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Research report ยท October 2026 edition

The Market for Robotics & Physical-AI Data Work

On 31 Oct 2026, 100 roles in Robotics & Physical-AI Data were open on 14 platforms (Claru listed 40 of them (40.0%)); their median advertised rate was $10/hr, 75% below the $40/hr of all AI training work; each open role drew 0.30x the apply clicks of the average role.

Read the month's story: The AI Training Job Market in October 2026

Provisional figures. This month is complete, but late data can still arrive until 3 Nov 2026, when the edition is frozen for good.

Data window
1 Oct 2026 to 31 Oct 2026
31 days, UTC
Computed
1 Nov 2026, 01:17 UTC
Final once frozen
Source
The public job boards of the AI training platforms this site tracks, read every hour. Apply clicks are made on AITraining.jobs; full descriptions come from the platforms whose boards publish them.
Method
Version 5. Definitions
CC BY 4.0, how to cite

Every figure on this page as CSV and JSON, sent to your work email.

Key findings

  1. 1

    Between the week of 5 Oct 2026 and the week of 19 Oct 2026, open roles in Robotics & Physical-AI Data on the platforms tracked since 1 Oct 2026 went down 63.8%, from about 36 to 13, like for like across the changes in how this site reads some of their boards, against -3.1% for all AI training work on the same platforms; platforms first tracked later, left out of this panel, listed about 58 more in the week of 19 Oct 2026.

    Figure 1
  2. 2

    14 platforms listed the 100 open roles in Robotics & Physical-AI Data; Claru held 40 of them (40.0%) and the three largest 78 (78.0%) (HHI 2,628, highly concentrated, against 522 for all AI training work).

    Figure 3
  3. 3

    61 of the 100 open roles in Robotics & Physical-AI Data (61.0%) stated an hourly rate, with a median of $10/hr (typical pay $7 to $35), 75% below the $40/hr of all AI training work.

    Figure 4
  4. 4

    Each open role in Robotics & Physical-AI Data drew 1.04 apply clicks a week on AITraining.jobs, 0.30x the average AI training role: the 2nd lowest of 12 kinds of work whose demand reads on its own.

    Figure 6
  5. 5

    5 of the 100 open roles in Robotics & Physical-AI Data (5.0%) accepted applicants from any country, against 18.5% of all AI training roles; of the 20 countries compared, residents of the United States (65), Brazil (26) and Colombia (25) could apply to the most, and residents of 7 of the countries (among them Bangladesh and the United Kingdom) to the fewest (11 each).

    Figure 9
  6. 6

    The words used most in the titles of open roles in Robotics & Physical-AI Data were Contributor or participant (12), Expert or SME (4) and Annotator or labeler (2), of 100 open roles.

    Figure 10
  7. 7

    Of the 84 open roles in Robotics & Physical-AI Data with a full description, none mention a PhD or master's degree, 1 (1.2%) a professional credential and none an assessment or test.

    Figure 11
  8. 8

    Over the 31 days from 1 Oct 2026 to 31 Oct 2026, open roles in Robotics & Physical-AI Data on the platforms tracked at its start went up 121.5% (30 to 66, like for like across the changes in how this site reads some of their boards): platforms listed 56 new roles and removed 47, and a removed role had been listed for a median of 51 days (30 across all AI training work).

    Figure 2

Figure 1

Open roles, week by week

Is the number of open roles in Robotics & Physical-AI Data rising or falling?

WeekOpen roles (fixed panel)Index
1 to 4 OctPartial week
30
83.3
5 to 11 Oct
36
100.0
12 to 18 Oct
18
48.6
19 to 25 Oct
12
36.2
26 to 31 OctPartial week
33
98.3

Sample. Average open roles in Robotics & Physical-AI Data over each week's days, on the 18 platforms tracked since 1 Oct 2026 (the fixed panel; 8 of them list this work), 1 Oct 2026 to 31 Oct 2026.

The index is the panel's open roles against the week of 5 Oct 2026 (100), chained week to week, beside the same index for all AI training work on the same platforms.

This site changed how it reads 4 platforms' boards in this span (Alignerr on 14 Oct 2026; Mindrift on 14 Oct 2026 and 22 Oct 2026; OpenTrain AI on 14 Oct 2026; Handshake AI on 14 Oct 2026). From each change to the end of its week the roles that came into view are counted as already listed, not as new listings, and the roles that left view are not counted as removals; changes in open roles are measured like for like across it, on the roles that did not move with it. Each platform's own report says what changed.

