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Senior Artificial Intelligence Testing Jobs (NOW HIRING)

Uofl

$185K/yr

The University of Louisville is seeking to hire a Senior Artificial Intelligence (AI) Solutions Architect to operate at the intersection of technical teams and organizational stakeholders as the ...

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Senior Artificial Intelligence Testing information

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$80.3K

$163.5K

How much do senior artificial intelligence testing jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior artificial intelligence testing in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a senior artificial intelligence testing professional?

Senior Artificial Intelligence Testing professionals are experienced specialists responsible for designing, executing, and overseeing tests to ensure the quality, reliability, and ethical standards of AI systems. They develop test plans, create testing frameworks, and analyze AI model behaviors to identify errors, biases, or security vulnerabilities. They often collaborate with data scientists, engineers, and product managers to refine AI algorithms and ensure they perform as intended in real-world scenarios. Their role is critical in maintaining trust and safety in AI-driven products and services.

What skills and qualifications are needed to thrive as a senior artificial intelligence testing professional?

To thrive as a Senior Artificial Intelligence Testing professional, you need expertise in software testing methodologies, machine learning concepts, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with AI testing frameworks, automated testing tools (such as TensorFlow, PyTorch, Selenium), and relevant certifications (like ISTQB) is often required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are critical to ensuring the quality, reliability, and ethical integrity of AI systems in complex, real-world applications.

What are common challenges faced by senior artificial intelligence testing professionals, and how can they be addressed?

Senior Artificial Intelligence Testing professionals often encounter challenges such as ensuring the reliability of complex AI models, dealing with insufficient or biased data, and validating unpredictable outputs. Addressing these issues typically involves developing comprehensive test plans, employing advanced testing frameworks, and collaborating closely with data scientists and engineers. Regular communication with cross-functional teams and staying updated on the latest AI testing methodologies are also essential for overcoming these challenges and ensuring robust, ethical AI systems.

What is the difference between Senior Artificial Intelligence Testing vs Machine Learning Engineer?

AspectSenior Artificial Intelligence TestingMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in AI testing toolsBachelor's or Master's in CS, strong programming skills, knowledge of ML frameworks
Work EnvironmentAI development teams, quality assurance, testing labsData science teams, software development environments, cloud platforms
Employer & Industry UsageTech companies, AI-focused firms, research institutionsTech companies, startups, research labs, AI product companies
Common Search & Comparison IntentUnderstanding testing roles in AI projectsDeveloping and deploying machine learning models

While Senior Artificial Intelligence Testing focuses on evaluating and validating AI systems for accuracy and reliability, Machine Learning Engineers design, build, and optimize machine learning models. Both roles require a strong background in computer science and AI, but their core responsibilities differ: testing emphasizes quality assurance, whereas engineering emphasizes model development and deployment.

How do I become a senior artificial intelligence testing?

To become a senior artificial intelligence testing professional, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI development and testing. Proficiency in programming languages like Python, knowledge of AI frameworks, and familiarity with testing tools are essential, often complemented by advanced degrees or certifications in AI or software testing. Progression usually involves gaining experience in AI projects, demonstrating leadership skills, and staying updated with emerging AI technologies and testing methodologies.

Is senior artificial intelligence testing a good career?

Senior artificial intelligence testing is a specialized role that involves evaluating AI systems for accuracy, reliability, and safety, often requiring skills in programming, data analysis, and understanding of machine learning models. It is a growing field with increasing demand as AI technologies expand across industries, offering opportunities for career advancement and specialization. The role typically requires experience, technical certifications, and knowledge of testing tools and frameworks.
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Senior Artificial Intelligence Testing jobs near you
Infographic showing various Senior Artificial Intelligence Testing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Artificial Intelligence Developer

Huck Adventures

Boulder, CO • On-site

$56.50 - $74.75/hr

Full-time

Re-posted 13 days ago

Job description

Company Description
Huck Adventures brings people outside to explore the world together. The outdoor app makes it easy for people to connect with one another and get the educational and safety resources they need to for great adventures. Tailored to outdoor recreation, the app includes availability and skillset matching, communication, event, education, and safety tools all in one place. Huck Adventures partners with like-minded organizations and donates 10 percent of its profits to environmental and outdoor recreation nonprofits, so everyone can enjoy the adventure and beauty of the great outdoors. Learn more at www.huckadventures.com.
  • We expect a lot. Our culture is unique and we live by our values, so it's worth learning more about Huck Culture online.
  • We are a tight and driven team with big goals, so we seek individuals who are truly passionate about their work.
  • We are a start-up aiming to be a big company and have co-founder opportunities available.

Job Description
Huck maintains a relentless focus on continually improving our product through analytics and experimentation. We are seeking a talented and passionate data scientist to help drive innovation for our user interfaces on mobile, web. This is a high-impact position where your analytical insights and interpretation of test results will have a direct impact on product decisions. All future product changes will be tested before productization.
Responsibilities:
  • Partner closely with product management leadership, designers, and engineers to design and analyze app development that drive key product decisions.
  • Proactively perform data exploration on user behavior to discover future testing opportunities. Past projects included segmenting customers based on network characteristics and visualizing how users navigate the application.
  • Research the best metrics to measure user engagement.
  • Build data products to rapidly turn novel ideas into web apps and dashboards.
  • Scale your solutions to enable partners to self-serve effectively and automating common data science workflows.
  • Present your research and insights to all levels of the company, clearly and concisely.

Qualifications
  • PhD degree in Statistics, Mathematics, Physics, Operations Research, Econometrics or related field
  • 5+ years relevant experience with a proven track record of leveraging massive amounts of data to drive product innovation
  • Fire
  • Strong statistical knowledge and intuition - ideally utilized in A/B testing or other experimentation setting
  • Strong SQL skills
  • Strong Programming skills in firebase and firestore
  • Experience with distributed analytic processing technologies (Hive, Pig, Presto, Spark)
  • Experience creating data products and dashboards in Tableau, R Shiny, or D3.
  • Deep product sense
  • Ability to work independently and drive your own projects
  • Exceptional interpersonal and communication skills

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply