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Remote Computer Science Jobs in Springfield, OH (NOW HIRING)

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 · 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 · 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 · 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 · 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 · 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 information

What Are Remote Computer Science Jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

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

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

Can I work remotely with a computer science degree?

Yes, many computer science roles can be performed remotely, especially in software development, programming, and IT support. Remote work often requires strong communication skills, proficiency with collaboration tools, and sometimes specific certifications or experience with remote work environments.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.

What jobs pay $10,000 a month without a degree?

Remote computer science roles such as software developers, web developers, and cybersecurity specialists can earn $10,000 or more per month without a formal degree, often relying on strong coding skills, certifications, and experience. Freelance work, consulting, and project-based contracts in tech fields also offer high earning potential without traditional degrees.

How can I make $100,000 a year working from home?

Remote computer science professionals can reach a $100,000 annual income by gaining specialized skills in areas like software development, data science, or cybersecurity, and obtaining relevant certifications. Building a strong portfolio, gaining experience, and working for high-paying companies or freelancing can also increase earning potential while working remotely.

How to make $1000 a week remote?

Remote computer science professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building in-demand skills such as programming, software development, or data analysis, and using platforms like Upwork or Freelancer, can help achieve this income level. Consistent work, strong skills, and a reliable client base are key factors.
What are the most commonly searched types of Computer Science jobs in Springfield, OH? The most popular types of Computer Science jobs in Springfield, OH are:
What job categories do people searching Remote Computer Science jobs in Springfield, OH look for? The top searched job categories for Remote Computer Science jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Remote Computer Science jobs? Cities near Springfield, OH with the most Remote Computer Science job openings:
Infographic showing various Remote Computer Science job openings in Springfield, OH as of June 2026, with employment types broken down into 2% Internship, 72% Full Time, 12% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.
AI/ML Engineer

Full-time

Posted 10 days ago


Job description

Overview

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.

Responsibilities
  • 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.
Education/Qualifications

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.

 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.
  • 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

Employment Type: FULL_TIME