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

... testing, documentation, and feedback tracking; handle sensitive AI Operations materials with ... High level of fluency with generative AI tools, such as ChatGPT, Claude, Copilot, Harvey, custom ...

Xometry is seeking a talented Mechanical Engineer to join our Generative AI and Geometric ... Integration Support: Assist in testing and validating the real-time manufacturability (DFM) and ...

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Generative Ai Testing information

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How much do generative ai testing jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for generative ai testing in Boston, MA is $58.37, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $66.88 per hour, depending on experience, location, and employer.

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 much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

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 salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

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.

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 model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

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 popular job titles related to Generative Ai Testing jobs in Boston, MA? For Generative Ai Testing jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Generative Ai Testing jobs? Cities near Boston, MA with the most Generative Ai Testing job openings:
Software Engineer - GenAI

Software Engineer - GenAI

Alpha Consulting Corp.

North Reading, MA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Alpha Consulting Corp. is seeking a Software Engineer - GenAI to design and deploy Generative AI solutions. The role involves collaborating with global teams to create scalable AI applications while adhering to software engineering best practices.
Responsibilities:
• Design, build, and deploy end-to-end Generative AI and agentic AI solutions, from prototype to production
• Deliver LLM-powered applications, including Retrieval-Augmented Generation (RAG) pipelines and agentic frameworks
• Champion software engineering best practices: clean code, robust testing, code reviews, and clear documentation
• Stay ahead of the curve by evaluating and applying the latest AI/ML tools and techniques
• Collaborate with global teams including program managers, QA, security, and UX to translate business needs into scalable, enterprise-grade AI solutions
• Bring creative energy to brainstorming sessions and help shape our products, processes, and team culture
Qualifications:
Required:
• Skilled software engineer with a passion for GenAI and a track record in building production-quality systems.
• 5+ years of professional software development experience, with strong Python skills for real-world application development.
• Hands-on experience with Generative AI, including large language models (LLMs), prompt engineering, agentic systems, and tools like OpenAI API or GitHub Copilot.
• Familiarity with RAG pipelines and agentic frameworks (such as LangChain, AutoGen, CrewAI)
• Experience integrating AI into enterprise software systems.
• Solid understanding of AI/ML best practices and secure, responsible AI development.
• Experience with cloud platforms (Azure preferred) and Windows-based development environments.
• Excellent communication skills and the ability to work both independently and as part of a global team.
• Bachelor’s degree in Computer Science or a related field (or equivalent professional experience).
Company:
Alpha Consulting Corp. has been exceeding expectations in the IT, pharmaceutical, and clinical staffing business since 1994. Founded in 1994, the company is headquartered in East Brunswick, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Alpha Consulting logo

About Alpha Consulting

Sourced by ZipRecruiter

Alpha Consulting is headquartered in East Brunswick, NJ, US and operates in the consulting sector. As a high-visibility consultant in the IT and pharmaceutical services industry, they deliver comprehensive project, process, and applications management solutions to businesses across these sectors. Empowering their clients to achieve their objectives through innovative and cost-effective strategies is the core belief of Alpha. Their mission is to offer experienced consulting and IT services that help clients attain their business objectives by seamlessly bridging the gap between business goals and technology implementation.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

1994

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