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Full Time Ai Validation Jobs (NOW HIRING)

... pay for this full-time position is $131,636.00 - $165,000.00. For additional pay & benefits ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

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Full Time Ai Validation information

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$22

$51

$78

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

As of Jun 12, 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 are Full Time AI Validation jobs?

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, and why are they important?

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.
More about Full Time Ai Validation jobs
What cities are hiring for Full Time Ai Validation jobs? Cities with the most Full Time Ai Validation job openings:
What are the most commonly searched types of Ai Validation jobs? The most popular types of Ai Validation jobs are:
What states have the most Full Time Ai Validation jobs? States with the most job openings for Full Time Ai Validation jobs include:
Infographic showing various Full Time Ai Validation job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.
AI, Data & Innovation Manager

AI, Data & Innovation Manager

WWC Engineering

Sheridan, WY • Hybrid

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

Join WWC Engineering as a Full-Time AI, Data & Innovation Manager and be at the forefront of technological transformation in engineering. You’ll collaborate with a dedicated team in a dynamic environment that prioritizes problem-solving and integrity. Enjoy the flexibility of a hybrid work schedule, allowing you to maintain a healthy work-life balance while making significant contributions to our mission.

The salary for this exciting role ranges from $100,000 to $125,000 annually, reflecting the value we place on expertise and innovation. You will receive great benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Health Savings Account, Flexible Spending Account, Competitive Salary, 8 hours for Community Service, 401(k) Safe Harbor contribution, Performance Bonus Program, and Flex Program which pays for any hours worked over 8 in a day. Take this opportunity to drive real change in the engineering sector with our corporate team.  

WWC Engineering: What drives us

Solving Problems and Delivering Value

Day to day as an AI, Data & Innovation Manager

As the AI, Data & Innovation Manager at WWC Engineering, you will spearhead the enterprise strategy for artificial intelligence, data governance, and advanced analytics, driving business enablement across the organization. Your focus will not be on deep technical model development but rather on ensuring that WWC comprehensively understands its information assets and governs them with integrity. Your leadership in this role will be pivotal in shaping the way WWC leverages data and innovation to meet evolving customer needs and achieve excellence in the engineering industry.

Are you the AI, Data & Innovation Manager we're looking for?

To excel as the AI, Data & Innovation Manager, candidates should possess an associate or bachelor’s degree in technology, data, business, or a related field, along with 8-10 years of experience in technology, innovation, or data strategy roles. A strong understanding of business processes, data flows, and the technology utilized in engineering, survey, and environmental consulting is essential for this position. Successful candidates will have a proven track record in directing data governance initiatives and facilitating AI adoption, as well as experience with research and development or innovation intake programs.  The role will interface with the IT Manager to ensure that data governance and AI initiatives align with infrastructure, security and technology lifecycle strategies.

Your ability to align technology with business objectives will play a crucial role in driving WWC’s strategic vision forward.

Knowledge and skills required for the position are:

  • Associate or bachelor’s degree in technology, data business or related field; equivalent experience accepted 
  • 8-10 years of experience in technology innovation or data strategy roles
  • Strong understanding of business processes data flows and technology used in engineering survey and environmental consulting
  • Experience directing data governance AI adoption, R& D/innovation intake or related programs.

This position will involve some travel (using WWC vehicles) and thus this offer is made on the condition that you have a valid driver's license and that you are able to be covered by WWC's vehicle insurance. This offer is also contingent upon passing a pre-employment drug & alcohol test. Please note that this is an offer of at-will employment and does not constitute an employment contract between us.