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Trainer Network / early access

Help Train the Next Generation of Home Robots

Join a growing network of people interested in helping robotics and Physical AI teams learn from the real world.

Start with equipment you already have. Some future projects may only require a phone or camera, while qualified trainers may later be invited to projects involving sensors or robotic hardware.

Join the Trainer Network

Join the early-access list and we'll notify you when matching training opportunities become available.

Free to join. No robot required. No guaranteed projects or earnings.

HOME / REAL WORLDEARLY ACCESS
Everyday actions.
Useful training signals.
01 / Capture02 / Demonstrate03 / Learn
PHONECAMERASENSORSROBOT

A potential path

How it could work.

This is an early-access list, not a live job board. We are learning who may be interested and what equipment and environments they can access.

01

Join the network

Tell us about your equipment, environments, availability, and whether you own robotics hardware.

02

Get matched

If a future training task fits your profile, HomeRobotHQ may notify you.

03

Complete the task

Projects may involve recording demonstrations, operating equipment, collecting data, or performing specific real-world tasks.

04

Get paid for approved work

Future paid projects may compensate trainers for completed and approved work. No tasks or earnings are guaranteed.

Start where you are

No robot required.

You do not need to own a robot to join. Future work could start with a phone, camera, and ordinary household tasks. Other projects may need sensors, teleoperation, or compatible robot hardware.

Qualified trainers may eventually receive project-specific equipment when required, but equipment is not promised.

  • 01Human demonstrations using a phone or camera
  • 02Egocentric / POV data collection
  • 03Sensor-based projects
  • 04Robot teleoperation
  • 05Projects using equipment supplied for the task
  • 06Projects for owners of compatible robots

Beyond the lab

Robots need to learn in more than one lab.

Different homes, layouts, objects, lighting conditions, and workspaces may help Physical AI systems learn to operate in the real world.

01Kitchen
02Living room
03Garage
04Workshop
05Office
06Backyard
07Retail / business
08Warehouse

Illustrative projects

What a training opportunity could look like.

These are examples to explain the network. They are not open jobs, active projects, or offers of paid work.

EXAMPLE OPPORTUNITY01 / 04

Kitchen Object Sorting

Equipment
Smartphone
Environment
Kitchen
Task
Record structured demonstrations of placing common household objects into different locations.
Compensation model
Per approved demonstration
Status
Example only
EXAMPLE OPPORTUNITY02 / 04

Drawer Opening

Equipment
Robotic training kit
Environment
Home / kitchen
Task
Use teleoperation to demonstrate opening drawers with different handles and layouts.
Compensation model
Per approved robot trajectory
Status
Example only
EXAMPLE OPPORTUNITY03 / 04

Robot Failure Recovery

Equipment
Compatible robot
Trainer level
Advanced
Task
Take control when a robot fails a task and demonstrate the correct recovery.
Compensation model
Per approved recovery episode
Status
Example only
EXAMPLE OPPORTUNITY04 / 04

Household POV Collection

Equipment
Phone or POV camera
Environment
Home
Task
Perform structured everyday household activities according to project instructions.
Compensation model
Per approved collection
Status
Example only

Potential roles

Different ways to contribute.

These are possible project categories, not ranks or an automatic progression. Access would depend on the needs and requirements of each future project.

  1. 01

    Human Capture

    Use a phone or camera to perform structured real-world tasks.

  2. 02

    Sensor Trainer

    Participate in projects using additional cameras or sensors.

  3. 03

    Robot Trainer

    Operate standardized robotic equipment through teleoperation.

  4. 04

    Robot Owner

    Join compatible projects using robotics hardware you already own.

  5. 05

    Customer Hardware Operator

    Experienced trainers may qualify for projects using specialized customer equipment.

Early access

Join the Trainer Network.

Tell us where and how you could participate. We'll use this profile to identify future opportunities that may be a fit.

Joining is free. There are no guaranteed projects, earnings, or equipment.

Fields marked are required. We only ask for general location, not your exact address.

Which environments do you regularly have access to? *
Do you currently own any robotics hardware? *
Would you be comfortable using robotic or sensor equipment supplied for a future paid project? *
What equipment do you currently have access to? *

No robot required. No guaranteed tasks or earnings.

Founding network

Become a Founding Trainer.

We're building the first HomeRobotHQ Trainer Network. Join early and help us build a distributed community for real-world robot training.

Join the Network

For robotics teams

Building robots or Physical AI systems?

Interested in collecting training data across real-world environments?

Contact HomeRobotHQ

The HomeRobotHQ Trainer Network is a commercial initiative separate from HomeRobotHQ's independent editorial research.