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Remote Computer Science Music Jobs (NOW HIRING)

Spotify

Data Scientist - Music Promotion

New York, NY · Remote

The Music Mission enables Music creators to grow, engage & monetize their fan bases on Spotify ... Degree in data science, computer science, statistics, economics, mathematics, or a similar ...

Posted today

Booz Allen Hamilton, Inc.

Computer Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247095 Location: Aurora,CO,US Share job via: Share Computer Scientist, Mid The Opportunity: As an analytic professional with computer science background, you're excited ...

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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All JobsComputer Science JobsMusic JobsRemote JobsRemote Computer Science Music Jobs

Remote Computer Science Music information

See salary details

$50.5K

$111.3K

$137.5K

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

As of Sep 11, 2026, the average yearly pay for remote computer science music in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a remote computer science music?

A Remote Computer Science Music job involves working at the intersection of music and computer science, typically from a location outside a traditional office. Professionals in this field might develop music software, create algorithms for music composition, analyze audio data, or build music recommendation systems. These jobs leverage programming, sound engineering, and machine learning skills to solve problems or create new experiences in the music industry. Working remotely allows individuals to collaborate with teams and clients from anywhere, using digital tools and platforms. This role is ideal for those passionate about both technology and music.

How do remote computer science professionals in music typically collaborate with composers, producers, and other team members?

Remote computer science professionals working in the music industry often rely on digital collaboration tools such as version control systems, cloud-based DAWs, and project management platforms to communicate and coordinate with composers, producers, and sound engineers. Regular virtual meetings and shared workspaces help ensure alignment on project goals, technical requirements, and creative direction. While asynchronous communication is common, establishing clear documentation and feedback channels is key to maintaining workflow efficiency and fostering a productive team environment.

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

To thrive as a Remote Computer Science Music Specialist, you need a solid background in computer science fundamentals, music theory, and digital audio production, often supported by a relevant degree or portfolio. Familiarity with programming languages (such as Python, C++, or Max/MSP), digital audio workstations (DAWs) like Ableton Live, and music technology tools is typically required. Creativity, strong communication, and the ability to collaborate virtually are standout soft skills for this role. These skills enable the integration of technology and music, fostering innovation and effective remote teamwork in a rapidly evolving field.

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

AspectRemote Computer Science MusicRemote Software Developer
Required CredentialsBachelor's in Computer Science or Music, coding certifications, music production skillsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentHome office, music studios, online collaboration platformsHome office, tech companies, online coding environments
Employer & Industry UsageMusic tech companies, educational platforms, multimedia firmsTech firms, startups, software development agencies
Common Search & Comparison IntentUnderstanding roles combining music and computer scienceComparing software development roles with similar skills

Remote Computer Science Music combines expertise in computer science with music production or technology, often in creative or multimedia industries. Remote Software Developer focuses solely on coding and software creation across various industries. While both roles require programming skills, Remote Computer Science Music emphasizes a blend of technical and artistic skills, whereas Remote Software Developer centers on software development tasks.

Can I work remotely with a computer science music degree?

Remote work opportunities for those with a computer science music degree are available in fields such as software development, digital audio workstations, and multimedia programming. Skills in programming languages, audio software, and remote collaboration tools are often required to succeed in remote roles in this area.

How is remote computer science used in music?

Remote computer science professionals in music develop software for digital audio workstations, music production, and sound analysis. They often work with programming languages like Python or C++ and utilize tools such as MIDI interfaces and audio processing libraries to create or improve music technology applications.
More about Remote Computer Science Music jobs

What cities are hiring for Remote Computer Science Music jobs?

Cities with the most Remote Computer Science Music job openings:

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

The most popular types of Computer Science Music jobs are:

What states have the most Remote Computer Science Music jobs?

States with the most job openings for Remote Computer Science Music jobs include:

What job categories do people searching Remote Computer Science Music jobs look for?

The top searched job categories for Remote Computer Science Music jobs are:

Remote Computer Science Music jobs near you
Infographic showing various Remote Computer Science Music job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 53% Full Time, 31% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Applied Computer Science Benchmark Specialist

Remote

Weekday AI
See more jobs at Weekday AIexternal

$66 - $84/hr

Contractor

Posted 25 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.

Apply