ZipRecruiter

Log In

1

Training Ai Models Jobs in Virginia (NOW HIRING)

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

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 ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

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 ...

J5 Consulting

AI/ML Solutions Engineer

Chantilly, VA · On-site

$84K - $112K/yr

Hands-on experience in training AI models and integrating pre-trained models into dataflows and software architectures. Highly Desired Skills and Demonstrated Experience: * Experience implementing ...

J5 Consulting

AI/ML Solutions Engineer

Chantilly, VA · On-site

$84K - $112K/yr

Hands-on experience in training AI models and integrating pre-trained models into dataflows and software architectures. Highly Desired Skills and Demonstrated Experience: * Experience implementing ...

Luck Stone

AI Engineer

Manakin Sabot, VA · On-site

$152K/yr

Experience with automating AI model training, deployment pipelines, and optimization processes * Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement ...

Luck Stone Corporation

AI Engineer

VA · On-site

$152K/yr

Experience with automating AI model training, deployment pipelines, and optimization processes * Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement ...

next page

Showing results 1-20

All JobsTraining Ai Models JobsTraining Ai Models Jobs in Virginia

Training Ai Models information

What is a training AI model?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What are common challenges faced when training AI models, and how are they addressed?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

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

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

Can you get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. Compensation varies based on experience, location, and the complexity of the tasks, and often involves working with labeled datasets, coding, and understanding AI frameworks.

How to become a training AI models?

To become a training AI models professional, develop strong skills in programming languages like Python, understand machine learning algorithms, and gain experience with data preprocessing and model evaluation. Familiarity with frameworks such as TensorFlow or PyTorch and a background in computer science or data science are also important. Certifications or courses in AI and machine learning can enhance your qualifications.

What job trains AI models?

A job that trains AI models is typically called an AI/ML engineer or data scientist. These roles involve developing, testing, and refining machine learning algorithms using programming skills in languages like Python and tools such as TensorFlow or PyTorch. They often require knowledge of data preprocessing, model evaluation, and experience with large datasets.

What are the most commonly searched types of Training Ai Models jobs in Virginia?

The most popular types of Training Ai Models jobs in Virginia are:

What are popular job titles related to Training Ai Models jobs in Virginia?

For Training Ai Models jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Training Ai Models jobs in Virginia look for?

The top searched job categories for Training Ai Models jobs in Virginia are:

What cities in Virginia are hiring for Training Ai Models jobs?

Cities in Virginia with the most Training Ai Models job openings:

Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Virginia as of August 2026, with employment types broken down into 55% Full Time, 19% Part Time, and 26% Contract. Highlights an 65% In-person, and 35% Remote job distribution.

GenAI Solution Architect - VA

Photon

Norfolk, VA • On-site

$61 - $80.25/hr

Full-time

Re-posted 2 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.

Apply