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Computer Vision Remote Jobs in Dayton, OH (NOW HIRING)

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Showing results 21-40

Computer Vision Remote information

See Dayton, OH salary details

$12

$20

$30

How much do computer vision remote jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for computer vision remote in Dayton, OH is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.64 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are the most commonly searched types of Computer Vision jobs in Dayton, OH? The most popular types of Computer Vision jobs in Dayton, OH are:
What are popular job titles related to Computer Vision Remote jobs in Dayton, OH? For Computer Vision Remote jobs in Dayton, OH, the most frequently searched job titles are:
What job categories do people searching Computer Vision Remote jobs in Dayton, OH look for? The top searched job categories for Computer Vision Remote jobs in Dayton, OH are:
What cities near Dayton, OH are hiring for Computer Vision Remote jobs? Cities near Dayton, OH with the most Computer Vision Remote job openings:
Infographic showing various Computer Vision Remote job openings in Dayton, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $42,155 per year, or $20.3 per hour.

Remote Sensing Software Engineer

Booz Allen Hamilton

Dayton, OH • On-site, Remote

$69K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Remote Sensing Software Engineer

The Opportunity:

At Booz Allen, you'll join a team using advanced imaging, physics-based modeling, and AI/ML to solve some of the nation's most compelling Space Domain Awareness (SDA) and remote sensing challenges. You'll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user centric tools that accelerate mission outcomes.

What You'll Work On:

  • Develop software tools for radiometric modeling and satellite observation geometry.

  • Implement imaging and signal processing workflows including motion compensation, multi-frame alignment, and super-resolution.

  • Build ML enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets.

  • Design scientific Python pipelines, such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing.

  • Support orbital modeling tasks, such as SGP4, TLE ingestion, or basic pose estimation.

  • Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering.

  • Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.

  • Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities.

Join us. The world can't wait.

You Have:

  • 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation

  • Experience designing, modifying, developing, writing, and implementing software programming applications using agile methods

  • Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray

  • Experience with basic orbital mechanics

  • Experience with ML frameworks such as PyTorch or TensorFlow

  • Experience with large sensor datasets such as HDF5 or cloud object storage

  • Active TS/SCI clearance; willingness to take a polygraphexam

  • Bachelor's degree in a STEM field

Nice If You Have:

  • Experience with administration of continuous integration and continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins

  • Experience with sensor phenomenology, radiometric calibration, or remote sensing interpretation

  • Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction

  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms

  • Experience with AI augmented development workflows or agentic tools

  • Experience with GitLab based CI/CD workflows

  • Master's degree in an engineering field, Physics, Mathematics, Computer Science, or a STEM field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914