
STEM Data Quality Specialist
17 hours ago
Embark on a challenging role as a Data Quality Specialist in STEM, where you will play a pivotal part in shaping the AI's knowledge base. As a specialist, your primary responsibility will be to create, review, and refine high-quality data with meticulous attention to detail.
Key Responsibilities
- Data Creation & Curation: Develop detailed solutions, explanations, and step-by-step derivations for complex STEM problems across various difficulty levels, adhering to established quality rubrics and pedagogical standards.
- AI Response Evaluation & Feedback: Rigorously evaluate AI-generated responses for correctness, coherence, and adherence to specific instructions, providing clear, constructive, and actionable feedback to enhance the model's reasoning and presentation.
- Subject Matter Expertise Application: Apply deep knowledge in Mathematics or a related field to assess complex problems, verify solutions, and develop alternative approaches, staying updated with advancements and common curriculum standards.
Required Skills & Qualifications
- Educational Background: A Master's degree in Mathematics or a closely related field from a premier institution is required; a Ph.D. is highly valued.
- Deep Subject Expertise: Demonstrable strong expertise across a wide range of topics within Mathematics, covering syllabi for competitive exams and major undergraduate curricula, with excellent conceptual understanding and problem-solving skills.
- Teaching/Content Creation Experience: Proven experience (7+ years) in teaching, tutoring, content writing, or academic research in Mathematics or a related field, with exceptional communication skills and the ability to explain complex concepts clearly.
Benefits
- Prioritize accuracy, attention to detail, and effective communication to drive results.
- Collaborate with experts to ensure consistency and quality in data creation and evaluation processes.
- Stay updated with industry trends and best practices in STEM education.
Others
- Foster a dynamic and inclusive team environment that values diversity, equity, and inclusion.
- Pursue continuous learning and professional growth through workshops, training programs, and mentorship opportunities.
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