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Ai Math Training Jobs in Virginia Beach, VA (NOW HIRING)

GenAI Solution Architect - VA

Norfolk, VA

$61 - $80.25/hr

... in developing and training AI/ML models. Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R Knowledge of ...

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

... in developing and training AI/ML models. Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R Knowledge of ...

Police Officer Exam Tutor

Norfolk, VA · Remote

$25 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... math backgrounds. Adapts instruction using practice examinations, memory training exercises, and ...

... AI and data-driven use cases. * Conduct data exploration, feature engineering, model training ... Bachelor's or Master's degree in Data Science, Computer Science, Data Engineering, Mathematics ...

Support the application of data, advanced analytics and AI in support of the IEA capability across ... University Degree in statistics, applied mathematics, computer science, economics, operations ...

Support the application of data, advanced analytics and AI in support of the IEA capability across ... University Degree in statistics, applied mathematics, computer science, economics, operations ...

Data Scientist

Hampton, VA · On-site

$140 - $190/hr

... training on the practical application of AI/ML frameworks to include those unique to AFSCI. The ... build mathematical models and present findings. What You'll Need (Required: * Current TS/SCI ...

... manpower/training, and financial management). AI-enabled approaches are a desired element of the ... Bachelor's degree in computer science, information systems management, mathematics, physics ...

Analyst, Senior (Readiness)

Norfolk, VA · On-site

$94.43 - $137.94/hr

... manpower/training, and financial management). AI-enabled approaches are a desired element of the ... Bachelor's degree in computer science, information systems management, mathematics, physics ...

Showing results 21-40

Ai Math Training information

See Virginia Beach, VA salary details

$21.8K

$52.5K

$75K

How much do ai math training jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai math training in Virginia Beach, VA is $52,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $58,400.00 per year, depending on experience, location, and employer.

What is an ai math training?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

What are the key skills and qualifications needed to thrive in the ai math training position, and why are they important?

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What are some common challenges faced in an ai math training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

What are popular job titles related to Ai Math Training jobs in Virginia Beach, VA?

For Ai Math Training jobs in Virginia Beach, VA, the most frequently searched job titles are:

What job categories do people searching Ai Math Training jobs in Virginia Beach, VA look for?

The top searched job categories for Ai Math Training jobs in Virginia Beach, VA are:

Infographic showing various Ai Math Training job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $52,544 per year, or $25.3 per hour.

GenAI Solution Architect - VA

Photon

Norfolk, VA

$61 - $80.25/hr

Full-time

Re-posted 3 days ago


Job description

We are seeking an AI Engineer to work on a Generative AI initiative to join our team. The ideal candidate will have a deep understanding of language models, text-to-image, and other generative AI models. They must possess knowledge of Python, and machine learning frameworks. 

Responsibilities 

Develop and implement generative AI models, including LLMs, text-to-image and generative AI models. 

Train and evaluate models using large datasets. 

Troubleshoot and debug code to ensure high-quality results. 

Keep up to date with the latest developments in the field of generative AI and apply relevant new knowledge to the company's AI projects. 

Deep understanding of how to scale models and their limitations. Ability to quickly identify opportunities for model improvement 

Use predictive modeling to enhance and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. 

Collaborate with different teams to implement models and monitor outcomes. 

Develop processes and tools to monitor and analyze model performance and data accuracy. 

Lead all data experiments under the iterative testing framework. 

Engage with stakeholders to understand business challenges and develop data-driven solutions. 

Conduct advanced data analysis and design highly complex algorithmic models. 

Communicate complex quantitative analysis in a clear, precise, and actionable manner. 
 

Requirements 

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 

2+ years of experience in developing and training AI/ML models. 

Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R 

Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP. 

Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS 

Experience with training and evaluating large-scale models on high-performance computing clusters. 

Strong understanding of deep learning, natural language processing, and computer vision. 

Excellent problem-solving skills and ability to work independently and in a team environment. 

Preferred Qualifications: 

Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in AI/ML. 

Demonstrated experience in developing and training AI models  

Strong knowledge of deep learning, natural language processing, and computer vision. 

Experience with scaling up generative models and deploying them in production environments. 

Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.Â