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Director Artificial Intelligence Trainer information

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$38K

$91.2K

$161.3K

How much do director artificial intelligence trainer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director artificial intelligence trainer in Reston, VA is $91,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $104,000.00 per year, depending on experience, location, and employer.

What does a director artificial intelligence trainer do?

A Director Artificial Intelligence Trainer oversees the development, implementation, and management of training programs for AI systems and teams. They are responsible for designing strategies to improve machine learning models, ensuring best practices in data handling, and leading teams of AI trainers and engineers. Additionally, they collaborate with other departments to align AI initiatives with organizational goals and keep up with the latest advancements in artificial intelligence. Their leadership ensures that AI solutions are accurate, ethical, and effective in real-world applications.

What are the key skills and qualifications needed to thrive as a director artificial intelligence trainer?

To thrive as a Director Artificial Intelligence Trainer, you need deep expertise in AI/ML concepts, strong leadership experience, and an advanced degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and experience designing AI training programs are typically required. Exceptional communication, mentoring, and strategic thinking skills help you effectively lead teams and communicate complex ideas to diverse audiences. These competencies ensure the effective development of AI talent, alignment with organizational strategy, and advancement of cutting-edge AI initiatives.

What are the primary challenges faced by a director artificial intelligence trainer when managing a team of AI trainers and researchers?

A Director Artificial Intelligence Trainer often navigates challenges such as aligning diverse team members with rapidly evolving AI technologies, ensuring consistent training standards, and integrating new research findings into practical training modules. Additionally, they must foster collaboration between data scientists, engineers, and instructional designers, balancing technical accuracy with effective learning strategies. Staying updated with industry best practices while scaling training programs to meet organizational needs is also a significant aspect of the role.

What is the difference between Director Artificial Intelligence Trainer vs Data Scientist?

AspectDirector Artificial Intelligence TrainerData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in AI toolsDegree in Data Science, Statistics, or Computer Science; certifications in data analysis and programming
Work EnvironmentLeads AI training teams, collaborates with AI developers, and oversees training programsAnalyzes data, develops models, and provides insights across departments
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech firms, consulting
Common Search & Comparison IntentUnderstanding leadership roles in AI trainingData analysis and modeling skills

The main difference is that the Director Artificial Intelligence Trainer focuses on leading AI training initiatives and managing teams, while a Data Scientist primarily analyzes data and develops models. Both roles require advanced technical skills and are vital in AI and data-driven industries, but their responsibilities and focus areas differ significantly.

What are the most commonly searched types of Artificial Intelligence Trainer jobs in Reston, VA?

The most popular types of Artificial Intelligence Trainer jobs in Reston, VA are:

What are popular job titles related to Director Artificial Intelligence Trainer jobs in Reston, VA?

For Director Artificial Intelligence Trainer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Director Artificial Intelligence Trainer jobs in Reston, VA look for?

The top searched job categories for Director Artificial Intelligence Trainer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Director Artificial Intelligence Trainer jobs?

Cities near Reston, VA with the most Director Artificial Intelligence Trainer job openings:

Director Artificial Intelligence Trainer jobs near you

Artificial Intelligence / Machine Learning Developer

Unissant

Ashburn, VA • On-site

$127K - $190K/yr

Full-time

Re-posted 15 hours ago

Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at .
We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.
Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.
Essential Duties and Responsibilities:
  • Drive a big data approach to execute government requirements to manage, prepare, analyze, and enrich image, biometric, and related mission data to gather new insights.
  • As the AI/ML Developer, work as part of a team to provide consultative, architectural, program, and engineering support for a federal customer.
  • This is a client-facing position working on-site as per the requirements established by the DHS customer.
  • Develop, train, evaluate, fine-tune, and deploy advanced AI/ML, computer vision, deep-learning, and GenAI models.
  • Design and implement innovative AI solutions to address complex business challenges using techniques such as computer vision, image analysis, image classification, object detection, image segmentation, image matching, facial recognition, facial verification, biometric analysis, natural language processing, and large language models.
  • Prepare image, biometric, and related datasets for model development, including data extraction, cleaning, normalization, annotation, labeling, augmentation, feature engineering, data balancing, and training/validation/test-set construction.
  • Develop, train, evaluate, and improve image-analysis and computer-vision models used for biometric, identity-resolution, image-quality, matching, classification, detection, segmentation, or related mission capabilities.
  • Optimize model performance, ensuring accuracy, efficiency, scalability, bias awareness, and operational reliability.
  • Evaluate model performance using appropriate measures, including precision, recall, F1 score, confusion matrices, ROC-AUC, mean average precision, false-match rates, false-non-match rates, false acceptance rates, false rejection rates, latency, throughput, and related performance metrics.
  • Develop and maintain user-friendly AI applications and interfaces, including image-analysis tools, analytic dashboards, chatbots, virtual assistants, and generative content tools.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Stay up to date with the latest advancements in AI/ML and emerging technologies, such as computer vision, biometrics, generative AI, reinforcement learning, and secure AI deployment.
  • Conduct research and experiments to explore new AI techniques and applications, including image-model training, computer-vision model evaluation, prompt engineering, advanced RAG, image retrieval, multimodal models, and fine-tuning LLMs.
  • Ensure compliance with data privacy, biometric-data handling, security, and governance requirements, especially when working with sensitive data, images, biometric information, and generative-AI outputs.
  • This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.

