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Remote Computer Science Music Jobs in Springfield, OH

Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ... This compensation range is specific to a Remote role and takes into account the wide range of ...

Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ... This compensation range is specific to a Remote role and takes into account the wide range of ...

SierTeK Ltd. is seeking a Backend Tester to support a remote opportunity (with preference for ... Bachelor's degree in IT, Computer Science, or a related field * Minimum 4 years of directly ...

SierTeK Ltd. is seeking a Backend Tester to support a remote opportunity (with preference for ... Bachelor's degree in IT, Computer Science, or a related field * Minimum 4 years of directly ...

SierTeK Ltd. is seeking a Backend Tester to support a remote opportunity (with preference for ... Bachelor's degree in IT, Computer Science, or a related field * Minimum 4 years of directly ...

SierTeK Ltd. is seeking a Backend Tester to support a remote opportunity (with preference for ... Bachelor's degree in IT, Computer Science, or a related field * Minimum 4 years of directly ...

SierTeK Ltd. is seeking a Backend Tester to support a remote opportunity (with preference for ... Bachelor's degree in IT, Computer Science, or a related field * Minimum 4 years of directly ...

Principal Scientist FLSA Status: Part-Time (Non-Exempt) Department: Technical Deliverables Position ... This position requires you to be in our corporate office, we do not offer remote work. About Us:

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Remote Computer Science Music information

See Springfield, OH salary details

$45.5K

$100.3K

$123.9K

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

As of Jun 21, 2026, the average yearly pay for remote computer science music in Springfield, OH is $100,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $123,400.00 per year, depending on experience, location, and employer.

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 profession makes $400,000 a year?

In the field of computer science, roles such as senior software engineers, machine learning engineers, and technical architects can earn $400,000 or more annually, especially with experience, advanced skills, and working in high-paying industries or companies. These positions often require strong programming skills, expertise in cloud computing, and sometimes leadership or specialized certifications.

How can I make 2000 a week working from home?

Remote computer science music roles, such as software developers or digital content creators, can generate $2000 or more weekly through freelance projects, online teaching, or content monetization. Success depends on skills, experience, and building a strong online presence, often requiring proficiency with relevant tools and consistent effort.

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.

Is computer science good for music?

Computer science skills are valuable in music-related jobs such as audio programming, digital instrument development, and music software engineering. Knowledge of programming languages, digital signal processing, and music technology tools can enhance creativity and technical capabilities in the field.

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 jobs make 10,000 a month without a degree?

In the field of remote computer science and music, high-paying roles such as freelance software developers, digital content creators, and online music instructors can earn $10,000 or more monthly without formal degrees. Success in these roles typically depends on skills, portfolio, and reputation, with many professionals leveraging platforms like Upwork, Fiverr, or personal websites to find clients and build income.

What is a Remote Computer Science Music job?

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.
What job categories do people searching Remote Computer Science Music jobs in Springfield, OH look for? The top searched job categories for Remote Computer Science Music jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Remote Computer Science Music jobs? Cities near Springfield, OH with the most Remote Computer Science Music job openings:
Distinguished AI/ML Engineering Lead

Distinguished AI/ML Engineering Lead

Frontier Technology Inc.

Dayton, OH โ€ข On-site, Remote

$99K - $131K/yr

Full-time

Posted 24 days ago


Job description

Overview
FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
FTI Defense is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator - designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights.
This is a hands-on builder role, not an analytics management position. The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments. The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities.
Responsibilities
  • Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines.
  • Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems.
  • Lead the full AI/ML lifecycle - from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud).
  • Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs.
  • Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems.
  • Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection.
  • Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations.
  • Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs.
  • Collaborate across engineering, data, and modeling teams to unify FTI's AI portfolio, ensuring interoperability and reuse across mission systems.
  • Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks.

Education/Qualifications
  • Active Secret clearance required; TS/SCI strongly preferred.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's or Ph.D. preferred).
  • 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system).
  • Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks.
  • Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka.
  • Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments.
  • Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention.
  • Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.
  • Experience transitioning R&D systems into accredited production environments.
  • Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on.

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