What the data shows
- 1
Among the professional fields at the 54 employers followed for the whole span, Engineering (non-software) added jobs fastest, with open jobs at roughly 11 in the week of 5 Oct 2026 and 26 by the week of 19 Oct 2026 (+135.1%), while 26 new jobs came from 1 employer; the steepest fall was in Software and IT (-26.9%).
- 2
Between the week of 5 Oct 2026 and the week of 19 Oct 2026, at the 54 employers followed for the whole span, 2 groups received new jobs in the final 1 weeks having had none in the opening 2 (Engineering (non-software) and Finance and accounting), 3 went without any in the final 1 after earlier postings (Robot Fleet Operations, Software and IT and Data & Demonstration Collection); no group showed up among or dropped out of the open jobs.
Figure 1
Professional fields gaining the most jobs
When a robot training job title names a profession, which professions are employers adding jobs for?
| Professional field | Open jobs, change | Open, week of 5 Oct | Open, week of 19 Oct | New jobs a week, latest 1 week against prior 1 | ||
|---|---|---|---|---|---|---|
| All roles | +1.6% | 713 | 724 | 97 | +425.0% | 21 |
| Engineering (non-software) | +135.1% | 11 | 26 | 26 | n/a | 1 |
| Business and management | -2.7% | 47 | 46 | 9 | +400.0% | 5 |
| Software and IT | -26.9% | 11 | 8 | 2 | n/a | 1 |
| Finance and accountingSmall sample | n/a | 0 | 0 | 1 | n/a | 1 |
Base: Jobs at the 54 employers followed for the whole span, across 3 full ISO weeks, starting the week of 5 Oct 2026 and ending the week of 19 Oct 2026; 4 professional fields found in job titles.
Open jobs: how many were listed on an average day of the week (read at 00:00 UTC), counting the 54 employers followed for the whole span. Employers that joined the dataset later (56 here) are kept out of all weeks, so adding one cannot look like a hiring rise.
Change: open jobs in the final full week divided by open jobs in the opening one, given as a percentage. A row with under 4.4 open jobs in the opening week 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 jobs in the opening week do (a weight fitted on the counts themselves).
New jobs a week, latest 1 week against prior 1: the weekly rate of new jobs in the second half of the full weeks set against the first half (1 weeks per half); given only where the earlier weeks carry 1 or more new jobs, which is how much the shared pace of all professional fields weighs when fitted on their own counts (with fewer, that shared pace would say more than the group's own). A job counts as new in the week it is first spotted, provided its employer had already been tracked for more than a week.
A job falls under a professional field when its title mentions it as a whole word (matched against a fixed word list), and under every one it mentions.
Credit: RobotTraining.jobs Research, Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition.
Figure 2
Languages gaining the most jobs
For which languages are robot training employers opening more jobs?
| Language | Open jobs, change | Open, week of 5 Oct | Open, week of 19 Oct | New jobs a week, latest 1 week against prior 1 | ||
|---|---|---|---|---|---|---|
| All roles | +1.6% | 713 | 724 | 97 | +425.0% | 21 |
Base: Jobs at the 54 employers followed for the whole span, across 3 full ISO weeks, starting the week of 5 Oct 2026 and ending the week of 19 Oct 2026; 0 languages found in job titles.
Open jobs: how many were listed on an average day of the week (read at 00:00 UTC), counting the 54 employers followed for the whole span. Employers that joined the dataset later (56 here) are kept out of all weeks, so adding one cannot look like a hiring rise.
Change: open jobs in the final full week divided by open jobs in the opening one, given as a percentage. None of the rows with open jobs in the opening week carries a small-sample mark: they vary so widely that each one stands on its own from the first.
New jobs a week, latest 1 week against prior 1: the weekly rate of new jobs in the second half of the full weeks set against the first half (1 weeks per half); given only where the earlier weeks carry 1 or more new jobs, which is how much the shared pace of all languages weighs when fitted on their own counts (with fewer, that shared pace would say more than the group's own). A job counts as new in the week it is first spotted, provided its employer had already been tracked for more than a week.
