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Remote Computer Science Teaching Jobs in Dayton, OH

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Remote Computer Science Teaching information

See Dayton, OH salary details

$35.5K

$63.6K

$118.1K

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

As of Sep 12, 2026, the average yearly pay for remote computer science teaching in Dayton, OH is $63,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $67,600.00 per year, depending on experience, location, and employer.

What is remote computer science teaching?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are the key skills and qualifications needed for remote computer science teaching?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.

What are popular job titles related to Remote Computer Science Teaching jobs in Dayton, OH?

For Remote Computer Science Teaching jobs in Dayton, OH, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Teaching jobs in Dayton, OH look for?

The top searched job categories for Remote Computer Science Teaching jobs in Dayton, OH are:

What cities near Dayton, OH are hiring for Remote Computer Science Teaching jobs?

Cities near Dayton, OH with the most Remote Computer Science Teaching job openings:

Infographic showing various Remote Computer Science Teaching job openings in Dayton, OH as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $63,635 per year, or $30.6 per hour.

Remote Sensing OPIR Engineer - #898

Dayton, OH โ€ข On-site, Remote

Allen Integrated Solutions
Guided Missile and Space Vehicle Manufacturingย โ€ขย 11 - 50 employees

Full-time

Posted 17 days ago


Job description

Remote Sensing OPIR Engineer - #898
Clearance Required: TS/SCI
Minimum Years' Experience: 5 years of experience in EO/IR algorithm development
Dayton, Ohio - 100% onsite
Overall Assignment Description:
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Allen Integrated Solutions is seeking a highly skilled Remote Sensing OPIR Engineer to support the National Geospatial-Intelligence Agency (NGA) in infrared sensing, space-based missile warning systems, data exploitation, and algorithm development. The ideal candidate will possess a strong technical background in electro-optical/infrared (EO/IR) systems, infrared phenomenology, Overhead Persistent Infrared (OPIR) data analysis, and remote-sensing software development.
This role requires demonstrated experience working with complex sensor systems, developing and testing advanced analytical capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.
Responsibilities
  • Prototype and develop advanced OPIR data-processing algorithms and support their transition into operational environments.
  • Evaluate and troubleshoot data-processing pipelines, identify anomalies, and coordinate remediation strategies.
  • Support the development of white papers, technical documentation, and technology-transition plans.
  • Collaborate with research organizations, Department of Defense stakeholders, Intelligence Community organizations, and external agencies.
Required Qualifications
  • Active TS/SCI clearance.
  • Bachelor's degree in computer engineering, physics, computer science, or a related technical field.
  • At least five years of experience in EO/IR algorithm development.
  • Advanced understanding of EO/IR signal processing, artificial intelligence and machine learning applications, and target-system phenomenology.
  • Detailed experience with OPIR data formats and processing pipelines.
  • Advanced Python development skills.
  • Strong analytical and problem-solving skills, including the ability to diagnose sensor-performance issues, data anomalies, and software problems.
Desired Qualifications
  • Direct experience performing OPIR analysis.
  • Master's degree in computer engineering, physics, computer science, or a related technical field.
  • Experience collaborating with NGA, NASIC, or other Intelligence Community organizations.