Scientific Machine Learning Researcher - AI Trainer

DataAnnotation; United States; Remote; CAD 78,000 - 243,000; Part time

Benefits offered by this job

Choose projects and schedule

Work from home on your own computer

Pay per hour USD 40–125 with bonuses

Job summary

DataAnnotation is seeking an experienced mathematician to design challenging mathematical problems that AI models still struggle to solve accurately. You will determine what constitutes a correct solution and validate tasks end-to-end, ensuring reproducibility and rigorous testing.

You will work independently from home on contract, applying deep mathematical knowledge with strong Python coding skills to create ground truth that guides model evaluation.

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.
• Familiarity with reproducible or containerized environments such as Docker is a plus.

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.

Skills

Fluency in English

Python programming

Education

Active research background in mathematics or statistics

Tools

Docker

Job description

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