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Hire STEM experts to train and evaluate your AI models

Frontier models need more than generalist labelers. Athyna Intelligence matches your team with LATAM's PhD and Master's-level professionals ready to train your AI.

What STEM experts actually do for your AI training pipeline

Reasoning data generation

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Writing multi-step problems that push a model into genuine derivation, not pattern-matching. A STEM PhD knows the difference between a question that tests recall and one that tests real reasoning.

Model output evaluation

Checking a model's worked solution against real domain logic, not just surface confidence. A STEM expert catches the exact step where a derivation breaks, the kind of error a generalist rater would read past.

Domain-specific benchmarking

Building and scoring evaluation sets in a specific scientific field, so your team knows whether the model actually improved or just got better at sounding like it did.

Rubric design and calibration

STEM experts write the grading rubrics other reviewers use, so quality holds up at scale instead of drifting from rater to rater.

Why LATAM STEM talent, specifically

Brazil, Mexico, Argentina, Chile, and more graduate a deep bench of STEM PhDs and Master's students every year, many from universities with strong research output in physics, chemistry, engineering, math, computer science, and others.

Academic depth

Candidates often carry publications in journals like Nature, IEEE, or Physical Review, and bring postdoc-level research experience in their field.

Cost

A senior STEM researcher costs 40-60% less than an equivalent hire in the US or Europe, without a drop in quality.

Timezone

Brazil, Mexico, Argentina, and Chile all sit 1-3 hours from US Eastern time. A question about a batch of reasoning data gets answered the same morning.

How to hire STEM talent with Intelligence

Tell us what you need

Domain, task type (generation, evaluation, rubric design), and volume.

We match you fast

Vetted STEM PhDs and Master's grads, matched to your project within 48-72 hours.

They start working

On your platform, integrated into your existing evaluation workflow.

Why hire AI trainers with Athyna Intelligence

Vetted PhD and Master's talent

Every candidate is screened for domain credentials and English fluency before you ever see a profile.

Fast matching

We combine AI matching with a human touch to vet candidates in 3 days or less, so you meet qualified experts fast.

Scale up or down as needed

Add or reduce hours or tasks as your project volume shifts.

Frequently asked questions

What is a STEM expert in the context of AI training?

A STEM expert is a professional with an advanced degree, usually a PhD or Master's, in physics, chemistry, biology, mathematics, or engineering, who applies that domain knowledge to generate, evaluate, or grade AI training data. Their value is in catching errors and reasoning gaps that a generalist rater without the subject background would miss.

Why do AI labs need domain experts instead of generalist annotators?

Generalist annotators can flag whether an answer sounds coherent, but they can't verify whether a multi-step derivation in chemistry or physics is actually correct. As models get evaluated on harder, more specialized reasoning tasks, labs need reviewers who can independently solve the problem themselves, not just check the model's tone.

How much does it cost to hire STEM PhDs for AI training?

Rates depend on domain, task complexity, and volume, but LATAM-based STEM PhDs typically cost 40-60% less than equivalent US or European hires.

Where are Athyna's STEM experts located?

Primarily Brazil, Argentina, Mexico, and LatAm in general with academic backgrounds from research universities across the region.

Can STEM experts help build evaluation benchmarks, not just review data?

Yes. Beyond one-off review, STEM experts on Athyna can help design domain-specific benchmarks and grading rubrics, so your evaluation process holds up as your model and your task set both evolve.

Talk to us

Let's match you with the right AI talent

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