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Training Ai Models Jobs in Washington (NOW HIRING)

Bespoke Technologies, Inc

AI Developer

Chantilly, VA · On-site

Demonstrated experience training AI models, as well as in integrating pre-trained models into dataflows and software architectures. Desired Skills: * Demonstrated experience implementing secure AI ...

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 ...

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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.

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

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

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Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Washington as of August 2026, with employment types broken down into 64% Full Time, 19% Part Time, and 17% Contract. Highlights an 46% In-person, and 54% Remote job distribution.

AI Developer

Chantilly, VA • On-site

Bespoke Technologies, Inc
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Bespoke Technologies, Incexternal

Full-time

Re-posted 3 days ago

Job description

BT 404 - AI Developer
Skill Level: Subject Matter Expert
Location: Chantilly, VA (fully on-site, no remote option)
**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**
Required Skills:
  • Demonstrated experience with the ability to understand and automate customer workflows and business processes with AI solutions
  • Demonstrated experience in data structures, data modeling, and software architecture
  • Demonstrated in-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, Tensorflow, etc.
  • Demonstrated experience with extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms
  • Demonstrated experience in AI/ML specific programming languages, such as Python, Jav, C++, Conda, etc.
  • Demonstrated experience training AI models, as well as in integrating pre-trained models into dataflows and software architectures.

Desired Skills:
  • Demonstrated experience implementing secure AI solutions in the Intelligence Community
  • Demonstrated experience working with highly sensitive data sets
  • Demonstrated experience in leading AI/ML initiatives
  • Demonstrated experience and in-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline
  • Demonstrated experience and in-depth knowledge in implementing solutions in Amazon Web Services
  • Demonstrated experience with very strong problem solving and critical thinking skills
  • Demonstrated experience performing in a collaborative team environment.

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