Mathematics Expert Remote
@ AI Jobs

Hybrid
$43,200
Hybrid
Part Time
Posted 4 days ago

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Job Details

Mathematics Expert Remote

Role: Mathematics Expert working remotely for AI Jobs. This position leverages advanced subject knowledge to train and refine AI models. Candidates will create complex graduate-level mathematics problems, develop grading rubrics, provide high-quality solutions, and evaluate AI-generated responses.

What You Will Be Doing

  • Create challenging, graduate-level mathematics problems for AI reasoning improvement.
  • Develop grading rubrics outlining criteria for accurate responses.
  • Write high-quality solutions demonstrating ideal reasoning and accuracy.
  • Evaluate and provide structured feedback on AI-generated answers.
  • Collaborate across projects to refine AI understanding of mathematical concepts.

What We’re Looking For

  • PhD or Master’s degree (or currently enrolled) in Mathematics or a related field.
  • Strong grasp of advanced mathematical reasoning and problem design.
  • Exceptional analytical and problem solving abilities.
  • High attention to detail in assessing model performance.
  • Fluency in English (written and verbal).

Key skills/competency

  • Mathematics
  • AI Training
  • Problem Solving
  • Grading Rubrics
  • Analytical Skills
  • Advanced Math
  • Feedback
  • Collaboration
  • Remote Work
  • Logical Reasoning
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How to Get Hired at AI Jobs

🎯 Tips for Getting Hired

  • Customize your resume: Highlight advanced mathematics and AI expertise.
  • Showcase problem-solving: Provide examples of challenging math problems.
  • Tailor cover letter: Demonstrate passion for AI and education.
  • Prepare for interviews: Review your analytical and mathematical reasoning skills.

📝 Interview Preparation Advice

Technical Preparation

Review advanced calculus and algebra topics.
Practice constructing complex math problems.
Brush up on AI reasoning methodologies.
Familiarize with grading rubric techniques.

Behavioral Questions

Describe a challenging math project.
Explain decision making in problem design.
Discuss handling constructive feedback.
Share collaboration experiences in teams.

Frequently Asked Questions