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Accessibility Testing Internship Jobs (NOW HIRING)

In this Internship, you will get the opportunity to work with a team of seasoned GIS and Project ... We serve as a trusted adviser to the communities we serve, making them safer, more accessible, more ...

Champion user-friendly and accessible design practices, ensuring deliverables meet established ... Participate in design reviews and iterative testing cycles, using input from users and stakeholders ...

Champion user-friendly and accessible design practices, ensuring deliverables meet established ... Participate in design reviews and iterative testing cycles, using input from users and stakeholders ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

... and accessibility. Level Infinite also provides a wide range of services and resources to our ... Modeling and developing scalable, efficient, automated data analysis, AB testing, machine learning ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

... and accessibility. Level Infinite also provides a wide range of services and resources to our ... Modeling and developing scalable, efficient, automated data analysis, AB testing, machine learning ...

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Accessibility Testing Internship information

See salary details

$2.4K

$5.3K

$7.7K

How much do accessibility testing internship jobs pay per month?

As of Jun 25, 2026, the average monthly pay for accessibility testing internship in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

What is the difference between Accessibility Testing Internship vs Accessibility Tester?

AspectAccessibility Testing InternshipAccessibility Tester
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience in accessibility testing
Work EnvironmentInternship setting, learning-focusedProfessional environment, project-based
Industry UsageEntry-level role for trainingFull-time or contract role for ongoing testing
Search IntentLearning about entry-level accessibility rolesSeeking experienced accessibility testing professionals

In summary, an Accessibility Testing Internship is an entry-level, learning-focused position for those starting in accessibility testing, often held by students or recent graduates. An Accessibility Tester is a more experienced professional responsible for conducting accessibility evaluations in a work setting. Both roles are essential in the industry but differ mainly in experience level and responsibilities.

What are the key skills and qualifications needed to thrive as an Accessibility Testing Intern, and why are they important?

To thrive as an Accessibility Testing Intern, you need a foundational understanding of web accessibility standards (such as WCAG), basic knowledge of HTML/CSS, and a keen attention to detail, often supported by coursework or relevant certifications. Familiarity with tools like screen readers (e.g., JAWS, NVDA), browser accessibility extensions, and automated testing platforms is typically required. Strong communication, analytical thinking, and a genuine interest in inclusive design make candidates stand out in this role. These skills are crucial for identifying accessibility barriers, effectively communicating issues, and ensuring digital products are usable by people of all abilities.

What are some typical projects or tasks an Accessibility Testing Intern might work on during their internship?

As an Accessibility Testing Intern, you will typically assist in evaluating websites, applications, or digital content for compliance with accessibility standards such as WCAG and Section 508. Your tasks may include running automated accessibility tests, performing manual checks with assistive technologies (like screen readers), and documenting findings for the development team. You may also participate in team meetings to learn about remediation strategies and collaborate closely with developers and designers to suggest improvements. These experiences are valuable in building a practical understanding of accessibility challenges and solutions in digital environments.

What is an Accessibility Testing Internship?

An Accessibility Testing Internship is a temporary position, typically for students or recent graduates, that focuses on evaluating digital products—such as websites and mobile apps—for accessibility. The goal is to ensure these products are usable by people with disabilities, following standards like the Web Content Accessibility Guidelines (WCAG). Interns learn how to use assistive technologies, identify accessibility barriers, and recommend improvements. This role helps organizations create more inclusive digital experiences and gives interns valuable skills in web development and usability testing.
What cities are hiring for Accessibility Testing Internship jobs? Cities with the most Accessibility Testing Internship job openings:
What are the most commonly searched types of Accessibility Testing jobs? The most popular types of Accessibility Testing jobs are:
What states have the most Accessibility Testing Internship jobs? States with the most job openings for Accessibility Testing Internship jobs include:
Infographic showing various Accessibility Testing Internship job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.

Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)

Unity South APAC (SEA, ANZ, IND Subcont.)

Bellevue, WA • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
Unity is the world’s leading game engine, powering play for more than 3 billion consumers each month. The company is seeking a Machine Learning Engineer to design and evaluate next-generation ranking and recommendation models, incorporating advanced machine learning techniques to improve ad relevance and user experience.
Responsibilities:
• Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience.
• Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions.
• Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery.
• Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality.
• Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model.
• Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams.
Qualifications:
Required:
• PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate).
• Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization.
• Experience working with large-scale data and ML systems, whether through research or industry internships.
• Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
• A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal.
• Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences.
Preferred:
• Industry experience in ads, recommendation, or user understanding systems (internship experience counts).
• Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure.
• Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems.
• Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks.
• Exposure to causal inference, uplift modeling, or A/B testing at scale.
• Genuine curiosity about applied research and the drive to see ideas through to impact.
Company:
Unity (NYSE: U) is the world’s leading platform for creating and operating real-time 3D (RT3D) content. Founded in , the company is headquartered in Singapore, SG, , with a team of 5001-10000 employees. The company is currently Late Stage.