What the data shows
- 1
Tesla has the most documented in-house data operation (13 sourced facts).
- 2
18 companies and centres run a dedicated data-collection facility on record (20 facility facts).
- 3
14 published pay figures for in-house collectors and operators from 11 companies.
- 4
23 stated team sizes and data volumes, from small teleoperation teams to datasets measured in hundreds of thousands of hours.
Figure 1
Who collects their own robot data, and how
Which robotics companies run their own data collection, with what method, how many people and how many hours?
Base: 36 companies and centres, 119 facts, each linked to its source (reviewed 28 Oct 2026).
A company appears once a source documents data it collects with its own people; vendors that collect for others are in the vendors report.
Credit: compiled by RobotTraining.jobs Research, How Robotics Labs Collect Their Own Training Data: Facilities, Teams, Hours and Pay, October 2026 edition.
Figure 2
How much: teams and hours of data
How many people do robotics companies put on data collection, and how many hours of data have they gathered?
Base: 23 team sizes and data volumes, each in its source's own words.
Volumes are as each company states them (hours of video, hours of teleoperation, episodes); they are not converted to one unit.
Credit: compiled by RobotTraining.jobs Research, How Robotics Labs Collect Their Own Training Data: Facilities, Teams, Hours and Pay, October 2026 edition.
Figure 3
What in-house data collectors are paid
What do robotics companies pay the people who collect their training data in-house?
Base: 14 pay figures from job postings and reporting.
A posting's range is the employer's offer, not measured earnings.
Credit: compiled by RobotTraining.jobs Research, How Robotics Labs Collect Their Own Training Data: Facilities, Teams, Hours and Pay, October 2026 edition.
Figure 4
Every sourced fact
What has each company or its press coverage said about collecting its own robot data?
Base: All 119 facts.
Credit: compiled by RobotTraining.jobs Research, How Robotics Labs Collect Their Own Training Data: Facilities, Teams, Hours and Pay, October 2026 edition.
Robotics labs ยท Fleet operators ยท Data vendors ยท Research teams
Buy the data behind this report
This report sums up records we gather ourselves, day after day:
1,432 robot training roles followed, history included
Every role on 100 employer job boards, read each day since 12 Sep 2026: its pay, its place, and the first and last day it was up.
536 apply clicks over 28 days
Which robot training roles people really apply to, by kind of work, pay and place. The clicks happen here, so no one else can count them.
25 sourced industry datasets
Funding, revenue, deals, fleets, deployments and prices across the robot training industry, each record linked to the publication it comes from.
On offer
The raw records
Every robot training role we track: title, employer, place, kind of work, pay as stated, and the days it was first and last open.
A regular feed
New and closed roles every week or month, as file drops or through the data endpoints.
A custom cut
Any figure here by country, city, kind of work, vehicle, employer or date, or your own hiring benchmarked against the market.
Need the people behind this data for your own robots? (you contract them yourself) or (we deliver the robot data).
Investing in robotics, AV or robot-data companies? The Robot hiring radar is these records role by role, every day, as files.
Robot hiring brief: free, once a month
The robot-training job market in figures, on the first weekday of each month: open roles, what opened and closed, who added and who cut, and posted pay by kind of work. To your work email.
How it was measured
The companies' own posts, job postings and filings, and reporting by major outlets, each linked beside its fact with a verbatim quote kept in the dataset. Each row carries a link to its publication and gives the number exactly as published, with no estimates or conversions. A note under every figure says what it covers.
- In-house
- Data a company collects with people it employs or contracts directly, in its own facilities or vehicles, rather than buying it from a vendor.
- Stated or reported
- Stated: the company, a filing or its own posting says it. Reported: an outlet reports it from sources the company has not confirmed.
Limits of this data
- Built only from public sources. Anything never announced or reported is absent, and private-company figures are whatever the company or the press said, unaudited.
- Companies disclose unevenly, so the number of facts reflects what is public, not the size of an operation.
- Pay from job postings is the offer at the time it was read and can change.
Collection and classification of listings are explained on the methodology page. Freshness, completeness and consistency are tested daily in the data quality report.
Monthly editions
The live page shows the dataset as of its latest review, and new events join it once they are made public. Every finished month also gets its own edition, locked two days after month end, so a number quoted from it stays fixed.
- Live pageLatest review
- October 2026 edition (you are here)Will lock when the next daily refresh runs
Quoting this report
You may quote, chart or republish these figures under CC BY 4.0, provided you link back to this page. This edition is locked: its numbers will not change.
Citation
RobotTraining.jobs (2026). How Robotics Labs Collect Their Own Training Data: Facilities, Teams, Hours and Pay, October 2026 edition. https://robottraining.jobs/research/robot-labs-in-house-data-collection/2026-10
BibTeX
@misc{robottrainingjobs_robot_labs_in_house_data_collection_2026_10,
author = {{RobotTraining.jobs}},
title = {How Robotics Labs Collect Their Own Training Data: Facilities, Teams, Hours and Pay, October 2026 edition},
year = {2026},
howpublished = {\url{https://robottraining.jobs/research/robot-labs-in-house-data-collection/2026-10}},
}Keep reading
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