AI/Software Learning Architect - Live Trainer

Datacamp; Northern (KY); Híbrido; USD 130 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible time off

401K with matching

Medical insurance

Dental insurance

Vision insurance

Life insurance

Paid sick time

Resumo da oferta

DataCamp is seeking a Learning Solutions Architect to deliver live training and create tailored learning content on the DataCamp platform for enterprise clients. You’ll train virtually and onsite, map to customer roles and outcomes, and collaborate with CS, Sales, Product, and Content to build blended learning paths that drive adoption and measurable skill uplift.

You should have broad AI engineering experience (ML, NLP, CV, DL) and at least 2+ years in technical training or related roles, with

Qualificações

• Loves to teach and can train in virtual or onsite classrooms.
• Broad AI Engineering experience: ML, NLP, CV, DL.
• 2+ years in technical training or similar instructor roles.
• Learns new tools quickly and tailors content to personas.
• Strong communicator who simplifies complex topics.
• Detail-oriented and process-driven; delivers substance.
• Flexible schedule to support time zones; occasional travel.

Responsabilidades

• Deliver engaging live training (virtual and onsite).
• Create tailored learning materials on the DataCamp platform.
• Scope blended learning paths with cross-functional teams.
• Publish reusable content to accelerate adoption and skill uplift.
• Collaborate with Customer Success, Sales, Product and Content.

Conhecimentos

Teaching

AI Engineering

Training experience

Content tailoring

Communication

Detail-oriented

Travel flexibility

Descrição da oferta de emprego

DataCamp is seeking a Learning Solutions Architect to deliver live training and create tailored learning content on the DataCamp platform for enterprise clients. You’ll train virtually and onsite, map to customer roles and outcomes, and collaborate with CS, Sales, Product, and Content to build blended learning paths that drive adoption and measurable skill uplift.

You should have broad AI engineering experience (ML, NLP, CV, DL) and at least 2+ years in technical training or related roles, with