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AI Specialist
3 weeks ago
We are seeking a knowledgeable and detail-oriented professional to develop high-quality assessment items for a Generative AI Foundations certification course. The ideal candidate will work collaboratively with a cross-functional team to create clear, standards-aligned assessment items that help students master key generative AI concepts and practices.
The successful candidate should possess expertise in the following areas: artificial intelligence, machine learning, generative AI, large language models (LLMs) and their applications, prompt engineering, and effective AI interactions. They should also have knowledge of ethical and responsible AI use, generative AI in workplace and industry scenarios, and limitations, bias, and risks of AI systems.
Key Responsibilities:
- Develop accurate, relevant, and high-quality assessment items aligned with the certification's learning objectives.
- Ensure assessment items reflect the appropriate Bloom's Taxonomy level and Depth of Knowledge (DOK) standards.
Required Skills and Qualifications:
- Familiarity with artificial intelligence concepts, generative AI tools, and applications.
- Prior experience in assessment design, test development, or curriculum development.
- Ability to explain complex technical concepts in a clear and accessible manner for diverse learners.
- Strong attention to detail and accuracy.
- Bachelor's degree or equivalent experience in a relevant field (e.g., computer science, data science, AI/ML, education).
Preferred Skills and Qualifications:
- Hands-on experience using generative AI platforms and tools (e.g., ChatGPT, DALL·E, Bard, Claude, or similar).
- Experience working within the K–12 education sector or with adult/workforce training, particularly in curriculum design or content review.
- Familiarity with instructional design principles, Bloom's Taxonomy, and competency-based assessments.
- Certification in Generative AI Foundations or another AI/ML-related credential.
Skills and Attributes:
- Strong analytical and conceptual thinking skills to connect AI theory with practical applications.
- Excellent writing and editing abilities for technical and non-technical audiences.
- Creative problem-solving and instructional innovation.
- Effective collaboration and communication with cross-functional teams.
