Mathematics Specialist (Masters/PhDs)
Alignerr · Remote · Data annotation / labeling
Mathematics Specialist (Masters/PhDs) is an open role at Alignerr, available remotely, with pay listed as $75–$90/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $75–$90/hrStated by Alignerr
- Location
- Remote
- Work type
- Data annotation / labeling
- Field
- Science / STEM
- Listed
- Since Oct 4, last confirmed Oct 22
How the pay compares
Higher than 55% of the 117 distinct hourly rates advertised for Science / STEM roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“Mathematics Specialist (Masters/PhDs) - AI Training About the Role What if your expertise in advanced mathematics could directly shape how AI reasons through the world's most complex problems?”
Show the full listing
Mathematics Specialist (Masters/PhDs) - AI Training About the Role What if your expertise in advanced mathematics could directly shape how AI reasons through the world's most complex problems? We're looking for Mathematics Specialists with Masters or PhD-level training to help build and evaluate the mathematical reasoning capabilities of cutting-edge AI models. This is a fully remote, flexible contract role. If you have deep expertise in algebra, calculus, statistics, or discrete mathematics — and you love working with rigorous, challenging problems — this is built for you. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Develop, solve, and critically review advanced mathematical problems with real-world relevance Design complex problem statements that push the boundaries of AI reasoning across algebra, calculus, statistics, discrete mathematics, and related areas Collaborate asynchronously with AI researchers and domain experts to evaluate and strengthen model outputs Ensure mathematical rigor, precision, and clarity across all deliverables Apply computational tools such as Python, MATLAB, or Mathematica where appropriate Who You Are Holder of a Master's or PhD in Mathematics or a closely related field Deeply experienced in one or more of: algebra, calculus, statistics, or discrete mathematics Proficient in Python, MATLAB, or Mathematica for research or quantitative work Exceptionally detail-oriented — you hold yourself to a high standard of mathematical correctness A clear and effective communicator, both in writing and when explaining complex ideas Fluent in English Nice to Have Prior experience with data annotation, data quality review, or AI evaluation workflows Background in academic research, technical writing, or curriculum development Familiarity with AI or machine learning tools as an end user Experience designing or grading advanced mathematical assessments Why Join Us Work on genuinely cutting
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Mathematics Specialist (Masters/PhDs) role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Mathematics Specialist (Masters/PhDs) role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Mathematics Specialist (Masters/PhDs) role at Alignerr pay?
Alignerr lists this role's pay as $75–$90/hr, quoted from the listing rather than estimated.
What kind of work is Mathematics Specialist (Masters/PhDs)?
Data annotation / labeling. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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