ZipRecruiter

Log In

1

Ai Tester Jobs (NOW HIRING)

Saransh Inc

Scrum Tester with Agent AI

Hartford, CT · On-site

Scrum Tester with Agent AI Location: Hartford, CT (Onsite from Day 1) Job Type: Contract Skill Metrics: AI Testing Jira Java Selenium Top skills required for this role: 1. Agent AI - Prompt ...

Apply Early

Apex Informatics

QA Automation Tester

Chicago, IL · On-site

San Francisco, CA/ Chicago, IL • 60% is Device Testing and 40% is LLM / GenAI Validation (AI Testing) • Test automation experience is non-negotiable - manual-only profiles will not be considered ...

Select Minds LLC

AI Testing Architect

Dallas, TX · On-site

$120K - $135K/yr

AI Testing Architect (GenAI / QA Automation) Work Type: Full-Time/Contract Location: Dallas, Texas Onsite Interview Mode: Virtual + In-Person (depends) Work Auth : Must be authorized to work in the U.

Apply Early

Select Minds LLC

AI Testing Architect

Dallas, TX · On-site

$120K - $135K/yr

AI Testing Architect (GenAI / QA Automation) Work Type: Full-Time/Contract Location: Dallas, Texas Onsite Interview Mode: Virtual + In-Person (depends) Work Auth : Must be authorized to work in the U.

ManTech

AI Assurance Engineer

Washington, DC · Remote

$141K - $236K/yr

Support AI testing, evaluation, verification, and validation (TEVV) activities for operational AI systems. Design and conduct adversarial testing, bias analysis, and prompt injection testing. Utilize ...

ManTech International

AI Assurance Engineer

Washington, DC · On-site

$141K - $236K/yr

Responsibilities include but are not limited to: • Support AI testing, evaluation, verification, and validation (TEVV) activities for operational AI systems. • Design and conduct adversarial ...

PLANIT Group

Automation Tester

$47 - $62.25/hr

Understanding of AI testing frameworks and tools for testing machine learning models and AI-driven applications. 6. Analytical Thinking: Strong analytical skills for test case design and result ...

VTG

AI Architect

Chantilly, VA · On-site

AI testing and evaluation * Model deployment and monitoring * Operational sustainment and optimization Develop and mature AI evaluation and testing methodologies, including: * Traditional ML ...

next page

Showing results 1-20

All JobsAi Tester Jobs

Ai Tester information

See salary details

$10

$38

$62

How much do ai tester jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for ai tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

Is AI testing a good career?

AI testing is a growing field within software quality assurance that involves evaluating artificial intelligence systems for accuracy, reliability, and performance. It requires skills in programming, understanding AI algorithms, and familiarity with testing tools. The demand for AI testers is increasing as AI applications expand across industries, making it a promising career option for those interested in technology and quality assurance.

What are the key skills and qualifications needed to thrive in the Ai Tester position, and why are they important?

To thrive as an AI Tester, you need a background in computer science, experience with software testing methodologies, and a solid understanding of artificial intelligence technologies. Familiarity with testing tools (such as Selenium, Jupyter notebooks, or TensorFlow testing frameworks), programming languages like Python, and relevant certifications (e.g., ISTQB) are highly advantageous. Attention to detail, problem-solving abilities, and strong communication skills help AI Testers identify and articulate issues effectively. These skills ensure AI systems are reliable, accurate, and deliver expected outcomes in real-world applications.

What is an AI Tester job?

An AI Tester is responsible for evaluating artificial intelligence systems to ensure they function correctly, efficiently, and ethically. They design and execute test cases, identify flaws or biases, and verify that AI models meet performance standards. AI Testers work with developers and data scientists to improve AI reliability and user experience. Their role is crucial in preventing errors, reducing risks, and ensuring AI models make accurate and fair decisions.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and testing AI models. Familiarity with testing tools, data management, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can improve job prospects.

How much do AI testers make?

AI testers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of the projects. Entry-level positions may start lower, while experienced testers with specialized skills can earn higher salaries, especially in tech hubs or with certifications in testing tools.

What are some typical challenges faced by AI Testers in their daily work?

AI Testers often encounter challenges such as managing and testing large, complex datasets, handling rapidly evolving algorithms, and ensuring consistent test coverage across various real-world scenarios. They must also validate that AI models are free from bias and produce accurate, reproducible results under different conditions. Overcoming these challenges requires both technical proficiency and adaptability. Collaboration with data scientists, developers, and product managers is common, and testers frequently update their testing approaches to keep pace with the fast changes in AI technology.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and sometimes ownership of projects or teams. These roles usually involve leadership, strategic planning, and expertise in AI tools, programming, and data analysis, with compensation reflecting the seniority and impact of the position.
More about Ai Tester jobs
What cities are hiring for Ai Tester jobs? Cities with the most Ai Tester job openings:
What are the most commonly searched types of Ai Tester jobs? The most popular types of Ai Tester jobs are:
What states have the most Ai Tester jobs? States with the most job openings for Ai Tester jobs include:
What job categories do people searching Ai Tester jobs look for? The top searched job categories for Ai Tester jobs are:
Ai Tester jobs near you
Snowflake Cortex AI Tester

