About the role
SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate, 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.
Important: 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.
What you'll do
- 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.
What we're looking for
- You hold a 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 holderss: 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.