SLM (Small Language Model) Specialist – Math (K–12)

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Company:

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ROLE OVERVIEW:

Prompt & Small Language Model (SLM) Specialist

prompt engineering

KEY RESPONSIBILITIES:

Prompt Engineering & SLM Optimization

• Create, refine, and test

  prompts

  to generate K–12 math items, explanations, solutions, and assessments.
• Optimize prompts for accuracy, grade-level alignment, and pedagogical correctness.
• Work with SLM/LMM tools to improve clarity, reasoning, and bias reduction in math outputs.

AI Output Review & Validation

• Evaluate AI-generated math content for accuracy, curriculum alignment, difficulty level, and clarity.
• Fix errors in AI-generated questions, explanations, diagrams, and step-by-step solutions.
• Ensure content supports conceptual understanding and multiple representation methods.

Curriculum & Standards Alignment

• Ensure AI-generated content aligns with

  Common Core

  , state standards, and K–12 math learning progressions.
• Tag items by skill, cognitive level, and standard.

Workflow & Collaboration

• Work with editors, instructional designers, and product teams to integrate AI outputs into projects.
• Provide feedback to the AI team on prompt performance and model behavior.
• Help design scalable prompt libraries, templates, and math reasoning patterns for internal use.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in

  Mathematics, Math Education, STEM, or related field

  .
• Strong knowledge of

  K–12 math concepts

  (arithmetic, algebra, geometry, statistics, calculus foundations).
• Experience with

  AI/SLM tools

  , prompt crafting, or AI-assisted content creation.
• Familiarity with US curriculum frameworks (Common Core, State Standards).
• Ability to validate mathematical reasoning and catch conceptual or procedural errors.
• Strong written communication and ability to write clean, structured prompts.

PREFERRED SKILLS:

• Experience in content development or teaching K–12 math.
• Understanding of generative AI behavior, hallucination patterns, and prompt-testing methods.
• Experience with LMS, digital content, or EdTech tools.
• Ability to create structured datasets or prompt libraries for math items.

Share CV on manal.amir@qbslearning.com