Contract Practitioner – AI Foundations

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.