STEM Content Reviewer

Join a team of dedicated professionals as a STEM Content Reviewer

Job Overview

As a key contributor to our AI's knowledge base, you will play a crucial role in shaping its accuracy and effectiveness. Working closely with your team and the lead, your primary responsibility will be to create, review, and refine high-quality content. This involves evaluating AI responses for correctness, coherence, and pedagogical soundness, ensuring they are insightful, well-structured, and tailored to the learner's level.

Profile of the Ideal Candidate

I. Essential Responsibilities

Data Creation & Curation:

• Create and refine high-quality data, including detailed solutions, explanations, and step-by-step derivations for STEM problems across various difficulty levels.
• Ensure all content adheres to established quality rubrics, style guides, and pedagogical standards, focusing on accuracy, clarity, and effectiveness.
• Integrate subject matter expertise to provide comprehensive and insightful explanations that anticipate common student misconceptions.

AI Response Evaluation & Feedback:

• Rigorously evaluate AI-generated responses for correctness, coherence, pedagogical soundness, and adherence to specific instructions.
• Provide clear, constructive, and actionable feedback to the AI model, identifying errors, inaccuracies, or areas for improvement in its reasoning and presentation.
• Participate in creating 'ground truth' solutions and evaluation datasets to benchmark AI model performance.

Subject Matter Expertise Application:

• Apply deep knowledge in Mathematics, Physics, Chemistry, Biology, Coding, or Finance to assess complex problems, verify solutions, and develop alternative approaches.
• Stay updated with advancements and common curriculum standards in your respective STEM field to ensure content relevance and accuracy.

Collaboration & Workflow Adherence:

• Work closely with the lead and fellow reviewers to ensure consistency in data creation and evaluation processes.
• Adhere to established workflows, deadlines, and project requirements set by the lead.
• Communicate clearly about challenges encountered in data creation or AI evaluation to facilitate timely resolution.

II. Required Qualifications & Experience

• Educational Background: A Master's degree (M.Sc./M.Tech) in Mathematics, Physics, Chemistry, Biology, Coding, or Finance from a premier institution is required. A Ph.D. is a plus.
• Deep Subject Expertise: Demonstrable, strong expertise across a wide range of topics within your subject, covering syllabi for competitive exams and major undergraduate curricula.
• Teaching/Content Creation Experience: Proven experience (7+ years) in teaching, tutoring, content writing, or academic research in your specialized STEM field.
• Exceptional Communication Skills: Excellent written communication skills with the ability to explain complex concepts clearly, concisely, and accurately.

III. Preferred Qualifications (The 'Ideal' Candidate)

• Proven track record of producing top 100 rankers in competitive exams.
• Content Development: Expertise in developing high-quality, original problems of competitive exam level and/or GATE. Experience authoring personal teaching materials, notes, and question banks is highly desirable.
• Experience with AI/ML Feedback: Familiarity with providing structured feedback for AI models or large language models.

IV. Personal Attributes & Soft Skills

• Meticulous & Detail-Oriented: An unwavering commitment to accuracy, a keen eye for minute details, and a high standard for quality.
• Pedagogical Aptitude: A natural ability to explain concepts in an easy-to-understand, step-by-step manner, considering different learning styles.
• Analytical & Critical Thinker: Capable of critically evaluating information, identifying logical flaws, and applying analytical reasoning to solve problems.
• Organized, Efficient & Proactive: Able to manage time effectively, prioritize tasks, and consistently meet deadlines in a fast-paced environment.
• Collaborative & Dynamic: Works well in a team setting, is open to receiving and incorporating feedback, and is dedicated to continuous improvement.