What the data shows
- 2
Concentration peaks in Egocentric & Wearable Capture (HHI 5,344, where TSMG holds 71.6%) and is lowest in Embodied-AI Data Annotation (HHI 934, spread over 13 employers).
- 3
Listings are highly concentrated (HHI over 2,500) in 3 of the 7 kinds of work with enough open roles to stand by themselves.
- 4
With the employer set held fixed, concentration rose between 1 Oct 2026 and 31 Oct 2026 (HHI 4,397 to 4,992), dropping in 3 of 7 kinds of work. Robot Task Evaluation & QA shifted most, from 4,545 to 2,500.
Figure 1
Market concentration in each kind of work
In which kinds of robot training work do the openings sit mostly with a single employer?
| Kind of work | HHI | Reading | Its share | ||
|---|---|---|---|---|---|
| All robot training work | 2,197 | Moderately concentrated | TSMG | 43.7% | 100 |
| Egocentric & Wearable Capture | 5,344 | Highly concentrated | TSMG | 71.6% | 11 |
| AV & Drone Operators | 3,234 | Highly concentrated | TSMG | 54.8% | 43 |
| Robot Teleoperation | 2,588 | Highly concentrated | TSMG | 48.8% | 22 |
| Robot Task Evaluation & QA | 2,099 | Moderately concentrated | Waymo | 33.3% | 6 |
| Data & Demonstration Collection | 2,075 | Moderately concentrated | TSMG | 28.3% | 20 |
| Robot Fleet Operations | 1,396 | Unconcentrated | Tesla | 27.4% | 30 |
| Embodied-AI Data Annotation | 934 | Unconcentrated | Arctic Engines | 17.6% | 13 |
Base: 1,150 roles still open as 31 Oct 2026 closed on the job boards this site follows, attributed to the employer posting each one.
HHI adds up the square of each employer's percentage share of open roles. It runs from 0 (lots of small employers) to 10,000 (a single employer). The bands follow US merger-guideline thresholds: below 1,500 is unconcentrated, 1,500 to 2,500 moderately concentrated, and over 2,500 highly concentrated.
Shares are of listings, not of people hired or money paid: an employer posting one role per city or country weighs more here than its hiring may.
A row with under 8.1 open roles carries a small-sample mark and is left unranked: under that count, the average across all rows says more than the row's own open roles do (a weight fitted on the counts themselves).
Credit: RobotTraining.jobs Research, Who Dominates Each Kind of Robot Training Work, October 2026 edition.
Figure 2
Top three employers per kind of work
Which employer is out in front in each kind of robot training work, and by what margin?
| Kind of work | First | Second | Top three's share | |
|---|---|---|---|---|
| Egocentric & Wearable Capture | TSMG (71.6%) | Claru (11.9%) | Alignerr (7.5%) | 91.0% |
| Data & Demonstration Collection | TSMG (28.3%) | Tesla (26.0%) | Alignerr (23.6%) | 78.0% |
| AV & Drone Operators | TSMG (54.8%) | Tesla (13.2%) | Transdev (4.6%) | 72.6% |
| Robot Teleoperation | TSMG (48.8%) | Figure AI (8.5%) | HireArt (7.3%) | 64.6% |
| Robot Fleet Operations | Tesla (27.4%) | Amazon Prime Air (17.7%) | TSMG (13.9%) | 59.1% |
| Embodied-AI Data Annotation | Arctic Engines (17.6%) | Genesis AI (11.8%) | Welo Data (11.8%) | 41.2% |
Base: Kinds of work with roles live on 31 Oct 2026, kept only where the top three's share rests on enough roles to stand by itself.
Kinds of work with under 12.5 live roles are dropped: at that size the average across all kinds counts for more than the kind's own roles (the weight comes from fitting the kinds' own counts).
Credit: RobotTraining.jobs Research, Who Dominates Each Kind of Robot Training Work, October 2026 edition.
