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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 ...

Stefanini

Artificial Intelligence Engineer

Dearborn, MI · Hybrid

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please ... training pipelines, and prompt frameworks in sufficient detail to enable internal replication ...

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How much do artificial intelligence trainer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for artificial intelligence trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is an Artificial Intelligence Trainer job?

An Artificial Intelligence Trainer is responsible for training AI models by curating, labeling, and refining datasets to improve machine learning algorithms. They work closely with data scientists and engineers to fine-tune AI performance, ensuring accuracy and efficiency. This role involves tasks such as annotating data, testing AI outputs, and iterating training processes based on results. AI Trainers are essential in making AI systems more intelligent, reliable, and aligned with real-world applications.

What are the typical daily responsibilities of an Artificial Intelligence Trainer?

Artificial Intelligence Trainers are responsible for preparing and curating high-quality datasets, labeling data, and overseeing the training process for AI models. On a typical day, they may analyze outputs to validate model performance, collaborate with data scientists and engineers to refine model accuracy, and document model iteration processes. Trainers also provide feedback on data quality and help develop guidelines to improve consistency and accuracy across datasets. Regular communication with cross-functional teams is key to ensuring project milestones are met and the AI solutions being developed are both robust and reliable.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Trainer position, and why are they important?

To thrive as an Artificial Intelligence Trainer, you need a solid understanding of machine learning concepts, data annotation processes, and experience with relevant programming languages such as Python. Familiarity with AI training tools, annotation platforms, and certifications in data science or machine learning are commonly required. Outstanding attention to detail, strong communication skills, and collaborative teamwork abilities help individuals excel in this position. These skills and qualities ensure that AI models are effectively trained, refined, and deployed to meet organizational and project objectives.

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Artificial Intelligence Trainer jobs near you
Infographic showing various Artificial Intelligence Trainer job openings in the United States as of May 2026, with employment types broken down into 69% Full Time, 25% Part Time, and 6% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
AVP, Artificial Intelligence

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV

Full-time

Posted 11 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.