Egocentric training
data, collected at
global scale.
We recruit, train, and manage 1,000+ active camera operators across 20+ countries, recording first-person video — silent or narrated step by step — of real household, commercial and industrial activities. 25,000+ hours delivered, QC'd daily and shipped training-ready in LeRobot, RLDS, HDF5, or your format.
Your model is blocked
on data, not architecture.
Embodied AI models are starving for one thing: diverse, real-world, first-person human data. A lab can script demonstrations all day — it still produces one kitchen, one lighting condition, one demographic. Environmental diversity is the bottleneck, and it can't be faked.
"A dataset of one million noisy hours is not an asset — it's a liability. Bad footage teaches inconsistent behavior, and more data just compounds the noise."
Building your own collection network means recruiting workers across a dozen countries, training them on capture protocol, QC'ing every clip, and running payroll twice a month. That's an entire ops company inside your ML team. It's exactly the company we already built.
In-house collection doesn't scale
Recruiting, training, and paying hundreds of operators is a full-time ops job. We run it for you.
Lab data lacks diversity
One facility means one environment. Models need thousands of real homes and workplaces.
Raw footage ≠ training data
Shaky, blurry, mis-framed clips poison a dataset. Every hour we ship passes multi-stage QC.
Scale AI minimums are out of reach
Enterprise contracts start at $500K+. We work with Seed–Series B.
Everything from
collection to delivery.
Four services, one vendor. We slot into your pipeline wherever you need us.
Egocentric Data Collection at Scale
We run a global network of 1,000+ active operators recording first-person video of everyday household, kitchen, retail, and workplace activities — head-mounted ultrawide capture, standardized task taxonomies, multi-stage QC. Residential, commercial or industrial; scripted or naturalistic; your capture app or ours. You define the task list and quality bar; we deliver clean, consistent hours every day, and ramp to 1,000+ hrs/day on the same protocol.
Wearable & Sensor Capture
Beyond video: synchronized IMU streams today, hand-pose and action data from sensorized gloves and motion controllers next — the multimodal signal that world-action models need.
IMU live · gloves early accessNarrated Egocentric Video
First-person video with the operator narrating every step out loud in clear English as they work — the paired vision + language signal for VLMs, world models and instruction-following policies. Every clip is transcribed, scored for narration density and coherence, and human-reviewed. Delivered as MP4 + aligned transcript (SRT/JSON) + per-clip metadata (task, environment, words-per-minute, timestamps).
VLA Action Annotation
Send us your raw recordings — or let us annotate what we collect. Episode-level language instructions, subtask segmentation, success/failure labels, and trajectory quality scores.
OpenVLA · pi0 · Octo · ACTAn operations company
that ships training data.
Train Them AI started in 2026 with a simple observation: embodied-AI teams didn't lack models, they lacked diverse, real-world first-person data — and nobody mid-market was willing to run the messy human operation required to collect it at scale.
So we built that operation. Today we're a fully remote, distributed company: Train Them AI LLC, registered in Wyoming (USA) and run from Córdoba, Argentina; 30+ team leads managing operator pods across Latin America, Southeast Asia, South Asia and Africa, and an in-house platform that handles onboarding, uploads, QC feedback and payouts. Clients get one vendor, one protocol, one QC bar — wherever the footage is recorded.
We're small on purpose, operations-first by conviction, and we answer email within a day.
Remote-first, global by design
Train Them AI LLC (Wyoming, USA), operations led from Córdoba, Argentina, operator pods in 20+ countries across four continents. No single-site bias.
Team-lead pods, not a marketplace
30+ team leads recruit, train and coach their own operators. Every clip traces back to a person who gets feedback on it.
Operators paid twice a month
Payouts on the 5th and 20th, every month, in stablecoin — a network that gets paid on time stays motivated and stays put.
Consent and confidentiality built in
Signed contributor agreements and household consent on every recording; client identities and task lists stay under NDA.
Built for embodied AI teams that move too fast to build an internal data ops team.
If your model is starving for diverse, real-world human data — from Seed-stage robotics startups to enterprise AI labs — we're the collection team you'd hire, without the hiring overhead.
Want to collect data with us? Join our operator network →
Ready to fuel
your model?
Tell us what you're building and we'll scope a pilot. First QC'd batch in 2 weeks. No minimums, no lock-in, no enterprise sales cycle.