AI Math Reviewer & Training Content Specialist

SuperAnnotate AI, Inc.; United States; Remote; USD 58,000 - 96,000; Full time

Job summary

SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate, seeks mathematicians to join an AI training project. You will review AI-generated responses, assess reasoning quality, and provide expert feedback to improve model explanations and accuracy.

Responsibilities include developing training content, evaluating responses for correctness, and checking for biases. English proficiency at C1+ is required; MS/PhD in Math/Stats is preferred.

Qualifications

• MS or PhD in Math/Stats or related field from top universities.
• Strong in pure and applied mathematics, proofs, modeling, statistics/probability and optimization.
• Expert at fact-checking information using public sources.
• Ability to communicate mathematics clearly and translate theory into real-world solutions.
• Background in research or analytical writing is preferred.
• English proficiency C1+ with excellent writing.
• For PhD holders: develop or review complex math content.
• Bonus: data labeling, RLHF, or AI model evaluation experience.

Responsibilities

• Develop AI training content: create prompts and responses to guide AI learning.
• Evaluate and rank AI responses to enhance model accuracy and relevance.
• Test AI models for inaccuracies or biases and validate reliability.

Skills

Math/Stats PhD or MS

English proficiency

Mathematics (pure & applied)

Proofs & reasoning

Modeling & statistics

Optimization

Fact-checking with public sources

Clear mathematical communication

Research/writing background

Programming experience

Education

MS or PhD in Math/Stats

Job description

SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate, seeks mathematicians to join an AI training project. You will review AI-generated responses, assess reasoning quality, and provide expert feedback to improve model explanations and accuracy.

Responsibilities include developing training content, evaluating responses for correctness, and checking for biases. English proficiency at C1+ is required; MS/PhD in Math/Stats is preferred.