AI Foundations - Early Practitioner - Remote

Overview

Ease Learning is seeking a qualified early practitioner with applied, real-world experience in AI Foundations to participate in a skills assessment validation engagement. This is a short-term, contract, remote engagement in which the SME will complete a practitioner-level skills assessment and a brief post-assessment survey. This role does not involve teaching, instructional design, content creation, or ongoing advisory responsibilities.

In Short

• Contract role for a short-term engagement.
• Remote work opportunity.
• Involves completing a skills assessment.
• Participants must have real-world experience in AI Foundations.
• Assessment includes feedback through a post-assessment survey.
• Does not include teaching or advisory responsibilities.
• Work to be completed within a defined access window.
• Estimated time to completion is approximately 1–2 hours.
• Compensation is a flat fee paid upon completion.
• Minimum performance expectation is to score above 50% on the assessment.

Requirements

• Define artificial intelligence and describe its core concepts and capabilities.
• Explain how AI systems learn from data.
• Describe how generative AI produces new content.
• Understand architectures that enable AI systems.
• Identify common AI frameworks and tools.
• Explain the role of data quality in training AI models.
• Describe the impact of training data on AI model performance.
• Understand operational aspects of deploying AI systems.
• Explain foundational concepts of neural networks.
• Describe NLP and computer vision fundamentals.
• Identify ethical considerations in AI.
• Understand narrow vs. general AI concepts.
• Describe real-world applications of AI.
• Evaluate AI solutions for business use cases.

Benefits

• Opportunity to contribute to AI assessment validation.
• Flexible remote working environment.
• Short-term engagement with defined deliverables.
• Compensation upon successful completion of tasks.