Mathematics Specialist
About the role
SME Careers, a subsidiary of SuperAnnotate, is looking for mathematicians to join their AI training project. The role involves reviewing AI-generated mathematical responses, evaluating reasoning quality, and providing expert feedback to improve model accuracy and clarity. Responsibilities include assessing solutions for correctness, identifying errors, writing high-quality explanations, and rating AI responses based on mathematical reasoning. The position also involves creating prompts and responses to guide AI learning, optimizing AI performance, and testing models for accuracy and bias. Candidates should have advanced degrees in mathematics or related fields from top universities, strong mathematical and analytical skills, and excellent English communication abilities. There is no immediate project, but qualified candidates will be prioritized for future opportunities within the expert network.
Must have
- 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.
- 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).
Nice to have
- Background in research, analytical writing, debate, programming, or mathematics is preferred.
- Bonus: Data labeling, RLHF, or AI model evaluation experience.
Technologies
- Model Evaluation
- RLHF
- Statistics
Highlights
There is currently no active project; selected candidates will be contacted first when relevant opportunities arise and will gain access to future projects through the expert network. English proficiency at C1 level or above is required. A background in research, analytical writing, debate, programming, or mathematics is preferred. Experience with data labeling, RLHF, or AI model evaluation is considered a bonus.
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