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Remote Computer Science Music Jobs in Springfield, OH

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

SOFTWARE ENGINEER SR

Dayton, OH ยท On-site +1

$119K - $157K/yr

Louis, MO, or Remote in order of preference. Contingent on contract award. Job Responsibilities ... Bachelor's degree or higher in Computer Science, Computer Engineering, or related field * Strong ...

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

DevOps Engineer III

Beavercreek, OH ยท Remote

$49 - $67/hr

Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness ... TS/SCI Clearance * Bachelor's degree in computer science, Engineering, Finance, Business, or ...

DevOps Engineer III

Beavercreek, OH ยท Remote

$49 - $67/hr

Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness ... TS/SCI Clearance * Bachelor's degree in computer science, Engineering, Finance, Business, or ...

DevOps Engineer IV

Beavercreek, OH ยท Remote

$49 - $67/hr

Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness ... Bachelor's degree in computer science, Engineering, or related Field AND 3+ years leadership ...

DevOps Engineer IV

Beavercreek, OH ยท Remote

$49 - $67/hr

Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness ... Bachelor's degree in computer science, Engineering, or related Field AND 3+ years leadership ...

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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:
AI/ML Engineer

Full-time

Posted 5 days ago


Job description

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) 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.


  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

ย Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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