Work Experience and Job Skills:
  • Three (3) or more years of experience in the Information Technology field focusing on AI/ML engineering projects, computer vision, image analysis, biometric technologies, MLOps, DevSecOps, and technical architecture.
  • Demonstrated hands-on experience developing, training, fine-tuning, evaluating, or deploying computer-vision, image-analysis, deep-learning, or biometric AI/ML models.
  • Experience working with image-analysis use cases such as image classification, object detection, image segmentation, image matching, face detection, facial recognition, facial verification, image quality assessment, liveness detection, identity verification, fingerprint analysis, iris recognition, or related technologies.
  • Familiarity with biometric systems, biometric matching, identity resolution, facial recognition, fingerprint, iris, liveness detection, or image-quality analysis is required.
  • Proficiency in developing, deploying, and fine-tuning generative-AI models, including large language models (LLMs).
  • Strong proficiency in programming languages such as Python, R, Java, and C/C++.
  • Experience with machine-learning, deep-learning, computer-vision, and generative-AI frameworks.
  • Proficiency in ML modeling frameworks and libraries such as scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, YOLO, Detectron, Hugging Face, or equivalent platforms.
  • Experience with natural-language-processing techniques, including text classification and language generation.
  • Experience developing and evaluating image-analysis models using image transformations, feature extraction, embeddings, image-data augmentation, annotation/labeling, and model-performance metrics.
  • Solid understanding of any cloud platform, such as AWS, Azure, or GCP, and deployment strategies for AI/ML, image-analysis, and computer-vision workloads.
  • Solid understanding of MLOps and DevSecOps practices for deploying AI/ML, computer-vision, and image-analysis models and applications.
  • Proficiency in front-end development technologies such as React, Angular, Vue.js, HTML, CSS, and JavaScript.
  • Knowledge of database systems, such as SQL, NoSQL, vector databases, graph databases, and data-warehousing concepts.
  • An understanding and competency surrounding data storage, access, ingestion, and loading.
  • Databases: PostgreSQL, NoSQL, vector databases, graph databases, or comparable technologies.
  • ETL/ELT concepts.
  • Data warehouse concepts.
  • SQL.
  • Competency in data exploration, analytics, data quality, image-data processing, and feature engineering.
  • Python experience with Pandas, NumPy, Polars, PySpark, OpenCV, Pillow, scikit-image, or comparable data and image-processing tools.
  • Experience with Plotly, Matplotlib, or equivalent data-visualization tools.
  • Knowledge of data encoding, normalization, regularization, image preprocessing, data augmentation, and related data-preparation methods.
  • Understanding of deep-learning concepts and architectures such as CNNs, RNNs, LSTMs, GANs, transformers, vision transformers, and multimodal models, with the ability to apply them to real-world image, biometric, and mission datasets.
  • Proficiency in NLP tools such as SpaCy, Thinc, Gensim, or comparable frameworks.
  • Knowledge of GenAI tools, including Hugging Face models, OpenAI models, Grok, or comparable platforms.
  • General competency in various ML disciplines, including image classification, object detection, segmentation, facial recognition, biometric matching, forecasting, transformers, generative AI, anomaly detection, deep learning, and pattern recognition.
  • Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
  • Adaptability to changing priorities and a willingness to learn and grow are essential.
  • Excellent organizational skills and the ability to effectively manage concurrent projects.
  • Comprehensive problem-solving skills with exceptional attention to detail.
  • Ability to learn, evolve, think creatively, and work proactively.
  • Ability to work under pressure at times and to be extremely flexible with changing priorities.
  • Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, with minimal guidance.

Education:
Bachelor's Degree in Computer Science, Information Technology Management, Engineering, Data Science, Artificial Intelligence, Computer Vision, Mathematics, Statistics, Physics, or another related technical field is preferred. Alternative work-related experience, military duty, and/or specialized or higher education may be substituted.
Certificates, Licenses and Registrations:
This federal program requires candidates to be United States Citizens.
Must have an active DHS clearance.
Any related systems engineering, computer vision, biometrics, data science, machine learning, cloud, or technical certifications are desired.
AWS/Azure/GCP AI/ML certifications are preferred but not required.
Communication Skills:
Must have excellent written and verbal communication skills.
Ability to convey technical information-including model performance, image-analysis results, biometric matching limitations, and AI/ML solution tradeoffs-to non-technical individuals.
Demonstrated experience communicating effectively across internal and external organizations.
Must work well in a matrixed team environment.
Travel:
On-site in Ashburn, VA.
Environmental Requirements:
Mainly sedentary; in an office environment.
May be required to lift up to ten (10) pounds.
Flexible in working extended hours.
The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions.
Please note: Candidate(s) will be required to go through pre-employment screening.
Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)

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