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Artificial Intelligence Testing Jobs in New York

J.P. Morgan

Senior Lead Security Engineer

New York, NY · On-site

$125K - $171K/yr

Drive reuse-first adoption of artificial intelligence - assisted security validation within the software development life cycle and delivery toolchain to improve control testing, remediation quality ...

JP Morgan Chase

Senior Lead Security Engineer

Brooklyn, NY · On-site

$125K - $171K/yr

Drive reuse-first adoption of artificial intelligence-assisted security validation within the software development life cycle and delivery toolchain to improve control testing, remediation quality ...

JPMorgan Chase & Co

Senior Lead Security Engineer

Brooklyn, NY · On-site

$125K - $171K/yr

Drive reuse-first adoption of artificial intelligence-assisted security validation within the software development life cycle and delivery toolchain to improve control testing, remediation quality ...

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How much do artificial intelligence testing jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for artificial intelligence testing in New York is $50.84, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $55.77 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 New York?

The most popular types of Artificial Intelligence Testing jobs in New York are:

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For Artificial Intelligence Testing jobs in New York, the most frequently searched job titles are:

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What cities in New York are hiring for Artificial Intelligence Testing jobs?

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Artificial Intelligence Testing jobs near you
Infographic showing various Artificial Intelligence Testing job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,756 per year, or $50.8 per hour.

Senior Product Manager - Applied AI - Vice President

JPMorgan Chase & Co.

Manhattan, NY • On-site

$150 - $200/hr

Other

Re-posted 25 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks

Job description

Help transform how we design, build, and launch co branded card products by applying modern automation and generative artificial intelligence. You will turn complex, high-impact work into simpler, faster, and safer experiences for our teams and our customers.

Job Summary

As a Product Manager Co Branded Cards in our Co Branded Card team, you lead discovery and delivery of automation and agent-enabled workflows that improve speed, quality, and control readiness across the product lifecycle. You partner closely with design, data, engineering, operations, legal, risk, and compliance to build applications that are useful, trusted, and easy to adopt. You prioritize outcomes and measurable value, delivering minimum viable releases that scale.

Job responsibilities
  • Engage business users and customers to understand needs, map pain points, and validate solutions through rapid testing and feedback
  • Co-develop the product vision, strategy, roadmap, and release plan for applied generative artificial intelligence use cases
  • Translate complex processes into clear responsibilities across automation agents, tools, and people, including exception paths and approvals
  • Build and manage a business-outcome-driven backlog focused on performance, accuracy, value, and user experience
  • Partner with engineering teams to define requirements, acceptance criteria, and iterative delivery milestones in an agile model
  • Embed responsible artificial intelligence practices from day one, including explainability, audit trails, testing, and control evidence
  • Drive alignment across business, finance, technology, architecture, operations, legal, risk, and compliance stakeholders
  • Define and track key performance indicators such as adoption, time saved, quality, accuracy, throughput, and operational risk exceptions
  • Lead change management with frontline and operations teams through training, enablement, communications, and feedback loops
  • Ensure solutions meet security, privacy, and regulatory expectations for data protection and usage
  • Monitor outcomes post-launch and continuously improve product performance, reliability, and usability
Required qualifications, capabilities, and skills
  • Bachelor’s degree in computer science or a related engineering field, or equivalent practical experience
  • 10 or more years of product management experience delivering enterprise software or digital products
  • 2 or more years building or managing generative artificial intelligence products, autonomous workflows, or human-in-the-loop decision systems
  • Recent experience delivering applied artificial intelligence solutions in regulated or high-volume environments
  • Ability to break down complex workflows into clear requirements, operating steps, and measurable outcomes
  • Working knowledge of governance concepts such as controls, auditability, monitoring, and risk management for artificial intelligence systems
  • Strong customer focus with demonstrated ability to translate user needs into simple, high-impact product experiences
  • Excellent written and verbal communication skills, including influencing without direct authority
  • Strong analytical skills with a track record of using data to prioritize, measure impact, and drive decisions
  • Proven ability to lead cross-functional teams and manage multiple initiatives with clear structure
  • Comfort working in fast-paced environments with changing priorities and iterative delivery expectations
(Optional) Preferred qualifications, capabilities, and skills
  • Master of business administration or advanced degree in a related field
  • Experience in cards, payments, lending, or partner-based consumer financial products
  • Experience with software as a service products, data analytics products, or cloud-based platforms
  • Familiarity with experimentation, rapid prototyping, and product discovery methods
  • Experience designing operational workflows for frontline or back-office teams
  • Experience defining evaluation and quality frameworks for nondeterministic system behavior
  • Strong understanding of automation platforms and workflow orchestration patterns

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting.

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