-motivation, and a willingness to collaborate online.

What is the difference between Remote Computer Science Volunteer vs Remote Software Developer?

AspectRemote Computer Science VolunteerRemote Software Developer
Required credentialsOften no formal certifications; focus on skills and passionTypically requires a degree or certifications in software development
Work environmentNon-profit projects, open-source, or educational initiativesCommercial or client-based projects, startups, or established companies
Employer and industry usageNon-profit organizations, open-source communities, educational programsTech companies, startups, corporate clients
Common search and comparison intentUnderstanding volunteer opportunities in CSFinding remote software development jobs

Remote Computer Science Volunteers typically work on non-profit or open-source projects without formal certifications, focusing on community impact. In contrast, remote software developers usually work on commercial projects requiring specific technical credentials. Both roles involve remote work but differ in purpose, environment, and employer type.

What are the most commonly searched types of Computer Science Volunteer jobs in New York? The most popular types of Computer Science Volunteer jobs in New York are:
What are popular job titles related to Remote Computer Science Volunteer jobs in New York? For Remote Computer Science Volunteer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Volunteer jobs in New York look for? The top searched job categories for Remote Computer Science Volunteer jobs in New York are:
What cities in New York are hiring for Remote Computer Science Volunteer jobs? Cities in New York with the most Remote Computer Science Volunteer job openings:
Remote Computer Science Volunteer jobs near you

Remote | Advanced CS Question Design & Review Expert -- $50-$95/hour

24-MAG

New York, NY • Remote

$50 - $95/hr

Part-time, Contractor

Posted 2 hours ago

Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in computer science, academic assessment design, technical question authoring, benchmark development, solution verification, and structured CS content review.

This role supports current and upcoming remote consulting opportunities focused on high-quality computer science assessment development, multiple-choice question writing, technical content verification, academic benchmark review, and rigorous solution evaluation. Selected professionals will apply their computer science expertise to author, review, and validate challenging assessment materials across core CS domains.

Key Responsibilities

Professionals in this role may contribute to:

Computer Science Question Authoring

  • Create original, challenging multiple-choice questions across core computer science domains
  • Design questions that test deep conceptual understanding rather than surface-level recall
  • Ensure each question is precise, self-contained, unambiguous, and solvable based on the information provided
  • Develop plausible answer choices that challenge advanced learners and technical reviewers

Solution Development & Difficulty Calibration

  • Write clear, step-by-step reference solutions in structured markdown format
  • Rate question difficulty across levels such as introductory undergraduate, advanced undergraduate, or postgraduate-level expertise
  • Provide academic references from reputable sources such as peer-reviewed publications, university materials, or recognized technical resources
  • Ensure solutions are accurate, concise, logically sound, and aligned with the intended learning objective

Question Verification & Technical Review

  • Review pre-written computer science questions for accuracy, clarity, rigor, completeness, and solvability
  • Flag issues involving ambiguity, missing assumptions, weak distractors, unclear wording, or incorrect answer logic
  • Edit questions where needed and document the rationale for changes
  • Maintain high standards for technical correctness, academic quality, and assessment reliability

Ideal Profile

Strong candidates may have:

  • Advanced expertise in computer science, electrical engineering, machine learning, systems, algorithms, security, software engineering, or related technical fields
  • Strong command of one or more CS areas such as algorithms and data structures, machine learning, AI, systems, networks, theory, computer security, or software engineering
  • Experience authoring, reviewing, teaching, grading, or verifying academic or technical assessment content
  • Ability to express complex technical ideas clearly and concisely in written English
  • Strong attention to detail and ability to identify subtle technical or logical issues
  • Comfort working independently on asynchronous technical review tasks

Educational Background

  • PhD or doctoral candidacy in computer science, electrical engineering, computer engineering, or a closely related field is highly relevant
  • Master's degree may be suitable for candidates with exceptional depth in a specific CS subdomain
  • Equivalent experience in advanced research, technical assessment writing, competitive programming, academic teaching, or high-level industry work may also be valuable

Nice to Have

  • Research publications, academic teaching experience, competitive programming background, or experience at a leading technology company
  • Familiarity with graduate-level CS theory, algorithms, systems design, machine learning, computer security, or software engineering concepts
  • Experience preparing or reviewing exam questions, benchmark tasks, technical rubrics, reference solutions, or academic problem sets
  • Strong comfort with markdown formatting, technical notation, academic references, and structured review workflows
  • Availability for approximately 10+ hours per week depending on project needs

Why This Opportunity

  • Apply advanced computer science expertise to structured remote project work
  • Contribute to high-quality CS benchmark development, question authoring, solution review, and technical assessment evaluation
  • Work on flexible assignments aligned with your academic or technical background
  • Use your technical judgment in a rigorous, detail-oriented review environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time commitment of approximately 10+ hours per week depending on project availability
  • Competitive rates between $50–$95 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.