Make Money Recording Videos for AI is it true?
The answer lies in the reports, in the billions invested in robotics and in a global race to teach machines to do what seems simple to us.
The matter is already in the mainstream press
Read the full reports in the original vehicles.
Cutting fruit, folding clothes and cooking with cameras on your head
A story about workers recording household chores to generate data used to train robots.
Read report ↗ Small Companies & Big BusinessesStartup pays users to film their own trash
The case shows how everyday scenes can feed robotic perception and manipulation systems.
Read report ↗ CNN Brasil • TechnologyHow household chores can train robot “butlers”
The link between first-person videos, imitation learning and the home assistants of the future.
Read report ↗The doubt is understandable: Why would anyone pay to watch someone wash dishes, put away groceries or fold a towel? Because a robot doesn't learn just by reading instructions. He needs to observe thousands of real variations in movement, objects, lighting, spaces and unforeseen events.
Companies and intermediaries can compensate participants for data collection projects. This does not mean guaranteed employment, fixed income or automatic approval: campaigns, countries, values and criteria change. Be wary of exaggerated promises and always confirm the official domain.
From video to movementWhy do companies pay for simple tasks?
First-person videos record what a person sees and does at the same time. This combination helps robotics teams study perception, sequence of actions, hand coordination and response to situations that do not exist in perfectly organized laboratories.
The person records a task following framing and privacy instructions.
Objects, actions and steps can be identified and classified.
Models learn relationships between vision, language and movement.
The robot is tested in increasingly varied environments and situations.
The video does not “become a robot” on its own. It makes up a set of data that can be used with simulations, teleoperation, sensors on the robot itself and human demonstrations. The quality, diversity and consent of collection are as important as quantity.
Global raceWho is investing in humanoid robots
The dispute involves robot manufacturers, automotive companies, AI laboratories and chip suppliers. Many projects begin in factories and warehouses, where the environment is more controlled, before attempting to operate safely inside homes.
Tesla • Optimus
The automaker develops a general-purpose humanoid and uses its experience in computer vision, batteries and scale production.
Figure AI
Develops humanoid robots with AI models aimed at understanding language and performing physical tasks.
1X • NEO
It is one of the bets most directly aimed at the house. The company has opened early access to NEO and claims that the robot learns from real-world data.
Discover the official project ↗Apptronik • Apollo
It received investment to expand production and implementation of Apollo, with support from companies such as Google and Mercedes-Benz.
Boston Dynamics • Atlas
Controlled by Hyundai, the company positions the Atlas first in industrial applications, an important way to prove reliability.
UBTECH and Unitree
They represent a very active Chinese ecosystem in humanoid manufacturing, components, research and commercial pilots.
Innovation mapWhich countries are ahead?
China and the United States form the two major hubs. China combines supply chain, factory scale and public policies; the United States concentrates capital, AI companies, chips and startups. South Korea has strength in components, automobiles and production. Japan and Europe remain relevant in industrial robotics, research and security.
The International Federation of Robotics recorded that China installed 295,000 industrial robots in 2024, almost nine times the volume of the United States in the same period. This doesn't just measure humanoids, but reveals the depth of the industrial ecosystem that can accelerate their production.
Projection, not promiseHow big is this market?
is Goldman Sachs Research's projection for the global market for humanoid robots in 2035. Estimates change depending on cost, autonomy, safety and production speed.
The number shows potential, not certainty. The market still needs to resolve more dexterous hands, battery life, reliable learning, price, maintenance and safety when working around children, elderly people and animals.
Next frontierWhen will robots do boring chores at home?
The first advanced home products begin as early access, pilot, or supervised service. 1X announced initial NEO deliveries and growing industrial capacity, while many competitors continue to prioritize factories. Widespread adoption in homes will likely be gradual over the next decade.
Data collection, teleoperation, pilots and delimited industrial tasks.
First home users, high prices and human supervision on some tasks.
If costs fall and security improves, domestic services could gain scale.
Before a robot can fold clothes on its own, someone needs to show — many times — how real clothes behave.
Ganhe Treinando IA
Blog GuidesCompanies and platforms to follow
The blog maintains explanatory pages about platforms linked to data collection and AI tasks. Read the requirements, check availability in Brazil and only access official domains.
Hub DataGuide, registration, tasks and payment→
CrowtadoVideos, voice, photos and projects→
MimixFull page and official access→
KGENData collection and tasks→
ClaruRegistration and work guides→
Editorial transparencySources and methodology
This special crosses the highlighted reports with official pages and sectoral references. See also the International Federation of Robotics, a Goldman Sachs Research projection, a NEO official page and the Apptronik announcements. Projections are not guarantees, and commercial information must be confirmed on official websites.
