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Training Ai Models Jobs in Virginia (NOW HIRING)

Senior AI Software Engineer

Chantilly, VA · On-site

$130K - $170K/yr

Dark Wolf is seeking a Senior AI Software Engineer to design, build, and integrate AI/ML solutions ... End-to-end knowledge of model training, dataset curation, and data pipeline design. * Programming ...

New

Senior AI Software Engineer

Herndon, VA · On-site

$130K - $170K/yr

Dark Wolf is seeking a Senior AI Software Engineer to design, build, and integrate AI/ML solutions ... End-to-end knowledge of model training, dataset curation, and data pipeline design. * Programming ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

Showing results 21-40

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 cities in Virginia are hiring for Training Ai Models jobs?

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

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.

Software Engineer (SME) - TS/SCI with Polygraph Required

LMI

Mclean, VA

$104K - $183K/yr

Full-time

Re-posted 2 days ago


Job description

Overview

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Position is on the research staff of a government consulting organization and will be based out of Reston, VA. This position provides verified mathematical and scientific techniques programmatically to answer questions prioritized by the Sponsor.

Responsibilities

The Contractor Team shall train machine learning models in a variety of ways, to meet a variety of functions, including but not limited to: Synthesis of code to be used for automated webscrapes; Automation of other functions related to webscrapes, including detection and "self-healing" of scrapes; Automated visual detection of object types (like types of vehicles, license plates, etc) within video data; Automated review and analysis of terms of service of companies; Automating open source collection of data that could be used to train Sponsor-owned AI/ML systems and models. The Contractor Team shall provide Model training based on training data that may need to be acquired from other components. The Contractor Team shall create complete AI-based systems, which may include multiple inputs, models, human-review processes and outputs ETL processes and databases. 

QualificationsRequired
  • 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.

#LI-SH1

Target salary range: $104,040 - $183,600. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job LocationsUS-VA-McLeanEmployment Type: FULL_TIME