Figure 3
Consolidation over the window, kind by kind
Holding the employer set fixed, did openings become more or less concentrated during the window?
| Kind of work | HHI on 1 Oct 2026 | HHI on 31 Oct 2026 | Change |
|---|---|---|---|
| All robot training work | 4,397 | 4,992 | +595 |
| Egocentric & Wearable Capture | 8,101 | 8,539 | +438 |
| AV & Drone Operators | 6,037 | 6,059 | +22 |
| Data & Demonstration Collection | 3,340 | 3,875 | +535 |
| Robot Teleoperation | 2,828 | 3,771 | +943 |
| Robot Task Evaluation & QA | 4,545 | 2,500 | -2,045 |
| Robot Fleet Operations | 2,554 | 2,323 | -231 |
| Embodied-AI Data Annotation | 2,727 | 1,400 | -1,327 |
Base: Roles live at the window's first and last moments, at employers followed for its whole length.
Employers picked up partway through are excluded at both ends, so a newcomer is never mistaken for a shift in competition.
When the window opens: A row with under 6.7 open roles carries a small-sample mark and is left unranked: under that count, the average across all rows says more than the row's own open roles do (a weight fitted on the counts themselves).
When the window closes: A row with under 4.5 open roles carries a small-sample mark and is left unranked: under that count, the average across all rows says more than the row's own open roles do (a weight fitted on the counts themselves).
Credit: RobotTraining.jobs Research, Who Dominates Each Kind of Robot Training Work, October 2026 edition.
Figure 4
Specialists and generalists
Who hires across many kinds of work, and who focuses narrowly?
| Employer | Kinds of work listed | Share in its main kind | ||
|---|---|---|---|---|
| HireArt | 5 | 52.0% | 3,504 | 25 |
| TSMG | 5 | 59.2% | 4,032 | 503 |
| Alignerr | 3 | 73.2% | 5,955 | 41 |
| Avride | 3 | 80.0% | 6,622 | 15 |
| Dyna Robotics | 3 | 77.8% | 6,296 | 9 |
| Figure AI | 3 | 70.0% | 5,400 | 10 |
| Genesis AI | 3 | 33.3% | 3,333 | 6 |
| micro1 | 3 | 50.0% | 3,889 | 6 |
| Tesla | 3 | 42.4% | 3,633 | 170 |
| 1X TechnologiesSmall sample | 2 | 50.0% | 5,000 | 2 |
| Amazon Prime Air | 2 | 71.2% | 5,898 | 59 |
| Applied IntuitionSmall sample | 2 | 50.0% | 5,000 | 2 |
| Arctic Engines | 2 | 75.0% | 6,250 | 4 |
| Cota RoboticsSmall sample | 2 | 50.0% | 5,000 | 2 |
| DoorDash Labs | 2 | 70.0% | 5,800 | 10 |
| Havoc AISmall sample | 2 | 50.0% | 5,000 | 2 |
| Latitude AI | 2 | 83.3% | 7,222 | 6 |
| Monumental | 2 | 75.0% | 6,250 | 4 |
| Moove | 2 | 66.7% | 5,556 | 9 |
| Nimble Robotics | 2 | 66.7% | 5,556 | 3 |
| Nuro | 2 | 85.7% | 7,551 | 7 |
| RoboForceSmall sample | 2 | 50.0% | 5,000 | 2 |
| Scout AI | 2 | 80.0% | 6,800 | 5 |
| Shield AI | 2 | 75.0% | 6,250 | 4 |
| Skild AI | 2 | 75.0% | 6,250 | 4 |
| Skyports Drone Services | 2 | 66.7% | 5,556 | 3 |
| Torc Robotics | 2 | 66.7% | 5,556 | 3 |
| Tutor IntelligenceSmall sample | 2 | 50.0% | 5,000 | 2 |
| Waabi | 2 | 66.7% | 5,556 | 6 |
| Waymo | 2 | 60.0% | 5,200 | 5 |
| Wayve | 2 | 50.0% | 5,000 | 4 |
| Welo Data | 2 | 66.7% | 5,556 | 3 |
| 120ftSmall sample | 1 | 100.0% | 10,000 | 1 |
| AdexisSmall sample | 1 | 100.0% | 10,000 | 1 |
| Aerospace engineering firmSmall sample | 1 | 100.0% | 10,000 | 1 |
| AeroVect | 1 | 100.0% | 10,000 | 3 |
| Allen Control SystemsSmall sample | 1 | 100.0% | 10,000 | 1 |
| Ambi RoboticsSmall sample | 1 | 100.0% | 10,000 | 1 |
| Anduril Industries | 1 | 100.0% | 10,000 | 9 |
| AppenSmall sample | 1 | 100.0% | 10,000 | 1 |
