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Flexible Ai Validation Jobs in Renton, WA (NOW HIRING)

VP, AI

Bellevue, WA · On-site

$226.30 - $260/hr

Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on ... Drive experimentation frameworks that enable rapid validation of new AI concepts while maintaining ...

Agentic AI Engineer

Seattle, WA · Hybrid

$130K - $170K/yr

  • Retirement

Experience designing and evaluating LLM pipelines including prompt engineering, output validation ... Hybrid working model: 3 days in-office, 2 days WFH/flexible * Monday team lunches, snacks and ...

Agentic AI Engineer

Seattle, WA · Hybrid

$130K - $170K/yr

Experience designing and evaluating LLM pipelines including prompt engineering, output validation ... Hybrid working model: 3 days in-office, 2 days WFH/flexible * Monday team lunches, snacks and ...

Agentic AI Engineer

Seattle, WA · On-site

$130K - $170K/yr

  • Retirement

Experience designing and evaluating LLM pipelines including prompt engineering, output validation ... Hybrid working model: 3 days in-office, 2 days WFH/flexible * Monday team lunches, snacks and ...

Staff Software Engineer, Applied AI

Seattle, WA · On-site

$230K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions ... At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work ...

Senior Software Engineer, Applied AI

Seattle, WA · On-site

$190K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions ... At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work ...

Senior Software Engineer, AI Platform

Seattle, WA · On-site

$190K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions ... At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work ...

Lead AI Engineer - AWS Platform

Seattle, WA · On-site +1

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Senior Manager, AI Engineering

Seattle, WA · On-site

$240K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions ... At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work ...

Software Engineer, Applied AI

Seattle, WA · On-site

$166K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions ... At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work ...

Senior AI Engineer

Seattle, WA · On-site

$150K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... validation, and versioning. * Build agents that support Marketing, such as: * Generating and ... Engineer (flexible based on seniority). * Proven experience building AI agents or LLM-driven ...

Senior AI Engineer

Seattle, WA · On-site

$150 - $220/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... validation, and versioning. * Build agents that support Marketing, such as generating and ... or AI Engineer (flexible based on seniority). * Proven experience building AI agents or ...

AI & Automation Engineer

Seattle, WA · On-site

$130K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deploy and maintain automations with strong validation, human-in-the-loop review, monitoring, and ... Flexible and level-headed, with strong organizational and project management skills. Why Join Us?

AI Native Software Engineer

Seattle, WA · On-site

$124 - $155/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Size opportunities using data and business context; design and execute experiments to validate ... Flexible paid time off * Health, dental, and vision + 401(k) plan with company matching * Paid ...

Senior AI Native Software Engineer

Seattle, WA · On-site

$180 - $225/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Size opportunities using data and business context; design and execute experiments to validate ... Flexible paid time off * Health, dental, and vision insurance * 401(k) plan with company matching

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

... validation, and versioning. • Build agents that support Marketing, such as: • Generating and ... flexible based on seniority). • Proven experience building AI agents or LLM-driven applications ...

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... Flexible work schedule. * Opportunity to contribute to cutting-edge AI technology using your ...

New

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... Flexible work schedule. * Opportunity to contribute to cutting-edge AI technology using your ...

New

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Showing results 1-20

Flexible Ai Validation information

See Renton, WA salary details

$25

$58

$87

How much do flexible ai validation jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for flexible ai validation in Renton, WA is $58.49, according to ZipRecruiter salary data. Most workers in this role earn between $44.33 and $71.11 per hour, depending on experience, location, and employer.

What is a flexible AI validation?

Flexible AI Validators are professionals responsible for evaluating, testing, and verifying the performance and accuracy of artificial intelligence models and systems. Their role often involves working with various data sets, scenarios, and tasks to ensure AI outputs meet quality and ethical standards. They may work on projects ranging from natural language processing to computer vision, adapting to different validation requirements as needed. This job is crucial for improving AI reliability, fairness, and safety across different applications.

How does flexible AI validation typically interact with cross-functional teams during a project?

In a Flexible AI Validation role, you will frequently collaborate with data scientists, software engineers, and product managers to ensure that AI models meet performance and quality standards. Your main responsibilities include reviewing model outputs, providing feedback on accuracy, and suggesting improvements based on real-world data. Effective communication and adaptability are key, as priorities may shift rapidly depending on the project's needs. This role offers valuable exposure to various domains within AI, making it a great stepping stone for career growth in machine learning or AI product management.

What is the difference between Flexible Ai Validation vs Data Analyst?

