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Artificial Intelligence Testing Jobs in Seattle, WA

Actalent

R&D Mechanical Technician

Tacoma, WA · On-site

$72K - $83K/yr

... final testing. This role requires strong mechanical aptitude, problem-solving skills, and the ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Actalent

Mechanical Technician

Tacoma, WA

$72K - $83K/yr

... final testing. This role requires strong mechanical aptitude, problem-solving skills, and the ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

TSMG

Senior Teleoperations Lead

Seattle, WA · On-site

... training, robotic testing, and commercial deployment programs. In this role, you will be ... Excellent communication and reporting abilities We may use artificial intelligence (AI) tools to ...

TSMG

Senior Teleoperations Lead

Seattle, WA

... training, robotic testing, and commercial deployment programs. In this role, you will be ... Excellent communication and reporting abilities We may use artificial intelligence (AI) tools to ...

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How much do artificial intelligence testing jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for artificial intelligence testing in Seattle, WA is $52.89, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $57.98 per hour, depending on experience, location, and employer.

What is an artificial intelligence testing job?

An Artificial Intelligence Testing job involves evaluating and validating AI models, algorithms, and systems to ensure accuracy, reliability, and fairness. Testers design test cases, identify biases, detect errors, and assess model performance under different conditions. They use tools like automation frameworks, data validation techniques, and model debugging to improve AI functionality. The role requires knowledge of machine learning, programming, and testing methodologies to ensure AI systems perform as expected in real-world scenarios.

What are the key skills and qualifications needed to thrive in artificial intelligence testing?

To thrive in Artificial Intelligence Testing, candidates typically need a background in computer science, machine learning concepts, software testing methodologies, and knowledge of programming languages like Python or Java. Familiarity with AI testing frameworks, version control systems, and tools such as TensorFlow, PyTorch, or JUnit is highly valued, along with certifications in software testing or AI. Strong problem-solving ability, attention to detail, and effective communication skills are critical soft skills in this role. These qualifications ensure the tester can rigorously validate AI models, collaborate well with development teams, and maintain high-quality, reliable AI systems.

What are some common challenges faced by professionals in artificial intelligence testing?

Professionals in Artificial Intelligence Testing often encounter unique challenges, such as validating the unpredictable behavior of machine learning models and ensuring algorithmic fairness and accuracy. They must design comprehensive test cases to cover a wide variety of data inputs and potential edge cases, often in complex, rapidly evolving environments. Collaboration with data scientists, developers, and stakeholders is essential to understand model requirements and to interpret test results accurately. Staying up-to-date with advances in both AI and testing technologies is also key, as the field is continually evolving.

How do I become an artificial intelligence tester?

To become an artificial intelligence tester, you typically need a background in computer science, software engineering, or data science, along with knowledge of machine learning and AI concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model behavior are essential. Earning relevant certifications or completing specialized training can also improve job prospects.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Seattle, WA?

The most popular types of Artificial Intelligence Testing jobs in Seattle, WA are:

What are popular job titles related to Artificial Intelligence Testing jobs in Seattle, WA?

For Artificial Intelligence Testing jobs in Seattle, WA, the most frequently searched job titles are:

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Artificial Intelligence Testing jobs near you
Infographic showing various Artificial Intelligence Testing job openings in Seattle, WA as of August 2026, with employment types broken down into 8% Internship, 64% Full Time, 15% Part Time, 4% Temporary, and 9% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $110,009 per year, or $52.9 per hour.

Applied AI/ML Lead - Payments

JPMorgan Chase & Co.

Seattle, WA • On-site

$171K - $260K/yr

Full-time

Medical, Retirement

Re-posted 11 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description


Are you passionate about harnessing the power of artificial intelligence and machine learning to solve real-world challenges? At JPMorganChase, we're transforming the way payments work in the Commercial & Investment Bank by leveraging cutting-edge document extraction and natural language processing (NLP) technologies. As a Vice President and Applied AI/ML Lead, you'll play a pivotal role in building innovative solutions that enhance trust, safety, and operational efficiency for one of the world's leading financial institutions.
As a Vice President, Applied AI and Machine Learning Lead at JPMorganChase within Payments Technology in the Commercial & Investment Bank, you will lead the delivery of document extraction and natural language processing capabilities that improve trust, safety, and operational effectiveness. You will own solutions end-to-end, from problem framing and data strategy to production deployment and measurement. You will remain hands-on while setting technical direction and partnering across product, engineering, data, risk, and compliance stakeholders.
Job Responsibilities
  • Own end-to-end delivery of document extraction and natural language processing solutions, from opportunity sizing and requirements through production rollout and iteration.
  • Design scalable model pipelines for document ingestion, text extraction, classification, and ranking, balancing accuracy, latency, throughput, and cost.
  • Develop and improve natural language processing algorithms and model approaches to extract entities, relationships, and signals from unstructured text and documents.
  • Define evaluation strategies and success metrics, including offline validation, error analysis, robustness testing, and controlled online measurement where appropriate.
  • Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection, and incident response to sustain reliable production performance.
  • Partner with risk and compliance stakeholders to ensure appropriate documentation, controls, explainability expectations, and audit-ready processes.
  • Drive technical decisions through design reviews, code and model reviews, and pragmatic standards that raise quality and delivery velocity.
  • Communicate tradeoffs and recommendations to senior stakeholders, translating model behavior into decision-ready business impact.

Required Qualifications, Capabilities, and Skills
  • Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
  • 5+ years of experience building and delivering applied machine learning or natural language processing solutions with measurable outcomes in production.
  • Strong programming skills in Python and experience using modern machine learning frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with document extraction and natural language processing techniques including text classification and information extraction.
  • Experience designing data-driven solutions using SQL and distributed processing tools such as Spark or equivalent.
  • Experience deploying and operating machine learning services or pipelines in a cloud environment such as Amazon Web Services (or equivalent).
  • Demonstrated ability to translate ambiguous business problems into structured machine learning plans, including data strategy, evaluation, rollout, and operationalization.
  • Strong communication and collaboration skills, including the ability to explain technical tradeoffs to technical and non-technical partners.

Preferred Qualifications, Capabilities, and Skills
  • Experience with optical character recognition and document understanding workflows for scanned or semi-structured documents.
  • Experience with modern natural language processing architectures such as transformer-based models and techniques for optimization and efficient inference.
  • Experience with machine learning operations practices and tooling, including model registries, continuous integration and delivery for machine learning, and observability.
  • Experience with real-time or event-driven architectures supporting low-latency inference and feature generation.
  • Experience applying document extraction or natural language processing in payments, financial services, or regulated environments.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
#LI-RB3
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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