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Flexible Ai Validation Jobs (NOW HIRING)

Robotics Validation Engineer

San Carlos, CA ยท On-site

$130K - $160K/yr

Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans ... Flexible vacation and sick leave practices. * Paid parental leave. $130,000 - $160,000 a year ...

$155 - $206/hr

" About the Team: The AI Validation Platform team owns the cloud-agnostic, reliable, and cost ... Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts ...

We're looking for a hands-on engineer to support the testing and validation of mobile robotic ... Flexible vacation and sick leave practices. * Paid parental leave. Robust AI fosters a culture of ...

Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans ... Flexible vacation and sick leave practices. * Paid parental leave. $130,000 - $160,000 a year ...

Flexible remote work * Contribute to groundbreaking AI technology * Work on innovative, high-impact ... Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical Writing ...

Flexible remote work * Contribute to groundbreaking AI technology * Work on innovative, high-impact ... Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical Writing ...

Flexible remote work * Contribute to groundbreaking AI technology * Work on innovative, high-impact ... Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical Writing ...

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Flexible Ai Validation information

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How much do flexible ai validation jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for flexible ai validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 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.

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.

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.

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Infographic showing various Flexible Ai Validation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, and 3% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

$124 - $152/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 hours ago

Posted today


Job description

TITLE: AI GOVERNANCE LEAD

Location: Tarrytown, NY (Hybrid / Remote Option)

Pay Rate: $90 - $110 per hour Hours:

Duration: Long-Term Contract / Direct Hire Option

Summary This role drives the enterprise AI governance program across all functional business units for a leading life sciences organization. You will define model lifecycle standards, set technical assurance frameworks, and build a team to ensure regulatory compliance across AI applications. The ideal candidate blends technical depth with Life Sciences risk and GxP validation expertise.

Description โ€“ AI Governance Lead
  • Drive the enterprise AI governance program, use case intake, and cross-functional accountability with senior business stakeholders.
  • Define and own enterprise AI governance strategy across classical ML, foundation models, LLMs, fine-tuned models, and agentic systems.
  • Establish the enterprise AI risk framework, taxonomy, classification standards, and control requirements.
  • Lead citizen development governance to create safe, auditable, and approved boundaries for non-technical builders.
  • Build and lead a team of specialists spanning model validation, guardrails engineering, regulatory compliance, and governance.
  • Set technical assurance standards including validation frameworks, red-teaming, production monitoring, and pre-production sign-off gates.
  • Drive LLM and agentic AI governance around grounding, retrieval integrity, tool use controls, and human-in-the-loop enforcement.
  • Own GxP AI validation strategy and audit readiness across all regulated environments.
  • Lead regulatory intelligence for FDA, EMA, and EU AI Act frameworks in coordination with Legal, Compliance, and CISO.
Qualifications โ€“ AI Governance Lead
  • Bachelor's degree in a related technical, regulatory, or business discipline.
  • 5+ years of experience in AI governance, risk management, regulatory compliance, or AI/ML technical assurance.
  • Proven track record driving GxP AI validation strategy within aLife Sciences or Biopharma environment.
  • Deep knowledge of predictive, generative, and agentic systems and their respective production risk profiles.
  • Demonstrated experience interpreting and applying FDA AI/ML guidance, EU AI Act, and emerging regulatory frameworks.
  • Strong credibility communicating across engineering teams, regulatory bodies, and executive leadership.
Benefits
  • Pay Rate: $90 - $110 per hour
  • Available health, life, vision, and dental insurance
  • 401K Matching
  • Flexible hybrid/remote work arrangement options

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