AspectFlexible Ai ValidationData Analyst
Required CredentialsBasic understanding of AI models, certifications in AI or machine learning helpfulBachelor's degree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teams, remote or office-basedBusiness, finance, healthcare sectors; office or remote
Industry UsageAI validation, quality assurance for AI modelsData interpretation, reporting, and decision support

Flexible Ai Validation focuses on testing and ensuring the accuracy of AI models, often requiring knowledge of AI tools and certifications. Data Analysts interpret data, create reports, and support decision-making. While both roles work with data, Flexible Ai Validation emphasizes AI model validation, whereas Data Analysts focus on data analysis and insights.

What skills and qualifications are needed for flexible AI validation?

To thrive as an AI Validation Specialist, you need a strong background in data analysis, machine learning concepts, and quality assurance, typically supported by a degree in computer science or related field. Experience with annotation tools, model evaluation frameworks, and knowledge of programming languages like Python are commonly required. Attention to detail, critical thinking, and effective communication are vital soft skills for identifying issues and collaborating with development teams. These abilities are crucial to ensure AI systems are accurate, reliable, and aligned with business requirements.

What job categories do people searching Flexible Ai Validation jobs in Renton, WA look for?

The top searched job categories for Flexible Ai Validation jobs in Renton, WA are:

$226.30 - $260/hr

Other

Posted 8 days ago


Job description

Immigration / Work Authorization Notice

Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

Compensation

Target cash compensation range: $226,300-260,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full‑time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non‑exempt roles will also be eligible for (pre‑approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job‑related reasons.

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full‑time or part‑time office‑based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office‑based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

Responsibilities
  • Define and execute iSpot’s AI product strategy across the Creative, Audience, and Outcomes (CAO) product portfolio.
  • Identify high‑value opportunities to apply generative AI, agentic systems, machine learning, and advanced analytics to deliver differentiated customer experiences and measurable business outcomes.
  • Lead the incubation, prototyping, and commercialization of AI‑powered products and features across creative intelligence, audience measurement, and outcome attribution solutions.
  • Partner with Product and Engineering leaders to embed AI capabilities into existing products and future roadmaps.
  • Establish technical direction and architectural patterns for scalable, secure, and responsible AI systems.
  • Build and lead a high‑performing team of AI engineers, scientists, and product specialists focused on customer‑facing innovation.
  • Drive experimentation frameworks that enable rapid validation of new AI concepts while maintaining strong execution discipline.
  • Collaborate directly with customers, partners, and commercial teams to understand market needs and translate them into differentiated AI capabilities.
  • Evaluate emerging AI technologies, vendors, and platforms to accelerate time‑to‑market and maximize business impact.
  • Ensure responsible AI practices, governance, security, privacy, and compliance considerations are embedded into all customer‑facing solutions.
  • Define success metrics and business outcomes for AI initiatives, including customer adoption, revenue impact, operational efficiency, and product differentiation.
  • Represent iSpot externally as a thought leader on AI innovation within advertising, media measurement, audience intelligence, and marketing technology.
Qualifications and Education Requirements
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; advanced degree preferred.
  • 15+ years of technology leadership experience, including significant experience building AI, machine learning, or data‑driven products.
  • Proven track record of delivering customer‑facing AI products that have created measurable business impact.
  • Deep understanding of modern AI technologies, including large language models, agentic systems, retrieval architectures, machine learning platforms, and generative AI applications.
  • Experience leading cross‑functional organizations spanning engineering, product management, and data science.
  • Strong technical depth with the ability and willingness to remain hands‑on when necessary.
  • Excellent communication skills and the ability to translate complex technical concepts into clear business outcomes.
  • Demonstrated success operating in fast‑paced, high‑growth environments and driving organizational change.
  • Strong understanding of responsible AI principles, data governance, privacy, and enterprise security.
Preferred Skills
  • Experience within advertising technology, media measurement, marketing technology, or consumer insights platforms.
  • Experience building and deploying agentic AI systems and autonomous workflows in production environments.
  • Familiarity with modern MLOps practices and cloud‑native AI platforms.
  • Track record of creating new products or revenue streams through AI‑enabled capabilities.
  • Experience working directly with enterprise customers to shape product strategy and innovation priorities.
  • MS or advanced technical degree preferred.
Additional Notes
  • This role is focused on accelerating iSpot’s customer‑facing AI innovation agenda and delivering differentiated capabilities across our Creative, Audience, and Outcomes product portfolio.
  • Success in this role will be measured by the ability to translate emerging AI technologies into meaningful customer value, strengthen our competitive position, and drive measurable business outcomes.
  • We are looking for a builder, operator, and hands‑on technical leader who combines strategic vision with a bias for execution, experimentation, and rapid learning. The ideal candidate is equally comfortable discussing long‑term AI strategy with executives and working alongside engineers to bring innovative ideas to life.

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

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