Perle Labs (first tracked 10 Oct 2026), RemoExperts (first tracked 10 Oct 2026), Sovrano AI (first tracked 11 Oct 2026), OneForma (first tracked 14 Oct 2026), Claru (first tracked 14 Oct 2026), Weekday (first tracked 18 Oct 2026), Innodata (first tracked 18 Oct 2026), Lifted (Upwork) (first tracked 18 Oct 2026), TELUS Digital AI (first tracked 22 Oct 2026), DATAmundi (first tracked 22 Oct 2026), Shaip (Collaborate by Shaip) (first tracked 22 Oct 2026) and Sama (first tracked 22 Oct 2026) list this work but were added to the dataset later, so they are left out of the panel and counted only in the last column: a platform's arrival never reads as growth.

Weeks cut by the span, or with fewer than 2.4 open roles on the panel (the weight of the rest of AI training work's change, fitted on the two: below it the market's movement says more than the kind's own roles), are marked.

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 2

Listings added and removed

How fast do roles in Robotics & Physical-AI Data turn over, and is the stock growing on the same platforms?

WorkOpen on 1 Oct 2026Open on 31 Oct 2026, same platformsChangeNew listings
Robotics & Physical-AI Data3066
+121.5%
56
All AI training work2,6652,554
-4.2%
1,638

Sample. Roles listed from 1 Oct 2026 to 31 Oct 2026: 153 in Robotics & Physical-AI Data, 7,396 across all AI training work.

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

The kind's change reads on its own (not marked) from 2.6 roles open at the start: the weight of the rest of AI training work's change, fitted on the two.

A new listing first appeared in the window on a platform already tracked before that week; a platform'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 3; 45 here).

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 3

Who lists it

Which platforms list roles in Robotics & Physical-AI Data, and what does each advertise?

PlatformOpen rolesShare of open rolesMedian per hour
Claru40
40.0%
$8
Mindrift30
30.0%
n/a
micro18
8.0%
$20
Welo Data5
5.0%
$35
TELUS Digital AI4
4.0%
$35
OneForma3
3.0%
n/a
Lifted (Upwork)2
2.0%
n/a
TransPerfect DataForce2
2.0%
n/a
Alignerr1
1.0%
n/a
Appen1
1.0%
n/a
Handshake AI1
1.0%
n/a
Innodata1
1.0%
n/a
Perle Labs1
1.0%
n/a
Sama1
1.0%
n/a

Sample. 100 roles in Robotics & Physical-AI Data open at the end of 31 Oct 2026, by the platform that lists them: HHI 2,628 (highly concentrated), against 522 for all AI training work.

HHI: the sum of every platform'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: a platform posting one role per language or country weighs more here than its hiring may.

A median needs at least 3 roles stating an hourly rate.

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 4

What it pays

What do roles in Robotics & Physical-AI Data advertise per hour, against AI training work as a whole?

WorkMedian per hourTypical pay fromTypical pay toStating an hourly rate
Robotics & Physical-AI Data
$10
$7$3561.0%
All AI training work
$40
$30$12581.4%

Sample. Roles open on 31 Oct 2026: 100 in Robotics & Physical-AI Data, 61 of them stating an hourly rate; 4,381 across all AI training work.

Pay is the hourly figure a posting advertises (the middle of a stated range), counted once per distinct rate as the job board counts it. The median and typical pay are the board's: typical pay runs from the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling, stated from 3 distinct rates.

Roles paid per task or per project, or that state no figure, do not state an hourly rate.

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 5

How its rates are distributed

What share of roles in Robotics & Physical-AI Data pay $50 an hour or more?

Advertised rateOpen rolesShare of priced rolesAll AI training work
Under $15/hr37
60.7%
6.9%
$15 to $25/hr16
26.2%
10.6%
$25 to $35/hr2
3.3%
11.9%
$35 to $50/hr3
4.9%
26.0%
$50 to $75/hr1
1.6%
14.7%
$75 to $100/hr1
1.6%
15.3%
$100 to $150/hr1
1.6%
9.4%
$150/hr or more0
0.0%
5.1%

Sample. 61 roles in Robotics & Physical-AI Data open on 31 Oct 2026 that state an hourly rate, against 3,565 across all AI training work.

Each role counts once, at the middle of its advertised range. The bands are those of the pay-transparency report.

