Role Title: Mathematics AI Trainer (Remote) Role Type: Part-time Location: Remote Role Overview.

- In this role, you will work on projects that improve and evaluate large language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication.
- The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs.
- You should be able to break down complex mathematical concepts into simple, clear explanations and work efficiently.
- The role also includes computational projects where you design precise, closed-ended prompts, write reliable Python code, verify numerical answers, and provide clear rationales.
- The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world! What does day-to-day look like: 1. Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings.
- Solve problems independently and write detailed, logically structured solutions with explicit justifications.
- Review model-generated solutions, identify mathematical errors or missing arguments, and provide precise feedback, annotations, and corrections..
- Contribute to defining new evaluation benchmarks based on Mathematics curricula spanning from early undergraduate to PhD-level topics.
- Develop and validate Python-based solutions for computational tasks using approved scientific libraries.
- Work on theorem-prover tasks using Lean, including translating mathematical problems and proofs into formal language, verifying that formal proofs compile correctly.

Requirements: 1.

Analytical Skills: Good research and analytical skills 2.

Feedback Skills:



Ability to provide constructive feedback and detailed annotations. 3.

Creative Thinking: Creative and lateral thinking abilities. 4.

Communication: Excellent structured communication and collaboration skills in a remote setting. 5.

Independence: Self-motivated and able to work independently in a remote setting. 6.

Technical Setup: Desktop/Laptop set up with a good internet connection.

Preferred Qualifications: 1. Candidates pursuing a Master’s/Ph.D./Postdoctoral degree in Mathematics, Applied Mathematics, Statistics, or a related field are eligible and encouraged to apply.

- Ability to analyze and solve complex math problems with a structured and logical approach.
- Ability to explain math concepts clearly using simple language, visuals, and examples.

Offer Details: 1.

Commitments Required: at least 4 hours per day and a minimum of 20 hours per week, with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) 2.

Engagement type: Contractor assignment/freelancer (no medical/paid leave) What You’ll Do 1. Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings.

- Solve problems independently and write detailed, logically structured solutions with clear justifications.
- Review model-generated solutions, identify mathematical errors or missing arguments, and provide precise feedback, annotations, and corrections..
- Contribute to defining new evaluation benchmarks based on Mathematics curricula spanning from early undergraduate to PhD-level topics.
- Develop and validate Python-based solutions for computational tasks using approved scientific libraries.
- Work on theorem-prover tasks using Lean, including translating mathematical problems and proofs into formal language, verifying that formal proofs compile correctly.

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📌 Mathematics AI Trainer (Remote) (Canada)
🏢 Joblet-AI
📍 Canada