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Accessibility Engineer Remote Jobs in Springfield, OH

... and accessibility standards. Essential Job Functions Application Development * Design, develop ... Perform database maintenance and development through secure remote access (VPN) and on-site support ...

The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ... A one-time allowance for fully remote and hybrid employees to support an at-home or on-the-road ...

Accessibility Engineer Remote information

See Springfield, OH salary details

$21.6K

$97.2K

$154.9K

How much do accessibility engineer remote jobs pay per year?

As of Aug 24, 2026, the average yearly pay for accessibility engineer remote in Springfield, OH is $97,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $120,200.00 per year, depending on experience, location, and employer.

What is an accessibility engineer?

Accessibility Engineers are professionals who ensure that websites, applications, and digital products are usable by people with disabilities. They design, test, and implement solutions that comply with accessibility standards such as the Web Content Accessibility Guidelines (WCAG) and legal requirements like the Americans with Disabilities Act (ADA). Working remotely, they collaborate with designers, developers, and project managers to identify barriers and recommend improvements. Their goal is to create inclusive digital experiences for all users.

What are the key skills and qualifications needed to thrive as an accessibility engineer remote?

To thrive as an Accessibility Engineer (Remote), you need expertise in web accessibility standards (such as WCAG), front-end development skills (HTML, CSS, JavaScript), and familiarity with assistive technologies, often supported by a related degree or certifications like IAAP CPACC. Proficiency with accessibility testing tools (like Axe, WAVE, or JAWS), code repositories, and issue tracking systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with distributed teams and advocating for accessible solutions. These skills are crucial for ensuring digital products are usable by everyone, meeting legal requirements, and promoting inclusivity.

What are some common challenges faced by accessibility engineers working remotely, and how can they be addressed?

Accessibility Engineers working remotely often face challenges such as ensuring effective communication with cross-functional teams and maintaining up-to-date knowledge of accessibility standards. Collaborating virtually may require proactive outreach to designers, developers, and QA teams to review and remediate accessibility issues. Utilizing collaborative tools, scheduling regular check-ins, and participating in online accessibility communities can help overcome these challenges and ensure that products meet accessibility requirements.

What is the difference between Accessibility Engineer Remote vs Accessibility Specialist?

AspectAccessibility Engineer RemoteAccessibility Specialist
CredentialsCertifications like IAAP CP, W3C WCAG knowledge, technical skillsSimilar certifications, focus on accessibility standards and testing
Work EnvironmentRemote, collaborative with developers and designersRemote or on-site, often in testing or compliance roles
Industry UsageTech companies, web development, software firmsEducation, government, healthcare, and tech sectors
Search & Comparison IntentUnderstanding technical roles and remote work optionsFocus on accessibility compliance and testing

Accessibility Engineer Remote and Accessibility Specialist roles share similar credentials and often work in remote environments within tech and compliance sectors. While the Accessibility Engineer focuses on technical development and implementation, the Accessibility Specialist emphasizes testing and ensuring accessibility standards are met. Both roles are vital for creating inclusive digital experiences, with overlapping skills but different primary responsibilities.

How much do accessibility engineers make?

Accessibility engineers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in assistive technologies or compliance standards like WCAG may command higher salaries. Remote positions often offer competitive pay aligned with industry standards.

What are the most accessible remote jobs?

Accessible remote jobs for roles like Accessibility Engineer often include positions in software development, quality assurance, and user experience design that focus on digital accessibility. These jobs typically require skills in assistive technologies, accessibility standards such as WCAG, and remote collaboration tools, making them suitable for individuals seeking flexible, inclusive work environments.

What job categories do people searching Accessibility Engineer Remote jobs in Springfield, OH look for?

The top searched job categories for Accessibility Engineer Remote jobs in Springfield, OH are:

Infographic showing various Accessibility Engineer Remote job openings in Springfield, OH as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $97,241 per year, or $46.8 per hour.

Machine Learning Engineer

Etegent Technologies, LTD

Beavercreek, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago


Job description

Description

About the Company:


Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities. 


Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun. 


The Position:


Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities.


We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns. We wrap these algorithms in accessible, scalable software to be deployed on customer systems, often requiring containerized software and custom user interfaces for visualization. 


This position is based in Beavercreek, OH with the expectation of being in Etegent's office or at a customer facility 5 days a week.  


The Candidate:


More so than seeking a candidate with specific training and experience, Etegent is seeking a candidate with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. Etegent needs an MLE who is flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand. 


Job Responsibilities:

  • Effectively communicate status updates, and other important information, with the team and group leader.
  • Execute research-and-development tasks in close collaboration with the team and group leader according to a set project schedule.
  • Gives effective feedback to others; contributes to the writing of project updates and final reports. 
  • Understand, design, and implement algorithms for signature exploitation. This includes traditional feature extraction and state-of-the-art deep learning approaches.
  • Implement efficient signal/image processing techniques including radar signal processing, electro-optical and infrared image processing.
  • Develop and deploy data science tools for ingestion, visualization, and analysis of large, diverse data sources.
  • Implement machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
  • Provide expertise in data analytics and algorithm development for diverse data sources and applications. 
  • Apply statistical techniques to evaluate algorithm performance.
  • Coordinate with teammates and users to instantiate research concepts in efficient, modular, and well-documented software.


Requirements

Required Qualifications:

  • Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
  • Previous experience signal processing, computer vision, or machine learning experience.
  • Experience developing ML models using standard ML frameworks (PyTorch, TensorFlow, or similar).
  • Background in data science, statistics, and/or computer vision.
  • Experience with Python, Git, and Linux.
  • Ability to acquire and maintain up to a TS security clearance.

Additional Qualifications for Senior-Level Candidates:

Senior-level candidates should also demonstrate:

  • Experience building and maintaining successful relationships with R&D customers while supporting business growth and development efforts. 
  • Previous experience leading cross-functional project teams and driving projects to successful completion.

Preferred Qualifications:

  • Active TS security clearance.
  • Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR. 
  • Experience creating python-based user interfaces for data visualization.
  • Experience developing scalable, modular software tools.
  • Familiarity with DoD/IC customers.
  • Experience maintaining successful relationships and developing business with R&D customers.
  • History of technical presentations and publications in relevant fields.

Attributes:

  • Independent and innovative thinker with an ability to work in an autonomous environment.
  • Demonstrates curiosity with a focus on innovating solutions for tasks. 
  • Effective communicator who can collaborate with teammates and customers to solve problems.  
  • Able to take personal ownership and responsibility over their work. 

Working at Etegent:


At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:

  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work! 

Competitive compensation based on qualifications and experience of candidate.

Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.