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Full Time Ai Validation Jobs (NOW HIRING)

Alliant

Lead Model Validation

Chicago, IL · On-site

$95K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with AI Governance stakeholders to assist with review and onboarding on new AI solutions ... full-time, regular part-time, or temporary employment. Adhere to and ensure compliance of all ...

Flex HR

Act 60 & Tax Specialist

$80K/yr

Act 60 & Tax Specialist Delerme CPA • Remote (Puerto Rico) • Full-Time AI Disclosure: Flex HR ... Valid driver's license and reliable vehicle * Ability to travel throughout Puerto Rico for client ...

Caterpillar

Autonomy Validation Specialist

Mossville, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge of AI concepts, technologies and methodologies to develop and implement/apply AI products ... This position requires the candidate to work full-time at the Mossville, IL office. * Domestic ...

Lightmatter

Staff Hardware Validation Engineer

Mountain View, CA · On-site

$186K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant ... Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your ...

Lightmatter

Photonics Hardware Validation Engineer

Mountain View, CA · On-site

$177K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant ... Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your ...

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Full Time Ai Validation information

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How much do full time ai validation jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for full time 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 full time AI validation?

Full Time AI Validation jobs involve testing, evaluating, and verifying artificial intelligence models to ensure they perform accurately and reliably. Professionals in these roles assess AI algorithms for correctness, fairness, and bias, often by creating test datasets and running experiments. They work closely with data scientists and engineers to identify issues, improve model performance, and ensure compliance with industry standards. This role is essential in industries such as technology, healthcare, and finance, where trustworthy AI systems are critical.

What is the difference between Full Time Ai Validation vs Data Annotator?

AspectFull Time Ai ValidationData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal credentials, often on-the-job training
Work EnvironmentOffice or remote, collaborative teams, structured schedulesRemote or on-site, independent work, flexible hours
Industry UsageAI development companies, tech firms, startupsData labeling services, AI training datasets, machine learning projects
Search & Comparison IntentUnderstanding career roles, job requirements, industry differencesEntry-level positions, skill development, job opportunities

Full Time Ai Validation involves verifying and testing AI models to ensure accuracy, often requiring technical skills and collaboration within AI teams. Data Annotators focus on labeling data to train AI systems, typically with minimal formal credentials. Both roles are essential in AI development but differ in responsibilities, work environment, and skill requirements.

What are some common challenges faced by professionals working in full-time AI validation roles?

Professionals in full-time AI validation often encounter challenges such as keeping up with rapidly evolving AI technologies and ensuring that models perform reliably across diverse real-world scenarios. Balancing thorough testing with tight project deadlines can require strong organizational skills, as validation must be both comprehensive and timely. Additionally, collaboration with cross-functional teams—including data scientists, software engineers, and product managers—is essential to address issues and iterate on model improvements effectively. Navigating regulatory requirements and maintaining high ethical standards for bias and fairness can also be demanding but are critical aspects of the role.

What are the key skills and qualifications needed to thrive as a full time AI validation specialist?

To thrive as a Full Time AI Validation Specialist, you need a solid background in computer science, statistics, and machine learning principles, often supported by a relevant degree. Familiarity with AI development frameworks, data annotation tools, and testing platforms like TensorFlow, PyTorch, or MLflow is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you identify issues and collaborate with developers. These skills ensure robust model performance, compliance with standards, and the successful deployment of reliable AI systems.
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Full Time Ai Validation jobs near you
Infographic showing various Full Time Ai Validation job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

AI and Data Product Analyst

Enterprise Knowledge

Arlington, VA • On-site

$95K - $120K/yr

Full-time

Re-posted 4 days ago

Job description

Enterprise Knowledge (EK) is hiring a full-time AI and Data Product Analyst to join our growing Semantic Engineering and AI Practice. In this role, you will help our clients organize their enterprise data to make it ready for next-generation AI solutions. While experience with semantic technologies (taxonomies, ontologies, metadata) is a major plus, it is not required-we are looking for a sharp, analytical thinker with 2-5 years of experience who is eager to learn how data structure powers modern AI. You'll work with Fortune 500 and global clients to develop strategies, guide implementation, and apply agile principles to translate business needs into clear, actionable plans.
As with all of our positions, we seek independent thinkers with exceptional written and oral communication skills. This position demands a deep understanding of business strategy and development, experience with knowledge & data management technology solutions, business analysis, and consulting skills.
As an EKer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.
Responsibilities will include:
  • Support the design and implementation of enterprise knowledge, data management, and AI solutions
  • Assist in gathering and analyzing client requirements, business processes, and system landscapes
  • Contribute to the development of solution recommendations, documentation, and deliverables
  • Support workshops, stakeholder interviews, and working sessions to help define client needs and project goals
  • Assist in interpreting and documenting semantic models, taxonomies, ontologies, and related solutions
  • Collaborate with cross-functional teams to support project milestones and deliverables in an agile environment
  • Develop client-facing materials including presentations, reports, and training documentation
  • Participate in client meetings and internal discussions, contributing insights and taking detailed notes
  • Support testing, implementation, and validation of solutions to ensure alignment with client requirements
  • Contribute to internal initiatives, knowledge sharing, and practice development efforts
  • Continuously develop consulting, communication, and technical skills

Requirements
As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.
This hybrid role requires that you live within a comfortable, commutable distance of our Arlington, VA office and be willing to be on-site 3 days a week.
Required Skills and Experience:
  • 2 - 5 years of relevant experience (internships, academic projects, or early professional experience in consulting, data, or technology environments)
  • Bachelor's degree in a relevant field (e.g., Information Science, Data Analytics, Business, Computer Science, or similar)
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work both independently and collaboratively in a fast-paced environment
  • Strong attention to detail and organizational skills
  • Interest in knowledge management, data, AI, and semantic technologies

Preferred Skills and Experience:
  • Exposure to knowledge management, data management, or semantic technologies (through coursework, internships, or projects)
  • Familiarity with tools such as Excel, PowerPoint, JIRA, Confluence, or similar collaboration tools
  • Experience supporting research, data analysis, or business analysis efforts
  • Basic understanding of agile methodologies
  • Experience with taxonomy, ontology, or metadata concepts (academic or practical)
  • Interest in consulting, facilitation, or client-facing work

Salary Information:
EK considers a broad range of factors in considering employee salary, including a candidate's skills, experience, education, certifications, past successes, and qualifications. The salary range for this role is $95,000 to $120,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate's qualifications.
Data Privacy Notice:
Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.
We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice.
You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.
By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at careers@enterprise-knowledge.com.

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