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Internship Artificial Intelligence Trainer Jobs (NOW HIRING)

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... Serve as technical authority for model architecture, feature engineering, training pipelines, and ...

Nwacc

NWACC offers a full range of associate degrees, certificates and workforce training programs that ... Facilitate discussions on the ethical, social, and economic implications of artificial intelligence.

Verita AI

Artificial Intelligence Researcher

Miami, FL · On-site

Our platform makes the experience of contributing to AI training feel intuitive, rewarding, and ... We are looking for an Artificial Intelligence Researcher to help us research frontier AI models ...

NorthWest Arkansas Community College

NWACC offers a full range of associate degrees, certificates and workforce training programs that ... Facilitate discussions on the ethical, social, and economic implications of artificial intelligence.

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Internship Artificial Intelligence Trainer information

What is the difference between Internship Artificial Intelligence Trainer vs Data Science Intern?

AspectInternship Artificial Intelligence TrainerData Science Intern
Required CredentialsBasic knowledge of AI, programming, and machine learning conceptsBackground in statistics, programming, and data analysis
Work EnvironmentHands-on training, project-based, often in tech companies or AI labsData analysis, model building, and research in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, and consulting firms
Search & Comparison IntentUnderstanding roles related to AI training internshipsComparing data-focused internship roles

Internship Artificial Intelligence Trainers focus on developing and training AI models, often requiring basic AI and programming skills. Data Science Interns work on analyzing data, building models, and deriving insights. While both roles involve data and programming, AI trainers specialize in AI model development, whereas data science interns focus on data analysis and interpretation.

What kind of projects and tasks can I expect to work on as an internship artificial intelligence trainer?

As an Internship Artificial Intelligence Trainer, you will typically work on projects involving data annotation, model evaluation, and dataset preparation to help train and improve AI systems. Your daily responsibilities may include labeling data, identifying and correcting model errors, and collaborating with data scientists and engineers to refine training processes. You'll likely work within a team environment that values detail-oriented work and clear communication. This hands-on experience provides valuable exposure to the practical aspects of AI development and can serve as a strong foundation for a future career in machine learning or data science.

What is an internship artificial intelligence trainer?

An Internship Artificial Intelligence Trainer is typically a temporary position where interns assist in teaching or training artificial intelligence (AI) models. This role often involves tasks such as labeling data, evaluating AI outputs, and refining training datasets to improve the performance of machine learning algorithms. Interns may also help develop training materials, conduct model testing, and collaborate with data scientists or AI engineers. The internship provides hands-on experience in the AI field, making it ideal for students or recent graduates interested in technology and machine learning.

What are the key skills and qualifications needed to thrive as an internship artificial intelligence trainer, and why are they important?

To thrive as an Internship Artificial Intelligence Trainer, you need foundational knowledge in machine learning, data analysis, and programming, typically supported by coursework or a degree in computer science or a related field. Familiarity with Python, machine learning frameworks like TensorFlow or PyTorch, and data annotation tools is typically required. Strong communication, attention to detail, and a collaborative mindset help you effectively train AI models and work with team members. These skills ensure that AI systems are trained accurately and efficiently, contributing to successful AI project outcomes.
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Internship Artificial Intelligence Trainer jobs near you
Infographic showing various Internship Artificial Intelligence Trainer job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AVP, Artificial Intelligence

CreditOne

Las Vegas, NV • On-site

Full-time

Re-posted 8 days ago

Job description

Description
Position Summary
The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a regulated banking, credit card, and financial services environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people manager for AI Engineers, ensuring AI solutions drive fraud prevention, credit risk management, customer experience personalization, and operational efficiency while meeting regulatory, privacy, and model risk requirements.
Essential Job Functions
  • Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
  • Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
  • Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
  • Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
  • Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
  • Oversee model validation, explainability, bias testing, and audit readiness.
  • Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.

Position Requirements
Core AI Concepts and Technologies Required:
  • Machine Learning & Modeling
    • Supervised, unsupervised, reinforcement learning
    • Deep learning (CNNs, RNNs, Transformers)
    • Natural Language Processing (NLP) & LLMs
    • Generative AI (diffusion models, fine-tuning, RAG)
    • AI Engineering & MLOps

  • AI Engineering & MLOps
    • Model training, deployment, monitoring, and retraining
    • Feature stores, vector databases, and model registries
    • CI/CD pipelines for ML (MLOps)
    • GPU/accelerator compute architectures

  • Cloud & Infrastructure
    • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
    • Kubernetes, containerization, microservices
    • Data platforms (Databricks, Snowflake, Synapse)

  • Responsible AI & Governance
    • Model explainability (SHAP, LIME)
    • Fairness, bias detection, model risk controls
    • Privacy-preserving ML techniques (differential privacy, federated learning)

  • Programming & Tooling
    • Python, PyTorch, TensorFlow, JAX
    • LangChain, semantic search, vector embeddings
    • Prompt engineering & LLM orchestration frameworks

  • Excellent communication, problem-solving, and project management skills
  • Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Preferred
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5-8 + years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

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