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 6

Applicant demand per open role

Do roles in Robotics & Physical-AI Data draw more or fewer applicants per opening than the average AI training role?

RolesClicks per role a weekIndex
Robotics & Physical-AI Data
1.04
0.30x
All AI training work
3.41
1.00x
Its roles stating an hourly rate
1.14
0.33x
Its roles stating no hourly rate
0.39
0.11x
Its roles open worldwide
10.64
3.12x
Its roles limited by country
0.43
0.13x

Sample. Apply clicks on a specific role on AITraining.jobs, from 1 Oct 2026 to 31 Oct 2026: 267 on roles in Robotics & Physical-AI Data, 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.

Robotics & Physical-AI Data against every kind of work: Rows with fewer than 3.6 open role-days (0.5 role-weeks) are marked as a small sample and not ranked: below that the pooled rate of the kinds of work weighs more than a row's own clicks (the weight fitted on their own clicks).

Its roles by stated pay, against each other: Rows with fewer than 22.9 open role-days (3.3 role-weeks) are marked as a small sample and not ranked: below that the pooled rate of the two sides weighs more than a row's own clicks (the weight fitted on their own clicks). Its roles by reach, against each other: Rows with fewer than 1.4 open role-days (0.2 role-weeks) are marked as a small sample and not ranked: below that the pooled rate of the two sides weighs more than a row's own clicks (the weight fitted on their own clicks). All AI training work is one set, read from its first open role-day.

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

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 7

Applicant demand by listing age

Do newer roles in Robotics & Physical-AI Data draw more applicants than older ones?

Listing ageClicks per role a weekIndex (this work = 1)
Listed during the window
1.12
1.07x
Listed up to 4 weeks before it
0.73
0.70x
Listed 4 to 12 weeks before it
4.72
4.54x
Listed more than 12 weeks before it
0.02
0.02x
Listing date unknown
0.00
0.00x

Sample. Apply clicks on roles in Robotics & Physical-AI Data, from 1 Oct 2026 to 31 Oct 2026, by when each role was listed relative to the window's first day (1 Oct 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 a platform'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 2.6 open role-days (0.4 role-weeks) are marked as a small sample and not ranked: below that the pooled rate of the listing ages weighs more than a row's own clicks (the weight fitted on their own clicks).

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 8

Who may apply: location rules

Can people apply to roles in Robotics & Physical-AI Data from anywhere?

Location ruleOpen rolesShare of its open rolesAll AI training work
Open worldwide5
5.0%
18.5%
Worldwide except listed countries6
6.0%
18.1%
Only listed countries89
89.0%
63.0%
No rule stated0
0.0%
0.4%

Sample. 100 roles in Robotics & Physical-AI Data open at the end of 31 Oct 2026, against 4,381 across all AI training work.

The rule is read from each posting's location text, then, where that names no country, from what the posting's own description states, and where both are silent from what the platform states about where it hires.

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 9

Who may apply: roles open to each country

How many roles in Robotics & Physical-AI Data can a resident of each country apply to?

CountryOpen rolesShare of its open roles
Any country (worldwide roles only)
5
5.0%
United States
65
65.0%
Brazil
26
26.0%
Colombia
25
25.0%
Argentina
24
24.0%
Chile
24
24.0%
Indonesia
24
24.0%
India
24
24.0%
Philippines
23
23.0%
Egypt
15
15.0%
Japan
13
13.0%
Germany
12
12.0%
South Korea
12
12.0%
Saudi Arabia
12
12.0%
Bangladesh
11
11.0%
United Kingdom
11
11.0%
Ghana
11
11.0%
Cambodia
11
11.0%
Nigeria
11
11.0%
Pakistan
11
11.0%
Palestine
11
11.0%

Sample. 100 roles in Robotics & Physical-AI Data open at the end of 31 Oct 2026, for residents of a fixed set of 20 countries.

A country's count is the roles open worldwide (including roles that state no rule, as on the job board), plus roles whose list names it, plus roles whose exclusion list does not.

The 20 countries are the same in every report of this series: those named most often by the location rules of open AI 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 3).

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 10

What the roles are called

What are roles in Robotics & Physical-AI Data called: annotator, evaluator, expert or trainer?

Title wordOpen rolesShare of its open roles
Contributor or participant
12
12.0%
Expert or SME
4
4.0%
Annotator or labeler
2
2.0%
Specialist
2
2.0%
Engineer or developer
1
1.0%
Lead or manager
1
1.0%
Red teamer or tester
1
1.0%

Sample. 21 of the 100 roles in Robotics & Physical-AI Data open on 31 Oct 2026 name one of these words in their title (21.0%); 7 title words are named.

