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The Market for Embodied-AI Data Annotation Work

On 9 Oct 2026, 10 roles in Embodied-AI Data Annotation were open on 6 employers (micro1 listed 4 of them); 6 of them stated an hourly rate; each open role drew 11.36x the apply clicks of the average role.

Data window
12 Sep 2026 to 9 Oct 2026
28 days, UTC
Computed
10 Oct 2026, 22:21 UTC
Recomputed every day
Source
The public job boards of the robot training employers and programs this site tracks, read every day. Apply clicks are made on RobotTraining.jobs; full descriptions come from the employers whose boards publish them.
Method
Version 1. Definitions
CC BY 4.0, how to cite
Download all figures (CSV)JSON

Key findings

  1. 1

    Between the week of 14 Sep 2026 and the week of 28 Sep 2026, open roles in Embodied-AI Data Annotation on the employers tracked since 14 Sep 2026 went down 20.2%, from about 13 to 10, against -0.8% for all robot training work on the same employers.

    Figure 1
  2. 2

    6 employers listed the 10 open roles in Embodied-AI Data Annotation; micro1 held 4 of them and the three largest 7 (HHI 2,400, moderately concentrated, against 4,114 for all robot training work).

    Figure 3
  3. 3

    Each open role in Embodied-AI Data Annotation drew 0.80 apply clicks a week on RobotTraining.jobs, 11.36x the average robot training role: the highest of 3 kinds of work with enough clicks to rank.

    Figure 5
  4. 4

    3 of the 10 open roles in Embodied-AI Data Annotation accepted applicants from any country, against 0.8% of all robot training roles; of the 20 countries compared, residents of the United States (9), then 13 countries (4 each, among them Argentina and Australia) could apply to the most, and residents of 6 of the countries (among them Indonesia and Japan) to the fewest (3 each).

    Figure 8
  5. 5

    The words used most in the titles of open roles in Embodied-AI Data Annotation were Annotator or labeler (6), Specialist (5) and Operator (2), of 10 open roles.

    Figure 9
  6. 6

    Over the 28 days from 12 Sep 2026 to 9 Oct 2026, employers listed 3 new roles in Embodied-AI Data Annotation and removed 8.

    Figure 2

Figure 1

Open roles, week by week

Is the number of open roles in Embodied-AI Data Annotation rising or falling?

WeekOpen roles (fixed panel)Index
14 to 20 Sep
13
100.0
21 to 27 Sep
11
87.6
28 Sep to 4 Oct
10
79.8

Sample. Average open roles in Embodied-AI Data Annotation over each week's days, on the 38 employers tracked since 14 Sep 2026 (the fixed panel; 8 of them list this work), 14 Sep 2026 to 4 Oct 2026.

The index is the panel's open roles against the week of 14 Sep 2026 (100), beside the same index for all robot training work on the same employers.

Zipline (first tracked 21 Sep 2026) lists this work but was added to the dataset later, so it is left out of the panel and counted only in the last column: an employer's arrival never reads as growth.

Weeks with fewer than 10 open roles on the panel, or cut by the span, are marked.

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

Figure 2

Listings added and removed

How fast do roles in Embodied-AI Data Annotation turn over, and is the stock growing on the same employers?

WorkOpen on 12 Sep 2026Open on 9 Oct 2026, same employersChangeNew listings
Embodied-AI Data AnnotationSmall sample00
n/a
3
All robot training workSmall sample00
n/a
103

Sample. Roles listed from 12 Sep 2026 to 9 Oct 2026: 18 in Embodied-AI Data Annotation, 854 across all robot training work.

Change compares the roles open on the first and the last day of the window on the employers tracked when it opened, so an employer added during the window does not read as growth.

A new listing first appeared in the window on an employer already tracked before that week; an employer's first week (its back catalogue) is not counted.

Median days listed runs from a removed role's listing date to its last sighting, for removed roles with a known listing date (at least 10; 5 here).

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

Figure 3

Who lists it

Which employers list roles in Embodied-AI Data Annotation, and what does each advertise?

EmployerOpen rolesShare of open rolesMedian per hour
micro14
40.0%
n/a
Zipline2
20.0%
n/a
Dyna Robotics1
10.0%
n/a
Genesis AI1
10.0%
n/a
Nuro1
10.0%
n/a
Skild AI1
10.0%
n/a

Sample. 10 roles in Embodied-AI Data Annotation open at the end of 9 Oct 2026, by the employer that lists them: HHI 2,400 (moderately concentrated), against 4,114 for all robot training work.

HHI: the sum of every employer's squared percentage share of the open roles, 0 to 10,000; under 1,500 is unconcentrated, 1,500 to 2,500 moderately and above 2,500 highly concentrated (US merger-guideline thresholds).

