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Hire senior engineers to build and evaluate SWE-bench style training data. LATAM developers who reproduce issues, review patches, and validate fixes.
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What SWE-bench experts actually do
Patch generation and review
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Issue reproduction
Test-based validation
Benchmark and rubric design
Why LATAM SWE-bench talent, specifically
Brazil, Mexico, Argentina, Colombia, and more graduate a deep bench of senior software engineers every year, many with production experience across the exact languages and frameworks SWE-bench tasks are built on.
Production depth
Many candidates have shipped code in Python, JavaScript, Go, and Java, the stacks that dominate SWE-bench's underlying repositories.
Cost
A senior engineer costs 40-60% less than an equivalent hire in the US or Europe, without a drop in quality.
Timezone
Brazil, Mexico, Argentina, and Colombia all sit 1-3 hours from US Eastern time. A question about a failing test gets answered in real time.
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How to hire SWE-bench 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.
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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 SWE-bench expert in the context of AI training?
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A SWE-bench expert is a senior software engineer who reviews, generates, or validates the code training data used to test whether an AI model can resolve real-world GitHub issues correctly. Their value is in confirming a patch actually fixes the bug, not just that it looks reasonable.
Why do AI labs need senior engineers instead of generalist coders for this work?
SWE-bench tasks require reproducing real bugs, understanding existing codebases, and validating fixes against test suites. Generalist reviewers can tell whether code looks clean. A senior engineer with production experience can tell whether it actually solves the problem it was meant to solve.
How much does it cost to hire SWE-bench experts?
Rates depend on language, task complexity, and volume, but LATAM-based senior engineers typically cost 40-60% less than equivalent US or European hires. H3: Where are Athyna's SWE-bench experts located? Primarily Brazil, Argentina, Mexico, and LatAm in general, with production experience across the languages and frameworks most common in coding benchmarks.
Where are Athyna's SWE-bench experts located?
Primarily Brazil, Argentina, Mexico, and LatAm in general, with production experience across the languages and frameworks most common in coding benchmarks.
Can these experts help build new benchmark tasks, not just review data?
Yes. Beyond reviewing existing tasks, SWE-bench experts on Athyna can help design new benchmark tasks and scoring rubrics for codebases or edge cases your current evaluation set doesn't cover.
Let's match you with the right AI talent
