Applied Mathematician - AI Trainer

Job summary

Design challenging mathematical tasks that expose errors in AI model reasoning, define correctness standards, and validate each task before submission. Provide reproducible, step-by-step solutions and identify invalid reasoning, unstated assumptions, and answers reached through incorrect work.

Job details

DataAnnotation is looking for an experienced mathematician to design mathematical problems that today's leading AI models still get wrong. Models are fluent enough to produce an answer that looks right and a derivation that reads well. You bring the judgment to tell the difference between the two, and the tooling to prove it. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep mathematical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages Of Contracting With Us You will be able to choose which projects you want to work on and when You work on your own schedule, on your own computer, from the comfort of your own home Get access to projects at $40-$125 USD per hour, with bonuses on high-quality work Responsibilities Design complex mathematical tasks in your area of expertise Define what a correct answer looks like and the standard a model has to meet Test and validate the task yourself before you submit it Write a step-by-step solution another researcher could reproduce Design tasks a model cannot solve by replaying a known result, and flag where its reasoning breaks: invalid steps, unstated assumptions, right answers reached by wrong work Work across numerical analysis, optimization, probability and statistics, applied analysis, and scientific machine learning Qualifications Fluency in English (native or bilingual level) An active research background in mathematics or statistics: advanced graduate student, postdoc, academic researcher, or industry practitioner Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest Familiarity with reproducible or containerized environments such as Docker is a plus Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position. #math

What you’ll do

Design challenging mathematical tasks that expose errors in AI model reasoning, define correctness standards, and validate each task before submission. Provide reproducible, step-by-step solutions and identify invalid reasoning, unstated assumptions, and answers reached through incorrect work.

Requirements

Applicants should have an active research background in mathematics or statistics, such as advanced graduate study, postdoctoral work, academic research, or industry practice. They need strong Python and terminal skills; English fluency is required, and familiarity with Docker or other reproducible environments is a plus.

Benefits

• Flexible Schedule
• Work From Home
• Project Selection
• Performance Bonuses

Listed skills

• Docker · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Applied Mathematics
• Mathematical Problem Design
• Mathematical Reasoning
• Python
• Coding
• Numerical Analysis
• Optimization
• Probability
• Statistics
• Applied Analysis
• Scientific Machine Learning
• Task Validation
• Reproducible Research
• Docker

Job areas

• Science & Research
• Technology
• Software
• Data & Analytics

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