Mathematics Specialist

Overview

SME Careers, a fast-growing AI data services company and subsidiary of Super Annotate, is seeking mathematicians to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt;

identify errors in calculations, methodology, or conceptual understanding; fact-check quantitative information across; write high-quality mathematical explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on mathematical correctness and reasoning quality.

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

• Develop AI Training Content:
  Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance:
  Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity:
  Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

• You hold an MS or PhD in Math/Stats or a related field in one of the top 100 universities.
• Confident in pure and applied mathematics, proofs, modeling, statistics/probability, and optimization.
• Expert at fact-checking information using public sources across multiple domains.
• You communicate mathematics clearly and turn advanced theory into real-world solutions.
• Background in research, analytical writing, debate, programming, or mathematics is preferred.
• English proficiency C1 and above with excellent writing skills.
• For PhD holders, you have developed or critically reviewed complex math content (e.g., problem banks, proofs, textbook sections, research notes).
• Bonus:
  Data labeling, RLHF, or AI model evaluation experience.