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Senior Artificial Intelligence Testing information

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$25K

$80.3K

$163.5K

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

As of Jul 10, 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 are the key skills and qualifications needed to thrive as a Senior Artificial Intelligence Testing professional, and why are they important?

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 Senior Artificial Intelligence Testing professionals?

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.

Is AI testing a good career?

AI testing is a growing field within artificial intelligence roles, focusing on evaluating AI systems for accuracy, reliability, and safety. It requires skills in programming, data analysis, and understanding AI models, often involving tools like Python and machine learning frameworks. The demand for AI testers is increasing as AI applications expand across industries, making it a promising career path for those with technical expertise.

How much do AI testers get paid?

AI testers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior AI testers with specialized skills in machine learning and automation tools can earn higher salaries, often exceeding $130,000 per year.

What are some 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 salary of AI tester?

The salary of a Senior Artificial Intelligence Tester typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals in this role often require knowledge of machine learning, programming, and testing tools, and may work in teams using automation frameworks.

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 or lead engineer, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized certifications, and may include responsibilities like developing innovative AI models or overseeing AI projects in a corporate environment.

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.

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What cities are hiring for Senior Artificial Intelligence Testing jobs? Cities with the most Senior Artificial Intelligence Testing job openings:
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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 July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. 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 Engineer

Senior Artificial Intelligence Engineer

Flexion Inc

Madison, WI • Remote

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Why you want to work at Flexion:

We’re looking for a Senior Artificial Intelligence Engineer to help mature Flexion’s AI application development capabilities. Flexion is committed to providing top-tier AI application development services and is looking for an Artificial Intelligence Engineer to help us advance our capabilities. Most of the work we do is on large-scale, enterprise-wide systems (both commercial and government).

At Flexion (an agile software company that’s been delivering excellence for over 25 years), our company culture is built on autonomy, trust, and transparency. We empower teams to remain self-sufficient and self-directed by hiring people who can solve complex problems through collaboration—this means lending a hand and flexing your multi-skilled muscles (research, content, business analysis, information architecture, etc.) as needed. Every member within a cross-functional team is a leader who takes responsibility for the entire team’s success, which mirrors the company’s overall low bureaucracy structure.

What the job looks like:

You’ll be responsible for building AI applications and helping create AI application capability within Flexion. The project work is primarily remote but may require some client on-site work estimated at <10%.

  • Lead AI application architectural design activities, particularly in the domain of Generative AI.
  • Lead AI application implementation and operations activities.
  • Help Flexion develop or adopt learnable AI development and deployment patterns, and avoid common pitfalls.
  • Coach other engineers in AI application development and operations.
  • Potentially fill roles adjacent to AI application development, if needed.
Why we want to hire you:

You can design incrementally, while still thinking about how they fit into the whole. You welcome change as a positive thing (instead of viewing it as “rework”) and never look at anything you deliver as “final.” You understand when “good enough” really IS good enough, without ever compromising on the overall product quality.

You have:

  • At least 10 years building and operationalizing AI/ML powered applications.
  • At least 5 years experience working in an agile environment.
  • A bachelor's degree or commensurate experience.
  • Knowledge of lean and agile methodologies to deliver a quality product with minimal churn.
  • Strong communication and coaching skills.
  • Experience teaching and mentoring folks less seasoned with AI tools
  • Production-level experience with the entire ML Lifecycle including training, fine tuning, deploying, monitoring, and retraining
  • Production-level experience using and managing ML Lifecycle tooling including experiment trackers, model registry, feature stores, vector databases and deployment services
  • Production-level experience with scaling services including containerization, container orchestration, load testing, autoscaling, and monitoring
  • Production-level experience with scaling AI and ML specific services including the use of quantization, pruning, distributed computing on accelerated infrastructure, model compilation techniques, and inference graphs
  • Production-level experience with AI cloud deployment strategies and technologies
  • Production-level experience with selecting foundation or pre-trained models and finetuning them for specific use cases
  • Production-level experience with optimizing models and inference pipelines
  • Experience seeking out and exploring new potential opportunities to help partners advance their journey to, and into the use of AI
At Flexion, we live by these principles:
  • Speak openly and honestly with your colleagues and clients about problems and proposed solutions
  • Welcome and handle changing requirements and priorities with little or no warning
  • Collaborate online in small groups about 50% of the time
  • Encourage simple and minimal solutions that keep options open
  • Expect and vocally advocate for quality first
  • Learn new practices and techniques as the situation demands
  • Ensure the teams develop demonstrable software every week or two
  • Do what needs to be done to deliver the product or project without ego or attitude
  • Dig deep to find the root causes of problems so we can create the right solutions
  • Relentlessly improve yourself, your team, and your processes

The salary for this position is in the $200,000-$250,000 range annually.

The most efficient way to reach our recruiting team is to submit your resume through the URL provided.

Equal Employment Opportunity/Affirmative Action Employer

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 608-205-8868 for assistance.

Benefits

At Flexion, employees enjoy comprehensive health, dental, and vision coverage, along with life and disability insurance, flexible spending accounts, and a 401(k) plan. Our people-first culture supports balance and growth with generous paid time off, referral bonuses, and a commitment to well-being and career success.