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 median needs at least 8 roles stating an hourly rate.

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

Figure 4

What it pays

What do roles in Embodied-AI Data Annotation advertise per hour, against robot training work as a whole?

WorkMedian per hour25th percentile75th percentileStating an hourly rate
Embodied-AI Data AnnotationSmall sample
n/a
n/an/a60.0%
All robot training work
$26
$22$3214.6%

Sample. Roles open on 9 Oct 2026: 10 in Embodied-AI Data Annotation, 6 of them stating an hourly rate; 745 across all robot training work.

Pay is the hourly figure the posting advertises (the middle of a stated range). The middle half runs from the 25th to the 75th percentile.

Roles paid per task or per project, or that state no figure, do not state an hourly rate. A median needs at least 8 roles stating one.

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

Figure 5

Applicant demand per open role

Do roles in Embodied-AI Data Annotation draw more or fewer applicants per opening than the average robot training role?

RolesClicks per role a weekIndex
Embodied-AI Data Annotation
0.80
11.36x
All robot training work
0.07
1.00x
Its roles stating an hourly rateSmall sample
0.97
13.89x
Its roles stating no hourly rateSmall sample
0.50
7.16x
Its roles open worldwideSmall sample
2.35
33.55x
Its roles limited by countrySmall sample
0.40
5.64x

Sample. Apply clicks on a specific role on RobotTraining.jobs, from 12 Sep 2026 to 9 Oct 2026: 38 on roles in Embodied-AI Data Annotation, against the days those roles were open.

Clicks per role a week = apply clicks / (open role-days / 7). Index 1.00 is the rate of every role on the site.

Rows with fewer than 30 clicks or 3 roles open on an average day are marked as a small sample.

Apply clicks measure interest among visitors to RobotTraining.jobs, who see roles open in their country and recent, priced roles first. Clicks are never split by employer.

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

Figure 6

Applicant demand by listing age

Do newer roles in Embodied-AI Data Annotation draw more applicants than older ones?

Listing ageClicks per role a weekIndex (this work = 1)
Listed during the windowSmall sample
2.81
3.53x
Listed up to 4 weeks before itSmall sample
0.42
0.53x
Listed 4 to 12 weeks before itSmall sample
0.26
0.32x
Listed more than 12 weeks before itSmall sample
0.08
0.11x
Listing date unknownSmall sample
0.84
1.05x

Sample. Apply clicks on roles in Embodied-AI Data Annotation, from 12 Sep 2026 to 9 Oct 2026, by when each role was listed relative to the window's first day (12 Sep 2026).

Listing date: the date the job board gives for the posting, or else the first day the role appeared in the feed. A role that arrived with an employer's back catalogue and gives no date has none.

The index divides each row's rate by the rate of all roles in this kind of work, so it reads within the kind.

Rows with fewer than 30 clicks or 3 roles open on an average day are marked as a small sample.

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

Figure 7

Who may apply: location rules

Can people apply to roles in Embodied-AI Data Annotation from anywhere?

Location ruleOpen rolesShare of its open rolesAll robot training work
Open worldwide3
30.0%
0.8%
Worldwide except listed countries0
0.0%
0.0%
Only listed countries7
70.0%
99.2%
No rule stated0
0.0%
0.0%

Sample. 10 roles in Embodied-AI Data Annotation open at the end of 9 Oct 2026, against 745 across all robot training work.

The rule is read from each posting's location text and, where the posting is silent, from what the employer states about where it hires.

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

Figure 8

Who may apply: roles open to each country

How many roles in Embodied-AI Data Annotation can a resident of each country apply to?

CountryOpen rolesShare of its open roles
Any country (worldwide roles only)
3
30.0%
United States
9
90.0%
Argentina
4
40.0%
Australia
4
40.0%
Brazil
4
40.0%
Canada
4
40.0%
Colombia
4
40.0%
Germany
4
40.0%
Spain
4
40.0%
France
4
40.0%
United Kingdom
4
40.0%
India
4
40.0%
Italy
4
40.0%
Mexico
4
40.0%
Netherlands
4
40.0%
Indonesia
3
30.0%
Japan
3
30.0%
Malaysia
3
30.0%
Philippines
3
30.0%
Pakistan
3
30.0%
South Africa
3
30.0%

Sample. 10 roles in Embodied-AI Data Annotation open at the end of 9 Oct 2026, for residents of a fixed set of 20 countries.

A country's count is the roles open worldwide, plus roles whose list names it, plus roles whose exclusion list does not. Roles with no rule stated count for no country.

The 20 countries are the same in every report of this series: those named most often by the location rules of open robot training roles on 9 Oct 2026, either as the only countries accepted or as excluded.

Median pay is over the roles open to that country that state an hourly rate (at least 8).