Snowflake Cortex AI Tester

Cognizant Technology Solutions

Boston, MA • On-site

$124K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

40th of 58 rated business consultants

Job description

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }
a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }
Senior Data Testing Engineer - Snowflake & AI Testing
About Cognizant
Cognizant (NASDAQ: CTSH) is one of the world's leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in a rapidly changing world. Our associates work with some of the world's most recognized organizations to deliver innovative solutions across digital engineering, cloud, data, AI, and business transformation.
At Cognizant, we foster an inclusive, collaborative, and high-performing culture where diverse perspectives drive innovation and create meaningful impact for our clients.
Senior Data Testing Engineer - Snowflake & AI Testing
Job Summary
Cognizant is seeking an experienced Senior Data Testing Engineer to join our Data Engineering and Quality Assurance team. In this role, you will be responsible for ensuring the quality, integrity, reliability, and performance of enterprise data platforms, data pipelines, and AI-powered solutions.
The ideal candidate will possess deep expertise in Snowflake, advanced SQL, and automated data testing methodologies, along with experience validating complex ETL/ELT pipelines. This role requires a strong quality mindset, excellent analytical skills, and the ability to collaborate with cross-functional teams to deliver high-quality data products. Experience or familiarity with Snowflake Cortex AI and AI testing practices is highly desirable.
Key Responsibilities
  • Design, develop, and maintain scalable automated testing frameworks for data platforms, data warehouses, data lakes, and ETL/ELT processes.
  • Validate data transformations and business rules to ensure accuracy, completeness, consistency, and integrity across systems.
  • Perform source-to-target data validation, reconciliation, and end-to-end data quality testing.
  • Develop and execute complex SQL queries to validate data models, transformations, and reporting outputs.
  • Conduct performance validation and testing to ensure efficient utilization of Snowflake resources and optimal platform performance.
  • Collaborate with Data Engineering, Analytics, Product, and Business teams to define testing strategies and quality standards.
  • Integrate automated testing solutions into CI/CD pipelines to support continuous testing and rapid deployment of data assets.
  • Identify, document, prioritize, and track defects through resolution while driving root-cause analysis and process improvements.
  • Support testing and validation of AI-driven data solutions, including applications leveraging Snowflake Cortex AI capabilities.
  • Create and maintain test plans, test cases, automation assets, and quality metrics documentation.
  • Mentor and guide junior QA and Data Testing Engineers on testing best practices, automation techniques, and Snowflake technologies.
  • Contribute to continuous improvement initiatives focused on data quality, testing efficiency, and engineering excellence.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field, or equivalent work experience.
  • 7+ years of experience in Data Quality Assurance, Data Testing, or Data Engineering with a significant focus on testing and validation.
  • Deep hands-on experience with Snowflake, including architecture, data structures, performance optimization, and best practices.
  • Advanced proficiency in SQL and experience developing complex queries for data validation and analysis.
  • Strong experience testing complex ETL/ELT pipelines and modern data integration solutions.
  • Experience working with tools and frameworks such as dbt, Fivetran, or similar data engineering technologies.
  • Experience designing and implementing automated data testing frameworks.
  • Strong understanding of data warehousing concepts, dimensional modeling, and data quality principles.
  • Experience integrating automated testing into CI/CD environments.
  • Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail.
  • Strong communication and stakeholder management skills with experience working in Agile delivery teams.
Preferred Qualifications
  • Hands-on experience or strong familiarity with Snowflake Cortex AI.
  • Experience testing AI, machine learning, or generative AI-enabled applications.
  • Knowledge of cloud-based data architectures and modern data platforms.
  • Experience with data observability, monitoring, and quality management tools.
  • Relevant Snowflake, cloud, or data engineering certifications.
Why Cognizant
  • Work with industry-leading cloud, data, and AI technologies.
  • Collaborate with highly skilled global teams on innovative transformation programs.
  • Access continuous learning, certification, and career growth opportunities.
  • Be part of an inclusive culture that values diversity, innovation, and professional development.
Equal Opportunity Employer Statement
Cognizant is an equal opportunity employer. We are committed to fostering a workplace where all employees are valued, respected, and empowered to succeed. Employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, veteran status, or any other protected characteristic under applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities during the application and employment process. Please contact us if you require accommodation or assistance.
Compensation
  • Base Salary Range: $100,000 - $115,000 per year
  • Final compensation is based on experience, skills, and location
  • Eligible for performance-based bonuses and incentive compensation
Benefits
Cognizant offers a comprehensive benefits package designed to support your overall well-being and career growth:
  • Health & Wellness: Medical, dental, and vision insurance
  • Financial Security: 401(k) with company match, life insurance, disability coverage
  • Time Off: Generous PTO, paid holidays, and parental leave
  • Learning & Development: Training programs, certifications, and career advancement opportunities
  • Flexible Work Model: Hybrid work environment supporting work-life balance
  • Employee Programs: Wellness initiatives, employee resource groups, and recognition programs
Why Join Cognizant?
  • Work on enterprise-scale data and analytics platforms
  • Collaborate with global teams and industry-leading clients
  • Grow your career in a high-impact, data-driven environment
  • Be part of a culture focused on innovation, inclusion, and excellence

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply