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Contract Ai Validation Jobs (NOW HIRING)

Valspec

IT Validation Lead (GxP / CSV)

Libertyville, IL · Hybrid

$65 - $80/hr

This is a 12-month contract (W2 or 1099) at $65-$80/hour with strong potential for extension, on a hybrid schedule of three days per week onsite. AI validation is one of the least-charted frontiers ...

Biosimilar Sciences PR LLC

PR · On-site

... contract personnel , and serving as the validation subject matter expert during regulatory ... The Validation Manager is also expected to actively and continuously leverage AI-enabled tools and ...

ISOFT

Forward Deployed Engineer

Cincinnati, OH · On-site

Contract through Feb 2027 with high likelihood of extension/conversion (7 months) Work ... AI Validation & Evaluation * Design evaluation frameworks for LLM, agent-based, and decisioning ...

Mercor

Managed Care Contract Specialist

New York, NY · Remote

$85/hr

Evaluate AI-generated underpayment detection alerts, contract compliance outputs, and payment ... validate claim payments. * Conduct contract modeling and payment reconciliation to identify ...

Techlink Systems

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HYBRID - Contract Analyst - JC2026

Universal City, CA · On-site

$35 - $40/hr

... AI as needed - Update and maintain contract database (supplier names, end dates) to support renewal tracking and validation of active contracts - Execute DocuSign processes and coordinate document ...

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All JobsContract Ai Validation Jobs

Contract Ai Validation information

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$22

$51

$78

How much do contract ai validation jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for contract 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 the difference between Contract Ai Validation vs Data Analyst?

AspectContract Ai ValidationData Analyst
Required CredentialsTypically certifications in AI, machine learning, or data science; sometimes a degree in computer science or related fieldsBachelor's or master's in statistics, data science, or related fields; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentProject-based, often remote, focused on AI model validation and testingOffice or remote, analyzing data sets, creating reports, and providing insights
Industry UsageUsed in AI development, tech companies, and industries deploying AI solutionsUsed across finance, healthcare, marketing, and other sectors for data-driven decision making

Contract Ai Validation professionals focus on testing and validating AI models, ensuring accuracy and compliance, often requiring AI-specific certifications. Data Analysts interpret data to inform business decisions, using statistical tools and data visualization. While both roles handle data, Contract Ai Validation is specialized in AI model validation, whereas Data Analysts work broadly with data analysis and reporting.

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Contract Ai Validation jobs near you
Infographic showing various Contract Ai Validation job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

AI Quality Engineering Leadwith expertise inLLMs

People Force Consulting Inc

Eden Prairie, MN • On-site

$73K - $94K/yr

Other

Posted 13 days ago

Job description

Looking for a AI Quality Engineering Lead with expertise in LLMs (OpenAI, Azure OpenAI), Agentic AI, RAG pipelines, Python automation, and AI validation frameworks, responsible for driving AI quality assurance, workflow optimization, intelligent test automation, runtime reliability, and scalable enterprise AI governance across healthcare-focused AI solutions.

Roles and Responsibilities: -

Quality Engineering Architecture & Workflow Optimization Lead architecture and technical implementation of AI Quality Engineering solutions supporting AI-powered applications, LLM-enabled workflows, intelligent automation solutions, agentic systems, and enterprise AI platforms.

Design and implement scalable AI validation frameworks, AI-assisted testing approaches, runtime quality controls, reusable testing accelerators, and workflow optimization capabilities supporting enterprise AI delivery initiatives.

Support modernization of traditional Quality Engineering practices through intelligent automation, workflow orchestration, and scalable quality engineering patterns.

Develop automated validation approaches, anomaly detection processes, testing pipelines, and quality metrics supporting governance-aligned AI deployment practices.

Design and optimize human-in-the-loop validation workflows, operational review processes, and AI quality assurance controls supporting reliable and scalable AI-enabled systems.

Partner with engineering and business teams to identify operational bottlenecks, workflow optimization opportunities, automation use cases, and scalable quality engineering improvements.

Experience: - 8+ Years

Location: - Eden Prairie, MN(Hybrid)

Duration: - 6 Months Contract with possible extension

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Mandatory skills

AI Validation, Runtime Assurance & Automation Support AI validation activities, including prompt testing, workflow testing, regression testing, runtime quality assurance, and production reliability support. Partner with AI Engineering, AIOps, LLMOps, Security, Governance, Clinical, and Data teams to support scalable AI Quality Engineering and workflow automation processes across enterprise AI initiatives.

Design and support runtime quality practices, including telemetry alignment, monitoring coordination, validation processes, and runtime reliability improvement efforts.

Drive adoption of AI-assisted testing approaches, intelligent automation, reusable testing accelerators, and orchestration-aware testing practices.

Support observability and runtime visibility initiatives improving reliability, traceability, and confidence across AI-enabled systems.

Collaborate with Clinical, Operational, and Engineering stakeholders to support validation of healthcare workflows, operational processes, and AI-enabled business solutions.

Technical Enablement, Delivery & Operational Support delivery coordination activities across AI Quality Engineering and workflow optimization initiatives, including implementation planning, issue tracking, operational support, and release coordination activities.

Partner with stakeholders to evaluate implementation readiness, workflow dependencies, operational risks, automation opportunities, and quality considerations for AI initiatives. Support tooling evaluations, automation frameworks, orchestration tooling, and modernization initiatives supporting AI Quality Engineering maturity.

Help establish reusable workflow automation patterns, scalable testing assets, and engineering enablement practices across delivery teams. Support adoption of modern AI Quality Engineering and workflow optimization practices across engineering and business organizations.

Leadership, Collaboration & Continuous Improvement Lead and mentor engineers, analysts, contractors, and delivery teams while fostering a collaborative, continuously learning, and engineering-focused culture.

Communicate implementation risks, workflow optimization opportunities, technical trade-offs, and operational recommendations to technical and business stakeholders. Promote engineering discipline, continuous improvement, responsible AI adoption, and operational accountability across AI Quality Engineering initiatives.

Skills

Quality LLM, OpenAI,Azure, Python RAG Pipeline, AgenticAI.

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