Remote LLM Quality Analyst - Mathematics

A well-funded AI research company seeks candidates with strong mathematical skills and problem-solving abilities. Ideal candidates should understand high school-level math, solve complex problems, explain solutions clearly, and work efficiently under time constraints.

What does day-to-day look like:

You'll be tackling diverse high school math problems and crafting clear explanations. Here are a couple of examples of the types of problems you might encounter:

• Solve a system of linear equations using matrices and explain the process step-by-step.
• Use integration techniques to find the area of a region bounded by a parabola and a line.
  
  

Note: A strong foundation in high school mathematics is required, but no other specialized domain experience is needed.

Requirements:

• Mathematical Proficiency: Strong skills in algebra, geometry, trigonometry, and calculus at the high school level.
• Problem-Solving Skills: Ability to approach complex problems systematically and creatively.
• Explanation Skills: Capacity to break down solutions into clear, understandable steps.
• Time Management: Ability to solve problems efficiently and meet deadlines.
• Commitment: Ability to work full-time, 40 hours per week.
• Technical Setup: Desktop/Laptop with reliable internet connection and necessary software for mathematical computations and online collaboration.
  
  

Preferred Qualifications:

• Bachelor's degree in Mathematics, Engineering, Physics, or a related field (or equivalent demonstrated math skills)
• Experience tutoring/teaching high school math.
• Familiarity with standardized test formats and requirements for 12th standard mathematics exams.
• Knowledge of mathematical software and tools is a plus (e.g., Latex, Google Collab).
  
  

Benefits:

• Competitive compensation based on experience and expertise.
• Flexible working hours and remote work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.
  
  

Application Process:

• Online Math Assessment
• Interview (if assessment passed)
• Optional Mock Teaching Session (for selected candidates)
  
  

Typical duration: 2 weeks