A job falls under a language when its title mentions it as a whole word (matched against a fixed word list), and under every one it mentions.
Credit: RobotTraining.jobs Research, Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition.
Figure 3
Kinds of work gaining the most jobs
Which kinds of robot training work, from teleoperation to test driving, are employers adding the most jobs in?
| Kind of work | Open jobs, change | Open, week of 5 Oct | Open, week of 19 Oct | New jobs a week, latest 1 week against prior 1 | ||
|---|---|---|---|---|---|---|
| All roles | +1.6% | 713 | 724 | 97 | +425.0% | 21 |
| AV & Drone OperatorsSmall sample | +7.4% | 350 | 376 | 68 | +1,033.3% | 14 |
| Robot Fleet OperationsSmall sample | +1.8% | 105 | 107 | 12 | -100.0% | 6 |
| Robot TeleoperationSmall sample | -2.7% | 64 | 62 | 5 | +200.0% | 3 |
| Egocentric & Wearable CaptureSmall sample | -4.1% | 108 | 103 | 7 | n/a | 2 |
| Data & Demonstration CollectionSmall sample | -6.4% | 65 | 61 | 1 | n/a | 1 |
| Embodied-AI Data AnnotationSmall sample | -20.6% | 10 | 8 | 4 | -50.0% | 2 |
| Robot Task Evaluation & QASmall sample | -35.1% | 11 | 7 | 0 | n/a | 0 |
Base: Jobs at the 54 employers followed for the whole span, across 3 full ISO weeks, starting the week of 5 Oct 2026 and ending the week of 19 Oct 2026; 7 kinds of work.
Open jobs: how many were listed on an average day of the week (read at 00:00 UTC), counting the 54 employers followed for the whole span. Employers that joined the dataset later (56 here) are kept out of all weeks, so adding one cannot look like a hiring rise.
Change: open jobs in the final full week divided by open jobs in the opening one, given as a percentage. All rows carry a small-sample mark and none is ranked: they vary no more than chance would make them vary, so no single row stands on its own.
New jobs a week, latest 1 week against prior 1: the weekly rate of new jobs in the second half of the full weeks set against the first half (1 weeks per half); given only where the earlier weeks carry 1 or more new jobs, which is how much the shared pace of all kinds of work weighs when fitted on their own counts (with fewer, that shared pace would say more than the group's own). A job counts as new in the week it is first spotted, provided its employer had already been tracked for more than a week.
Each job carries exactly one kind of work.
Credit: RobotTraining.jobs Research, Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition.
Figure 4
Jobs posted each week, by professional field
How many new jobs did employers post each week in the biggest professional fields?
| Professional field | 5 Oct | 12 Oct | 19 Oct | Total |
|---|---|---|---|---|
| Engineering (non-software)Small sample | 0 | 0 | 26 | 26 |
| Business and management | 3 | 1 | 5 | 9 |
| Software and ITSmall sample | 2 | 0 | 0 | 2 |
| Finance and accountingSmall sample | 0 | 0 | 1 | 1 |
Base: Jobs newly posted at the 54 employers followed for the whole span in each ISO week (Monday through Sunday, UTC), across 3 full ISO weeks, starting the week of 5 Oct 2026 and ending the week of 19 Oct 2026: the 4 professional fields with the largest totals.
Each column is a week, labelled by its Monday. The jobs an employer already had up when tracking began (its first week here) are never counted as new.
A batch of jobs from a single employer turns one week dark; the growth table shows how many employers actually posted in each group.
Rows whose week-to-week swings are too thin to stand alone get the small-sample mark, by the rule of the pace column in the growth table: given only where the earlier weeks carry 1 or more new jobs, which is how much the shared pace of all professional fields weighs when fitted on their own counts (with fewer, that shared pace would say more than the group's own).