A title can use several of these words ('Expert AI Trainer') and counts for each. The vocabularies are those of the job-titles, languages and expert-fields reports.

Median pay needs at least 3 roles stating an hourly rate.

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

Figure 11

What the descriptions ask for

Do roles in Robotics & Physical-AI Data ask for degrees, credentials, experience or tests?

RequirementRolesShare of described roles
Mentions a PhD0
0.0%
Mentions a PhD or master's0
0.0%
Mentions any degree3
3.6%
Mentions a professional credential1
1.2%
States years of experience1
1.2%
Asks for 5 years or more1
1.2%
States weekly hours1
1.2%
Mentions an assessment or test0
0.0%
Mentions an AI-led or video interview0
0.0%
Mentions a background check0
0.0%

Sample. 84 roles in Robotics & Physical-AI Data open on 31 Oct 2026 whose job board publishes a full description (Appen, Claru, Handshake AI, Innodata, Lifted (Upwork), micro1, Mindrift, OneForma, Perle Labs, Sama, TELUS Digital AI, TransPerfect DataForce and Welo Data), 84.0% of its open roles; 4,000 described roles across all AI training work.

A mention can be a requirement or a preference ('a PhD is a plus'): the figure counts both. The patterns are those of the requirements report.

Only some platforms publish full descriptions, so this figure describes their roles, not every platform's.

A kind of work's figure is shown when its described roles outweigh the average of the kinds (5.8 described roles: the weight of every kind's shares around the shares of all described roles, fitted on their own counts).

Source. AITraining.jobs Research, The Market for Robotics & Physical-AI Data Work, October 2026 edition.

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Method and definitions

The public job boards of the AI training platforms this site tracks, read every hour. Apply clicks are made on AITraining.jobs; full descriptions come from the platforms 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 twelve kinds of AI training work this site tracks; this report counts the roles classified as Robotics & Physical-AI Data.
Fixed panel
The platforms already tracked when the weekly series opens. The index follows their open roles, so a platform added later (such as OpenTrain AI and Welo Data in September 2026) 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 AI training work on the same platforms.
Open role
A role listed by a given day and still in its platform's feed that day.
New listing
A role that first appeared during the window on a platform already tracked before that week. A platform's first week in this dataset is its back catalogue and is not counted as new. When this site changes how it reads a platform's board (a cap lifted, a page kind or department read too, a relevance rule changed), the roles that came into view or left it from that change to the end of its week are this site's reading, not the platform's hiring: they are not new listings or removals, and changes in open roles are measured like for like across it. Each platform's report says what changed.
Removed listing
A role that left its platform'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 3 removed roles.
HHI
Herfindahl-Hirschman Index: the sum of every platform'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), counted once per distinct rate as the job board counts it. The median and typical pay are the board's: typical pay runs from the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling, stated from 3 distinct rates.
Clicks per open role a week
Apply clicks on AITraining.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 and, where that names no country, from what the posting's own description states: 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 3 Aug 2026 at the earliest) for the weekly series. Edition: one calendar month, in UTC, and its weeks.

What this data cannot tell you

  • Platforms that recruit without a public job board are not counted. Several large ones invite workers to projects directly.
  • A listing is not a hire. Some platforms keep evergreen roles open for months, and some post one listing per language or country.
  • Apply clicks measure interest among the people who use AITraining.jobs, and what is shown first gets clicked more. Clicks are never published by platform.
  • Full descriptions are published by a few platforms only, so the requirements figure describes their roles and appears only when this kind's described roles read on their own against the other kinds' (the weight of every kind's shares around the shares of all described roles, fitted on their own counts).
  • 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.

Cite and reuse

Free to quote, chart and republish under CC BY 4.0 with a link to this page. This edition is frozen, so its figures will read the same later.

Citation

AITraining.jobs (2026). The Market for Robotics & Physical-AI Data Work, October 2026 edition. https://aitraining.jobs/research/robotics-physical-ai-data-market/2026-10

BibTeX

@misc{aitrainingjobs_robotics_physical_ai_data_market_2026_10,
  author = {{AITraining.jobs}},
  title = {The Market for Robotics & Physical-AI Data Work, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/robotics-physical-ai-data-market/2026-10}},
}
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