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

Figure 9

What the roles are called

What are roles in Embodied-AI Data Annotation called: operator, annotator, technician or specialist?

Title wordOpen rolesShare of its open roles
Annotator or labeler
6
60.0%
Specialist
5
50.0%
Operator
2
20.0%
Test or evaluation operator
2
20.0%
Trainer
1
10.0%

Sample. 10 of the 10 roles in Embodied-AI Data Annotation open on 9 Oct 2026 name one of these words in their title (100.0%); 5 title words are named.

A title can use several of these words ('Robot Teleoperator') and counts for each. The vocabulary is that of the job-titles report.

Median pay needs at least 8 roles stating an hourly rate.

Source. RobotTraining.jobs Research, The Market for Embodied-AI Data Annotation Work, live data.

CSV

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Method and definitions

The public job boards of the robot training employers and programs this site tracks, read every day. Apply clicks are made on RobotTraining.jobs; full descriptions come from the employers whose boards publish them. Every figure is computed by one database query over the window shown, the same query for the live report and for every edition. Each figure states its sample beneath it.

Kind of work
Each role is classified from its title and description into one of the seven kinds of robot training work this site tracks; this report counts the roles classified as Embodied-AI Data Annotation.
Fixed panel
The employers already tracked when the weekly series opens. The index follows their open roles, so an employer added later never reads as growth.
Index
The panel's average open roles in a week, divided by the same in the base week, times 100; shown beside the same index for all robot training work at the same employers.
Open role
A role listed by a given day and still in its employer's feed that day.
New listing
A role that first appeared during the window at an employer already tracked before that week. An employer's first week in this dataset is its back catalogue and is not counted as new.
Removed listing
A role that left its employer's feed during the window.
Days listed
From a removed role's listing date to the last day it was seen in its feed. A median needs at least 10 removed roles.
HHI
Herfindahl-Hirschman Index: the sum of every employer's squared percentage share of open roles, 0 to 10,000. Under 1,500 unconcentrated, 1,500 to 2,500 moderately, above 2,500 highly concentrated.
Advertised pay
The hourly figure a posting states (the middle of a stated range). Medians need at least 8 roles stating a rate; the middle half runs from the 25th to the 75th percentile.
Clicks per open role a week
Apply clicks on RobotTraining.jobs on a specific role, divided by the days the roles were open, times 7.
Demand index
Clicks per open role a week divided by the same rate across every role on the site. Above 1, the roles draw more applicants than the average role.
Listing age
When a role was listed relative to the window's first day: during the window, up to 4 weeks before it, 4 to 12 weeks before or longer. The listing date is the job board's posting date, or else the first day the role appeared in the feed.
Location rule
Read from each posting's location text: open worldwide, worldwide except listed countries, only listed countries, or no rule stated.
Open to a country
A role is open to residents of a country if it is open worldwide, its list names the country, or its exclusion list does not. The 20 countries compared are the same in every report of the series.
Window
Live: the last 28 complete days, in UTC, and the last twelve complete ISO weeks (from the week of 14 Sep 2026 at the earliest) for the weekly series. Edition: one calendar month, in UTC, and its weeks.

What this data cannot tell you

  • Employers that recruit without a public job board are not counted, and some data-collection programs enrol people through an app rather than a job listing.
  • A listing is not a hire. Some employers keep evergreen roles open for months, and some post one listing per city or country.
  • Apply clicks measure interest among the people who use RobotTraining.jobs, and what is shown first gets clicked more. Clicks are never published by employer.
  • The requirements figure appears only when at least 10 roles of this kind are described.
  • A kind of work with few open roles gives figures that move with a handful of postings: rows on too little data are marked as a small sample.

How the job feeds are read and roles are classified: site methodology. How fresh, complete and consistent the data is, checked every day: data quality and coverage.

Editions

The live report covers the last 28 complete days and changes every day. Each complete month is also published as an edition, frozen two days after the month ends, so a figure you cite from an edition never moves.

  • Live dataLast 28 complete days, recomputed daily

Cite and reuse

Free to quote, chart and republish under CC BY 4.0 with a link to this page. Live figures change daily: cite a monthly edition for numbers that will read the same later, or keep the access date.

Citation

RobotTraining.jobs (2026). The Market for Embodied-AI Data Annotation Work (live data, 12 Sep 2026 to 9 Oct 2026). https://robottraining.jobs/research/embodied-ai-data-annotation-market (accessed 10 Oct 2026)

BibTeX

@misc{robottrainingjobs_embodied_ai_data_annotation_market_live,
  author = {{RobotTraining.jobs}},
  title = {The Market for Embodied-AI Data Annotation Work (live data, 12 Sep 2026 to 9 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://robottraining.jobs/research/embodied-ai-data-annotation-market}},
  note = {Accessed 10 Oct 2026},
}

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