| Aurora Innovation | 1 | 100.0% | 10,000 | 9 |
| BeepSmall sample | 1 | 100.0% | 10,000 | 2 |
| Bot AutoSmall sample | 1 | 100.0% | 10,000 | 2 |
| CHAOS IndustriesSmall sample | 1 | 100.0% | 10,000 | 1 |
| Claru | 1 | 100.0% | 10,000 | 16 |
| Collaborative Robotics | 1 | 100.0% | 10,000 | 5 |
| Coco Robotics | 1 | 100.0% | 10,000 | 4 |
| DexmateSmall sample | 1 | 100.0% | 10,000 | 2 |
| DexorySmall sample | 1 | 100.0% | 10,000 | 2 |
| DroydSmall sample | 1 | 100.0% | 10,000 | 1 |
| Enact IntelligenceSmall sample | 1 | 100.0% | 10,000 | 1 |
| Flexdrive (Lyft)Small sample | 1 | 100.0% | 10,000 | 1 |
| Foundation RoboticsSmall sample | 1 | 100.0% | 10,000 | 1 |
| FS Studio | 1 | 100.0% | 10,000 | 3 |
| Gatik | 1 | 100.0% | 10,000 | 11 |
| Gecko RoboticsSmall sample | 1 | 100.0% | 10,000 | 2 |
| Generalist AISmall sample | 1 | 100.0% | 10,000 | 1 |
| HumanoidSmall sample | 1 | 100.0% | 10,000 | 2 |
| InnodataSmall sample | 1 | 100.0% | 10,000 | 1 |
| InstaworkSmall sample | 1 | 100.0% | 10,000 | 2 |
| ISEE | 1 | 100.0% | 10,000 | 6 |
| Keywords StudiosSmall sample | 1 | 100.0% | 10,000 | 2 |
| Robot.com (Kiwibot) | 1 | 100.0% | 10,000 | 7 |
| Kodiak AI | 1 | 100.0% | 10,000 | 6 |
| MannaSmall sample | 1 | 100.0% | 10,000 | 1 |
| MatternetSmall sample | 1 | 100.0% | 10,000 | 1 |
| Maven RoboticsSmall sample | 1 | 100.0% | 10,000 | 1 |
| May MobilitySmall sample | 1 | 100.0% | 10,000 | 1 |
| Mind RoboticsSmall sample | 1 | 100.0% | 10,000 | 1 |
| Mindy SupportSmall sample | 1 | 100.0% | 10,000 | 1 |
| MotionalSmall sample | 1 | 100.0% | 10,000 | 2 |
| NerosSmall sample | 1 | 100.0% | 10,000 | 2 |
| NidusSmall sample | 1 | 100.0% | 10,000 | 1 |
| Performance Drone WorksSmall sample | 1 | 100.0% | 10,000 | 2 |
| Perle | 1 | 100.0% | 10,000 | 3 |
| Physical IntelligenceSmall sample | 1 | 100.0% | 10,000 | 1 |
| Pickle RobotSmall sample | 1 | 100.0% | 10,000 | 1 |
| PlusAISmall sample | 1 | 100.0% | 10,000 | 2 |
| ProntoSmall sample | 1 | 100.0% | 10,000 | 1 |
| PykaSmall sample | 1 | 100.0% | 10,000 | 1 |
| Reliable RoboticsSmall sample | 1 | 100.0% | 10,000 | 1 |
| Rhoda AISmall sample | 1 | 100.0% | 10,000 | 2 |
| Rugged RoboticsSmall sample | 1 | 100.0% | 10,000 | 1 |
| SaildroneSmall sample | 1 | 100.0% | 10,000 | 1 |
| SamaSmall sample | 1 | 100.0% | 10,000 | 1 |
| Saronic | 1 | 100.0% | 10,000 | 5 |
| SereactSmall sample | 1 | 100.0% | 10,000 | 2 |
| Serve Robotics | 1 | 100.0% | 10,000 | 16 |
| SkywaysSmall sample | 1 | 100.0% | 10,000 | 1 |
| Stack AVSmall sample | 1 | 100.0% | 10,000 | 2 |
| Starship TechnologiesSmall sample | 1 | 100.0% | 10,000 | 1 |
| Sunday RoboticsSmall sample | 1 | 100.0% | 10,000 | 2 |
| Symbotic | 1 | 100.0% | 10,000 | 11 |
| TelexistenceSmall sample | 1 | 100.0% | 10,000 | 1 |
| TELUS Digital AI CommunitySmall sample | 1 | 100.0% | 10,000 | 1 |
| Transdev | 1 | 100.0% | 10,000 | 25 |
| VaySmall sample | 1 | 100.0% | 10,000 | 1 |
| WingSmall sample | 1 | 100.0% | 10,000 | 1 |
| WorkstreamSmall sample | 1 | 100.0% | 10,000 | 1 |
| Zipline | 1 | 100.0% | 10,000 | 8 |
Base: 1,150 roles open on 31 Oct 2026.
Specialisation applies the same HHI to the kinds of work within one employer's openings; a score of 10,000 means every opening is the same kind.
A row with under 2.6 open roles carries a small-sample mark and is left unranked: under that count, the average across all rows says more than the row's own open roles do (a weight fitted on the counts themselves).
