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Internship Accessibility Analyst Jobs in Silver Spring, MD

Analyze data and compile findings into accessible formats for internal and external audiences ... This is a part-time internship position with flexibility to accommodate student schedules. The ...

Analyze data and compile findings into accessible formats for internal and external audiences ... This is a part-time internship position with flexibility to accommodate student schedules. The ...

With a strong focus on strategy, we offer development opportunities, accessible senior leadership ... They will have 0-2 years of prior relevant internship or project-based work experience in strategy ...

Our work leverages primary research, data analysis, and knowledge/learnings from previous ... With a strong focus on strategy, we offer development opportunities, accessible senior leadership ...

Showing results 41-60

Internship Accessibility Analyst information

What types of projects might an internship accessibility analyst work on, and how do these contribute to the organization's goals?

As an Internship Accessibility Analyst, you may work on projects such as evaluating digital products for compliance with accessibility standards (like WCAG), assisting in user testing with individuals with disabilities, and drafting reports or recommendations for improving accessibility. These projects are crucial for ensuring that digital content is usable by everyone, which not only meets legal requirements but also expands the organization's reach and inclusivity. You'll often collaborate with designers, developers, and product managers, gaining diverse experience while directly contributing to more accessible digital experiences.

What is the difference between Internship Accessibility Analyst vs Accessibility Analyst?

AspectInternship Accessibility AnalystAccessibility Analyst
Required CredentialsTypically pursuing or recent graduate, some certifications optionalRelevant certifications (e.g., IAAP certifications), more experience required
Work EnvironmentInternship setting, entry-level tasks, learning-focusedFull-time or part-time professional role, ongoing projects
Employer & Industry UsageInternship programs in tech, government, or non-profitsTech companies, government agencies, accessibility consulting firms
Search & Comparison IntentUnderstanding entry-level roles, career path, or internship opportunitiesSeeking experienced professionals for accessibility projects

The main difference between an Internship Accessibility Analyst and an Accessibility Analyst lies in experience level, responsibilities, and employment status. Internships focus on learning and gaining initial experience, while Accessibility Analysts are full-time professionals with more advanced skills and responsibilities in accessibility projects.

What does an internship accessibility analyst do?

An Internship Accessibility Analyst supports organizations in ensuring their digital products, such as websites and apps, are accessible to people with disabilities. They help conduct accessibility audits, identify areas of improvement, and recommend solutions to meet legal standards like the Americans with Disabilities Act (ADA) and Web Content Accessibility Guidelines (WCAG). Interns may also assist in testing user interfaces, documenting findings, and collaborating with developers and designers to promote inclusive design. This role provides hands-on experience in accessibility best practices and helps build a strong foundation for a career in digital accessibility.

What are the key skills and qualifications needed to thrive as an internship accessibility analyst?

To thrive as an Internship Accessibility Analyst, you should have foundational knowledge of accessibility standards (like WCAG), digital content evaluation, and a relevant educational background or coursework. Familiarity with assistive technologies, accessibility testing tools (such as Axe or WAVE), and basic web development concepts is typically expected. Strong attention to detail, effective communication, and a commitment to inclusivity help you collaborate with teams and advocate for accessible solutions. These skills are crucial for identifying accessibility issues and supporting the creation of digital experiences that are usable by everyone.

Artificial Intelligence/Machine Learning Engineer, Junior

EverWatch

Annapolis Junction, MD • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. The AI/ML Engineer will develop and deploy artificial intelligence and machine learning solutions to enhance operational workflows and support decision-making in secure environments.
Responsibilities:
• Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security.
• As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.
• You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities.
• Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
• You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments.
• Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.
Qualifications:
Required:
• 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
• Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
• Familiarity with standard data science libraries and development tools
• Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
• Ability to collaborate within a team and communicate technical concepts clearly
• TS/SCI clearance with a polygraph
• Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience
Preferred:
• Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
• Experience with version control tools such as Git and collaborative development environments
• Knowledge of deep learning frameworks such as PyTorch or TensorFlow
• Knowledge of large language models (LLMs) and generative AI concepts
• Knowledge of cloud platforms such as AWS, Azure, or GCP
• Knowledge of containerization technologies such as Docker or Kubernetes
• Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
• Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments
Company:
EverWatch focuses on in-house investment management. Founded in 1999, the company is headquartered in West Palm Beach, USA, with a team of 201-500 employees. The company is currently Growth Stage.