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Artificial Intelligence Privacy Intern information

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How much do artificial intelligence privacy intern jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for artificial intelligence privacy intern in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does an Artificial Intelligence Privacy Intern do?

An Artificial Intelligence Privacy Intern assists organizations in ensuring that AI systems comply with privacy laws and ethical guidelines. Their tasks often include analyzing data handling practices, conducting privacy impact assessments, and helping to develop strategies to protect user data in AI projects. They may also support documenting compliance efforts, researching privacy regulations, and collaborating with cross-functional teams. This role provides valuable hands-on experience at the intersection of AI technology and data privacy.

What types of projects and responsibilities can I expect as an Artificial Intelligence Privacy Intern?

As an Artificial Intelligence Privacy Intern, you'll typically work on projects that assess and improve the privacy aspects of AI systems, such as conducting privacy impact assessments, analyzing data handling processes, and supporting compliance with evolving privacy regulations. You'll collaborate closely with AI engineers, data scientists, and legal teams to help identify potential privacy risks and recommend mitigation strategies. This hands-on experience will not only deepen your understanding of AI technologies and privacy frameworks but also prepare you for future roles in privacy engineering or AI ethics.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Privacy Intern, and why are they important?

To thrive as an Artificial Intelligence Privacy Intern, you need a solid understanding of data privacy principles, AI and machine learning concepts, and preferably coursework or a background in computer science, data science, or law. Familiarity with privacy compliance frameworks (such as GDPR or CCPA), data protection tools, and programming languages like Python is often required. Strong analytical skills, attention to detail, and effective communication help you navigate complex privacy issues and collaborate with technical and legal teams. These competencies ensure that AI systems are developed and deployed responsibly, safeguarding user data and maintaining regulatory compliance.
Infographic showing various Artificial Intelligence Privacy Intern job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 64% Full Time, 31% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.
AVP, Artificial Intelligence

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV

Full-time

Posted 12 days ago

Job 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 RequirementsCore 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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