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Robot foundation models learn from how people actually move through the world. Athyna Intelligence matches you with LATAM demonstrators and annotators who capture that footage at scale.
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What Physical AI experts actually do
Egocentric video collection
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Hand-object interaction labeling
Gaze and task-phase annotation
Natural language narration
Why LATAM Physical AI talent, specifically
Robot foundation models need footage from real, varied environments, kitchens, workshops, warehouses, homes, and more. LATAM gives labs access to a large, diverse demonstrator and annotator workforce across dozens of real-world settings.
Scale and diversity
A large regional talent pool means faster collection across more scenes, more demonstrators, and more real-world variation than a single-market team can produce.
Cost
A trained demonstrator or annotation specialist costs 40-60% less than an equivalent team 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. Feedback on a batch of footage or labels comes back the same day.
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How to hire Physical AI 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 Physical AI expert in the context of AI training?
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A Physical AI expert collects or annotates egocentric video, first-person footage of real tasks, used to train robot foundation models and Vision-Language-Action systems. Their work ranges from recording footage with a head- or chest-mounted camera to labeling hand-object contact, gaze, and task phase frame by frame.
Why does egocentric video need trained demonstrators and annotators instead of generic crowdwork?
Robot policy training depends on frame-level precision, contact state, grasp type, gaze target, that generic labeling doesn't produce. Trained demonstrators also follow a defined collection protocol, so footage comes back usable instead of needing significant rework.
How much does it cost to hire Physical AI experts for AI training?
Rates depend on task type, collection complexity, and volume, but LATAM-based demonstrators and annotators typically cost 40-60% less than equivalent US or European teams.
Where are Athyna's Physical AI experts located?
Primarily Brazil, Argentina, Mexico, and LatAm in general, across a wide range of real-world settings and activities.
Can this team handle both collection and annotation, or just one?
Both. Athyna can source demonstrators for original footage collection, annotators for labeling existing video, or a combined team that handles the full pipeline.
Let's match you with the right AI talent
