Role Overview
Alchemy is seeking a qualified 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 Practitioner 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.
Engagement Details
Engagement Type: Contract / 1099 – Short-term engagement
Location: Remote
Estimated Item Count: ~78
Estimated Time to Completion: Approximately 1–2 hours
Assessment Window: Work must be completed within a defined access window.
Scope of Work
Complete a practitioner-level skills assessment used for validation and standard-setting purposes.
Complete a short post-assessment survey providing feedback on the assessment experience.
This role does not include:
• Teaching or facilitation responsibilities
• Instructional or curriculum design work
• Content authoring or SME review of materials
• Ongoing advisory or consulting responsibilities
Required Expertise
The Practitioner should be a current practitioner with applied, real-world experience related to the following knowledge areas and skills:
• Introduction to Artificial Intelligence — fundamental capabilities and limitations of AI, core concepts, terminology, and applications
• AI Architecture and Methods — basic AI architectures, how different methods function, and their implications
• Data and the Realities of Training AI — impact of data quality, scale, and bias on model performance; preparing and managing data for AI
• AI Implementation and Operations — moving AI from concept to production, implementation requirements, and operational management
• Real-World AI Considerations — ethics, fairness, transparency, and organizational impact when building and deploying AI solutions
• Foundational understanding of how AI generates new text and images (generative capabilities)
• Familiarity with common frameworks and models used in applied AI work
Ideal Candidate Profile
Active practitioner with hands-on experience in AI Foundations or closely related domains (early-practitioner level).
Practical, working knowledge of how the concepts listed above are applied in real professional settings.
Does not need to be an academic researcher or industry thought leader — applied experience is what matters.
Deliverables
Completed skills assessment within the defined access window.
Completed post-assessment survey.
Compensation
This is a flat-fee engagement, paid upon successful completion of the assessment and survey.