Remote Math & Reasoning Specialist - 34019

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less