Live teleoperation
An operator takes the stick the second a robot freezes, blocks a dock, or loses the lane.
Mexico, US & IndiaUS time zoneLive robot controlAutonomy stalls. The fleet shouldn't.
Scale.jobs puts trained operators in Mexico, the US, and India on your robots — close enough for low-latency control, awake on your clock, cheap enough to keep a human on the loop after midnight. We take the stick, clear the jam, and hand the data back to your model team.
Live fleets, not a slide deck
Robots that still needed a person.
920K+
Supervised miles
540K+
Completed missions
1.8M+
Operator hours
2,400+
Robots supported
1,420+
Mexico, US & India operators
3
Live floors
What the desk actually does
One floor. Eight ways we keep a robot earning.
Start with a night desk. Add labeling, recovery, or training compute when the fleet gets louder. Four desks on this row — slide for the rest.
Autonomy watch
Humans sit on the stream, wave through the 2% that breaks the planner, and keep the other 98% moving.
Night engineering
A Mexico, US, and India desk that already knows your stack and can restart, reroute, or escalate before morning stand-up.
Field recovery
People who can roll to a site, unstick a unit, swap a battery, and get the route back on the board.
Practice yards
Repeatable rooms and lots where a new platform learns the job before it touches a customer site.
Frame labeling
Images, video, and headset footage tagged so your next policy is not guessing at a curb.
Dataset finishing
Raw teleop logs in. Clean, split, train-ready sets out — without a three-week data fire drill.
Burst training compute
GPU hours on tap so a new policy ships this sprint instead of waiting on a purchase order.
Why fleets stay
What Mexico, US, and India desks buy you that a generic night shift does not.
Pods in Mexico, the US, and India on purpose: same working day as Dallas and New Jersey, short enough ping for a forklift on this continent, and a bench deep enough that the desk does not go dark.
01
More than one kind of robot
Same benches have run sidewalks, yards, warehouses, lawns, and humanoids. New hardware is a briefing, not a new company.
02
Operators who have failed before
Certification is hours on a twin, then hours on a quiet lane, then the ugly shift. Nobody gets a live fleet on day three.
03
The desk does not go dark
Two power paths, two ISPs, a backup pod in a second city. If a circuit dies, the robot still has a person.
04
Train without buying a cluster
When a new policy needs a week of GPUs, we rent the week. You keep the weights. We do not keep a warehouse of cards.
05
The shift becomes the dataset
Every intervention is logged, cleaned, and shipped back as imitation-learning fuel. Ops is also your data factory.
06
A person still says no
Hard stops, two-person checks on risky moves, and a written play for the night the model gets cute.
07
Mexico, the US, & India, not one far-shore floor
You get 24/7 coverage, bilingual leads, US field techs, and an India bench on the same operating picture.
08
Close enough to take the stick
Mexico and the US sit on North America routing for live stick work. India covers the rest of the clock.
Who is on the line
A robot company that also happens to run people.
Scale.jobs builds and staffs the human layer around a fleet: the operator, the watcher, the person who drives to the lot at 2am. That layer lives in Mexico, the US, and India. The robots live wherever your sites are.
What we want
Robots that keep working in messy cities and warehouses because a trained person is one hop away — and those people have a real job, not a gig tab.
What we do this year
Stand up Mexico, US, and India pods that a robotics team can plug into in weeks, keep the fleet safe while the model catches up, and send every intervention back as cleaner training data.
Who you talk to
Leela and Balaji run Scale.jobs. The floor is 860+ operators in Mexico, 140+ in the US, and 420+ in India — leads, night engineers, and field techs. Hire Science Inc. d/b/a Scale.jobs.
Leela Yanamaddi
Co-Founder
Balaji Kummari
Co-Founder
Scale your robotics fleet with Scale.jobs.
Talk to our team about teleoperation, HITL, data, or processing-as-a-service. We'll scope a pilot in days, not months.
Prefer email? [email protected]
Bring us one site.We will staff the ugly hours.
Tell us the robot, the city, and how often autonomy taps out. We will map a Mexico, US, and India pod and a two-week shadow before you sign a year.
Book a fleet walkthrough
Or write the floor directly: [email protected]
Straight answers
What buyers usually ask before a pilot.
If your question is about latency, Mexico, the US, India, or how fast a desk goes live, it is in here.
Operators in Mexico, the US, and India sit on your robots for North American sites. They drive when autonomy stops, watch the stream when it is almost fine, and escalate to night engineering when the stack itself is the problem.