Job description
Overview
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Location:
Remote (Europe-based) Pay : PHD = $42, MS = $28 per hour No experience in annotation needed - just need to be a PhD or masters level PhD candidate! About the Role
We are building the next generation of
frontier generative AI models
to accelerate discovery and innovation in mathematics, computational modeling, and related scientific domains.
Our mission is to combine deep mathematical expertise with cutting-edge AI to create transformative tools for researchers and innovators worldwide.
Role Overview
We are seeking
PhD-level mathematicians
to join our
data annotation and model-training team .
In this role, you will use your advanced mathematics knowledge to
curate, annotate, and validate datasets
that power generative AI models.
Your expertise will ensure models not only understand mathematical concepts at a fundamental level but also generate outputs that are precise, accurate, and logically consistent.
This position is ideal for scientists who are excited about
bridging domain expertise with frontier AI development , and who want to directly shape how AI learns and applies mathematical knowledge.
Responsibilities
Annotate, label, and structure complex mathematics datasets (e.g., equations, proofs, theorems, numerical simulations, datasets from applied math problems) for training generative AI models.
Review, validate, and correct AI-generated outputs to ensure
mathematical accuracy and domain fidelity .
Collaborate with AI engineers and data scientists to translate mathematical concepts into annotation guidelines and workflows.
Develop benchmarks and validation processes for mathematics-related AI outputs.
Provide expert feedback to improve AI performance in areas such as
algebra, analysis, combinatorics, topology, number theory, applied mathematics, or statistics .
Qualifications
PhD in
Mathematics, Applied Mathematics, Statistics, or a closely related discipline .
Strong command of
core mathematical principles
in one or more subfields.
Experience with computational and mathematical tools relevant to your domain (e.g., MATLAB, Python, Mathematica, R, SageMath).
Ability to critically evaluate datasets and AI outputs with precision.
Strong communication skills for cross-disciplinary collaboration.
Must be based in Europe and have access to a personal laptop
suitable for annotation tasks.
Nice-to-Have
Familiarity with
machine learning or generative AI concepts .
Prior experience with
data annotation, curation, or knowledge management .
Programming skills in Python, MATLAB, R, or other math-relevant tools.
Why Join
Shape the
next generation of frontier AI models
at the intersection of mathematics and AI.
Collaborate with a multidisciplinary team spanning AI, mathematics, and applied sciences.
Fully remote role (Europe-based) with flexibility.
Competitive compensation and growth opportunities.
Contribute directly to
AI-driven breakthroughs in mathematics, computational modeling, and scientific discovery .
Please follow the Morpheus LinkedIn page for future opportunities in this space.
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