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Role Overview:
- Own assessment design for three types: Curriculum Mastery, Proficiency, and Placement Tests.
- Define constructs like fluency, pronunciation, grammar, and task achievement with clear rubrics.
- Shift from a vague goal to a concrete, scoreable system with the ML engineer.
Responsibilities:
- Define constructs and build rubric/blueprint layers for item writers and scoring models.
- Own validity and quality bar, signing off on content validity and auditing for bias.
- Run validity evidence plans with concurrent/criterion studies against external measures.
Collaboration:
- Partner tightly with Product Manager and ML Engineer on automated scoring and calibration.
- Keep construct and quality bar separate from model implementation.
- Ensure tight loop between construct definition, rubric, and shipped scoring model.
Speak
Speak is building a human-level AI-powered tutor for language learning, providing a conversation-first experience that lets learners speak, get feedback, and progress through lessons. The company has raised over $150M from investors like OpenAI and Accel, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.