Alignerr logo

Mathematics Expert (Masters/PhDs)

Alignerr
Department:HR
Type:REMOTE
Region:Australia
Location:Sydney, New South Wales, Australia
Experience:Entry level
Estimated Salary:A$156,000 - A$187,200
Skills:
MATHEMATICSALGEBRACALCULUSSTATISTICSDISCRETE MATHEMATICSPYTHONMATLABMATHEMATICADATA ANNOTATIONDATA QUALITYEVALUATION SYSTEMS
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Job Description

Posted on: March 7, 2026

Mathematics Expert - $90/hr Remote - Alignerr

  • Location: Remote

About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Organization: Alignerr Position: Mathematics Expert (Masters/PhDs) Type: Hourly Contract Compensation: $75–$90 /hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities (Training Support Will Be Provided)

  • Develop, solve, and review advanced mathematical problems with real-world relevance.
  • Apply expertise in algebra, calculus, statistics, discrete mathematics, or related areas to design complex problem statements.
  • Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.
  • Ensure mathematical rigor, clarity, and depth across all deliverables.

Requirements

  • Master’s or PhD in Mathematics or a related field from a top U.S. university (or equivalent).
  • Experience coding in Python, MATLAB, or Mathematica for research or projects.
  • Strong expertise in algebra, calculus, statistics, or discrete mathematics.
  • Exceptional written and verbal communication skills with strong attention to detail.
  • Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.

Preferred

  • Prior experience with data annotation, data quality, or evaluation systems

Application Process (Takes 15-20 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on LinkedIn

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