Contract Practitioner – AI Skills Assessment Validation

Nectar Inc

1d•$50 - $50•Remote

About The Position

Alchemy is seeking qualified Practitioners and Early Practitioners with applied, real-world experience in Artificial Intelligence to participate in a skills assessment validation engagement. This is a short-term, contract, remote engagement in which the practitioner will complete one or more practitioner-level skills assessments aligned to the AI content area, plus a brief post-assessment survey for each. This role does not involve teaching, instructional design, content creation, or ongoing advisory responsibilities.

Requirements

Current professionals with applied, real-world experience related to one or more of the following knowledge areas and skills within the AI content area:
Apply ethical frameworks to the design, deployment, and evaluation of AI systems
Identify and mitigate bias, fairness, and accountability concerns in AI workflows
Design and refine effective prompts for generative AI models
Apply prompt engineering best practices for performance, reliability, and safety
Work with Large Language Models (LLMs) including selection, fine-tuning, and prompt strategies
Apply reinforcement learning techniques to real-world decision-making problems
Use Explainable AI (XAI) tools and techniques to interpret model behavior and outputs
Train, evaluate, and tune machine learning models across common workflows
Understand the broader AI landscape including supervised, unsupervised, and generative approaches
Active practitioner with hands-on experience in one or more domains within the AI content area.
Practical, working knowledge of how the concepts listed above are applied in real professional settings.
Applied experience is what matters.

Nice To Haves

Does not need to be an academic researcher or industry thought leader

Responsibilities

For each assessment selected, 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.