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Ai Validation Jobs in Raleigh, NC (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Cary, NC · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... validation. * Demonstrated skill in reviewing the work of others--through peer review, supervision ...

micro1 AI

AI Training Specialist - Physics

Durham, NC · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... validation. * Demonstrated skill in reviewing the work of others--through peer review, supervision ...

micro1 AI

AI Training Specialist - Physics

Raleigh, NC · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... validation. * Demonstrated skill in reviewing the work of others--through peer review, supervision ...

SAS

CI360 AI & Agentic AI Product Manager

Cary, NC · On-site

Utilize rapid prototyping techniques to validate ideas and drive adoption of AI and Agentic AI solutions that improve marketer productivity and business outcomes. * Ensure AI capabilities are ...

Mondo

AI Engineer

Raleigh, NC · Remote

$130K - $160K/yr

Use AI coding tools such as Claude Code or Codex while reviewing and validating generated code * Collaborate cross-functionally with product, engineering, and business teams Minimum Requirements: * 3 ...

Pendo

GTM AI Engineer

Raleigh, NC

Partner directly with GTM stakeholders to surface high-value problems, validate solutions, drive adoption, and set honest expectations about AI capabilities and limitations. * Develop and maintain ...

Pendo

GTM AI Engineer

Raleigh, NC · On-site

Partner directly with GTM stakeholders to surface high-value problems, validate solutions, drive adoption, and set honest expectations about AI capabilities and limitations. * Develop and maintain ...

Envestnet

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...

Lumexa Imaging, Inc.

AI Solutions Architect

Raleigh, NC · On-site

$120 - $160/hr

Rapidly develop MVPs and proof-of-concepts to validate solution feasibility and business value * Configure and leverage enterprise AI tools (e.g., copilots, automation platforms, embedded AI features ...

US Radiology Specialists

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

Rapidly develop MVPs and proof-of-concepts to validate solution feasibility and business value * Configure and leverage enterprise AI tools (e.g., copilots, automation platforms, embedded AI features ...

Itron, Inc

AI Developer

Raleigh, NC

We are seeking an AI Developer to design and build AIpowered solutions using Microsoft's AI ... validate outcomes, and iterate based on feedback and analytics. * Provide guidance and enablement ...

Accenture

AI & HPC Infrastructure Engineer

Raleigh, NC · On-site

$104K - $137K/yr

... validate AI cluster performance across compute and networking layers including multi-node training and inference workloads * Develop and maintain documentation including architecture diagrams ...

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Ai Validation information

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How much do ai validation jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai validation in Raleigh, NC is $50.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.32 and $61.44 per hour, depending on experience, location, and employer.

What is an AI validation?

An AI Validation job involves testing and verifying artificial intelligence models to ensure they function correctly, reliably, and ethically. This includes evaluating model accuracy, bias, robustness, and compliance with industry standards. AI validation specialists use various techniques such as data validation, performance testing, and adversarial testing to assess AI systems. Their work helps improve model quality, mitigate risks, and ensure AI applications are safe for real-world deployment.

What does an AI validation do?

An AI Validation professional is responsible for evaluating the performance, reliability, and safety of AI models before deployment. This includes designing and executing test cases, analyzing outputs for bias and errors, and documenting results to inform further model refinement. They often collaborate closely with data scientists, engineers, and QA teams to ensure the AI system meets quality and compliance standards. Day-to-day tasks may involve working with datasets, preparing validation reports, and participating in cross-functional review meetings. This role is critical in ensuring that AI systems function as intended in real-world applications.

What are the key skills and qualifications needed to thrive in the AI validation position?

To thrive in AI Validation, you need strong analytical skills, familiarity with machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with tools such as Python, TensorFlow, PyTorch, and version control systems, as well as knowledge of data annotation and model evaluation frameworks, is highly valuable. Excellent attention to detail, problem-solving skills, and effective communication are important soft skills for success in this role. These competencies are essential to ensure that AI models are robust, accurate, and meet project requirements for deployment.

What are the most commonly searched types of Ai Validation jobs in Raleigh, NC?

The most popular types of Ai Validation jobs in Raleigh, NC are:

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Ai Validation jobs near you
Infographic showing various Ai Validation job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $105,133 per year, or $50.5 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Raleigh, NC • Remote

$80 - $110/hr

Part-time

Posted 15 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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