Credit: RobotTraining.jobs Research, Who Dominates Each Kind of Robot Training Work, October 2026 edition.
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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.
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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.
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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
Every day this site reads the public job boards of the robot training employers and programs it follows. A single database query produces each figure for the window shown, and the live page and every monthly edition run that identical query. The note under each figure gives its base.
- HHI
- Herfindahl-Hirschman Index: square each employer's percentage share of open roles and add them up. It runs from near 0 (lots of small employers) to 10,000 (a single employer). The US merger-guideline bands apply: below 1,500 is unconcentrated, 1,500 to 2,500 moderately concentrated, over 2,500 highly concentrated.
- Share
- On the window's final day, an employer's open roles in a kind of work divided by every open role in that kind.
- Like for like
- The change figure uses only employers followed since the window began, so an employer joining this dataset does not register as a shift in competition.
- Open role
- On a given day, a role that has been posted and still shows in the employer's feed.
- Kind of work
- A role's title and description place it in one of the seven kinds of robot training work this site follows, ranging from robot teleoperation and demonstration collection through egocentric capture, embodied-AI annotation, robot evaluation and fleet operations to AV and drone operation. Each kind has a page of its own.
- Coverage
- Which employers and programs RobotTraining.jobs reads in full, board by board, each day. Every figure notes how many boards went into it.
- Window
- Live page: the 28 most recent full days (UTC). Edition: a single calendar month (UTC).
Limits of this data
- Hiring that happens off public job boards is invisible here, and some data-collection programs sign people up inside an app instead of posting a job.
- A posting does not equal a hire. Certain employers leave evergreen roles up for months, and others post the same role once per city or country.
- Shares are of public listings, not of workers hired, hours worked or revenue; an employer posting one role per city weighs more here than its hiring may.
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 spans the 28 most recent full days and updates daily. Every finished month also gets its own edition, locked two days after month end, so a number quoted from it stays fixed.
- Live page28 most recent full days, rebuilt daily
- 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). Who Dominates Each Kind of Robot Training Work, October 2026 edition. https://robottraining.jobs/research/robot-training-market-concentration/2026-10
BibTeX
@misc{robottrainingjobs_robot_training_market_concentration_2026_10,
author = {{RobotTraining.jobs}},
title = {Who Dominates Each Kind of Robot Training Work, October 2026 edition},
year = {2026},
howpublished = {\url{https://robottraining.jobs/research/robot-training-market-concentration/2026-10}},
}Keep reading
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