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Generative Ai Testing Jobs in Quincy, MA (NOW HIRING)

Citizens

Sr Data Scientist- Generative AI

Westwood, MA · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... testing. * Build scalable AI solutions using modern frameworks and infrastructure including vLLM ...

Waters Corporation

AI Architect

Milford, MA

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Establish engineering standards covering code quality, testing, automation, deployment, and ...

Waters Corporation

AI Architect

Milford, MA · On-site

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Establish engineering standards covering code quality, testing, automation, deployment, and ...

Waters Corporation

AI Architect

Milford, MA · On-site

$69 - $91/hr

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Establish engineering standards covering code quality, testing, automation, deployment, and ...

Deloitte

Lead Generative AI Data Engineer III

Boston, MA

$111K - $146K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality ...

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How much do generative ai testing jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for generative ai testing in Quincy, MA is $56.49, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $64.71 per hour, depending on experience, location, and employer.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What job categories do people searching Generative Ai Testing jobs in Quincy, MA look for?

The top searched job categories for Generative Ai Testing jobs in Quincy, MA are:

What cities near Quincy, MA are hiring for Generative Ai Testing jobs?

Cities near Quincy, MA with the most Generative Ai Testing job openings:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Quincy, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,501 per year, or $56.5 per hour.

Snowflake Cortex AI Tester

Cognizant Technology Solutions

Boston, MA • On-site

$124K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Cognizant rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

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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.

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