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Ai Qa Jobs in Delaware (NOW HIRING)

Saransh Inc

QA Automation

Wilmington, DE · On-site

7years to 12 years of experienced and highly skilled QA Automation Tester to join our dynamic team ... Agentic AI experience. (h) Experience in Application Testing - Functional, Smoke ,Sanity ...

DijavAI

AI Audit and Risk Assessment Lead

Dover, DE · On-site

$90 - $170/hr

Evaluate data quality and governance * Document findings and recommendations What We're Looking For * 9+ years in audit, risk management, or quality assurance * Understanding of AI/ML systems

Bloom Energy

Director of Quality

Newark, DE · On-site

From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals ... Ensure Skid line manufacturing has 100% Quality assurance through inspection, testing, and sub ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Collaborate with analysts, QA, and product owners to refine requirements; demo increments and ... Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock. * Hands-on ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Collaborate with analysts, QA, and product owners to refine requirements; demo increments and ... Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock. * Hands-on ...

Bloom Energy

Principal Quality Engineer

Newark, DE · On-site

From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals ... Take responsibility for various quality assurance activities from raw materials to the end customer ...

Qnity

Quality Specialist

Newark, DE · On-site

Experience: 2-5 years in Quality Assurance or Quality Control within a manufacturing environment ... We use Artificial Intelligence (AI) to enhance our recruitment process.

The Chemours Company

Assurance Analyst

Wilmington, DE · On-site

... AI, climate friendly cooling, and high-quality paints and coatings for homes and industrial ... Chemours is seeking an Assurance Analyst to join our Chemours Assurance Services (CAS) Internal ...

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Ai Qa information

What is an AI QA?

AI QA (Artificial Intelligence Quality Assurance) professionals are specialists who test and validate machine learning models, AI systems, and related software to ensure they function correctly, reliably, and ethically. They design test cases, evaluate model accuracy, check for biases, and verify compliance with regulatory standards. AI QA experts work closely with data scientists, developers, and product managers to identify issues and improve system performance throughout the AI development lifecycle.

What are the key skills and qualifications needed to thrive as an AI QA?

To thrive as an AI QA specialist, you need strong analytical skills, knowledge of software testing methodologies, and a solid understanding of AI/ML concepts, typically supported by a degree in computer science or a related field. Familiarity with testing frameworks like Selenium or PyTest, version control systems like Git, and tools such as TensorFlow or PyTorch for model validation is often required. Attention to detail, problem-solving abilities, and effective communication set top performers apart in this role. These skills ensure the reliability, fairness, and safety of AI systems, which is critical for delivering trustworthy and high-quality AI solutions.

How does an AI QA engineer typically collaborate with data scientists and developers during the model development lifecycle?

AI QA engineers work closely with data scientists and developers throughout the AI model development process. They often participate in sprint planning and daily stand-up meetings to align on testing strategies, clarify requirements, and address potential model issues early. Their responsibilities include designing test cases for model accuracy, fairness, and robustness, as well as validating data pipelines and deployment workflows. Effective communication and a proactive approach are essential, as AI QA engineers help ensure the final model meets quality standards and integrates smoothly into production environments.

What is the difference between Ai Qa vs Data Analyst?

AspectAi QaData Analyst
Required CredentialsTypically certifications in AI, QA, or software testingBachelor's degree in data science, statistics, or related fields
Work EnvironmentTech companies, software development teams, AI-focused projectsBusiness, finance, healthcare, and various industries analyzing data
Employer & Industry UsageTech firms, AI startups, software companiesCorporations across multiple sectors, consulting firms
Common Search & Comparison IntentUnderstanding roles in AI quality assuranceAnalyzing data to inform business decisions

Ai Qa specialists focus on testing and ensuring the quality of AI systems, often requiring knowledge of AI tools and testing protocols. Data Analysts interpret data to generate insights, requiring skills in data visualization and statistical analysis. While both roles work with data and technology, Ai Qa emphasizes quality assurance in AI development, whereas Data Analysts focus on data interpretation for decision-making.

How to become an AI QA tester?

To become an AI QA tester, you should have a strong understanding of software testing principles, familiarity with AI and machine learning concepts, and experience with testing tools and scripting languages. Gaining knowledge of AI models, data validation, and quality assurance processes is essential, and certifications in software testing or AI can enhance your qualifications.

What are popular job titles related to Ai Qa jobs in Delaware?

For Ai Qa jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Ai Qa jobs in Delaware look for?

The top searched job categories for Ai Qa jobs in Delaware are:

Ai Qa jobs near you
Infographic showing various Ai Qa job openings in Delaware as of August 2026, with employment types broken down into 47% Full Time, 20% Part Time, and 33% Contract. Highlights an 79% In-person, and 21% Remote job distribution.

QA Automation

Saransh Inc

Wilmington, DE • On-site

Contractor

Re-posted 5 days ago

Job description

7years to 12 years of experienced and highly skilled QA Automation Tester to join our dynamic team. The successful candidate will be responsible for designing, developing, and executing automated test scripts to ensure the quality and functionality of our software products. The candidate will work closely with developers and other stakeholders to understand requirements and create automation solutions that enhance testing efficiency.                

Primary Skills:

(a) Experience with REST ASSURED API

(b) Experience with Java programming

(c) Strong SQL

(d) Proficient in Selenium, JUnit, TestNG, Appium

(e) Experience in GIT, JIRA, SQL, BIT BUCKET, Jules

(f) Excellent communication skills to work with cross-functional teams and convey issues, risks, and testing progress

(g) Experience with API testing and tools like Postman, IntelliJ

(h) Proficient in BDD Cucumber Framework

(i) Conduct regression testing and performance testing to ensure product stability.

(j) Experience with Gen AI and Agentic AI experience.

(h) Experience in Application Testing - Functional, Smoke ,Sanity ,Regression Testing          

Good to Have Skills

(i)Certification in GEN AI

(ii)Excellent problem-solving and analytical skills to quickly identify issues and suggest improvements.

(iii)Experience with Agile/Scrum methodologies is a plus.

(iv) Knowledge of performance testing tools like JMeter or LoadRunner.