Credit: RobotTraining.jobs Research, Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition.
Figure 5
Jobs posted each week, by language
How many new jobs naming each of the most requested languages appeared each week?
Nothing to show for this window.
Base: Jobs newly posted at the 54 employers followed for the whole span in each ISO week (Monday through Sunday, UTC), across 3 full ISO weeks, starting the week of 5 Oct 2026 and ending the week of 19 Oct 2026: the 0 languages with the largest totals.
Each column is a week, labelled by its Monday. The jobs an employer already had up when tracking began (its first week here) are never counted as new.
A batch of jobs from a single employer turns one week dark; the growth table shows how many employers actually posted in each group.
Rows whose week-to-week swings are too thin to stand alone get the small-sample mark, by the rule of the pace column in the growth table: given only where the earlier weeks carry 1 or more new jobs, which is how much the shared pace of all languages weighs when fitted on their own counts (with fewer, that shared pace would say more than the group's own).
Credit: RobotTraining.jobs Research, Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition.
Figure 6
Jobs posted each week, by kind of work
How many new jobs did employers post each week in the biggest kinds of robot training work?
| Kind of work | 5 Oct | 12 Oct | 19 Oct | Total |
|---|---|---|---|---|
| AV & Drone Operators | 31 | 3 | 34 | 68 |
| Robot Fleet Operations | 10 | 2 | 0 | 12 |
| Egocentric & Wearable CaptureSmall sample | 3 | 0 | 4 | 7 |
| Robot Teleoperation | 1 | 1 | 3 | 5 |
| Embodied-AI Data Annotation | 1 | 2 | 1 | 4 |
| Data & Demonstration CollectionSmall sample | 1 | 0 | 0 | 1 |
Base: Jobs newly posted at the 54 employers followed for the whole span in each ISO week (Monday through Sunday, UTC), across 3 full ISO weeks, starting the week of 5 Oct 2026 and ending the week of 19 Oct 2026: the 6 kinds of work with the largest totals.
Each column is a week, labelled by its Monday. The jobs an employer already had up when tracking began (its first week here) are never counted as new.
A batch of jobs from a single employer turns one week dark; the growth table shows how many employers actually posted in each group.
Rows whose week-to-week swings are too thin to stand alone get the small-sample mark, by the rule of the pace column in the growth table: given only where the earlier weeks carry 1 or more new jobs, which is how much the shared pace of all kinds of work weighs when fitted on their own counts (with fewer, that shared pace would say more than the group's own).
Credit: RobotTraining.jobs Research, Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition.
Figure 7
Groups that turned up or dropped out
Which kinds of work, languages and professional fields began or ceased hiring during these weeks?
| Group | Status | New jobs, opening 2 weeks | New jobs, final 1 weeks | |||
|---|---|---|---|---|---|---|
| Engineering (non-software) | Professional field | New jobs started | 11.0 | 25.9 | 0 | 26 |
| Finance and accounting | Professional field | New jobs started | 0.0 | 0.1 | 0 | 1 |
| Robot Fleet Operations | Kind of work | New jobs dried up | 104.9 | 106.7 | 12 | 0 |
| Software and IT | Professional field | New jobs dried up | 11.1 | 8.1 | 2 | 0 |
| Data & Demonstration Collection | Kind of work | New jobs dried up | 65.1 | 61.0 | 1 | 0 |
Base: All kinds of work, languages and professional fields at the 54 employers followed for the whole span, across 3 full ISO weeks, starting the week of 5 Oct 2026 and ending the week of 19 Oct 2026.
Appeared: zero open jobs on every day of the opening week, then an average of one or more in the final week. Vanished: the opposite.
New jobs started: nothing new posted in the opening 2 weeks, then one or more in the final 1. Dried up: the opposite. Employers often leave a job up for months, so new postings in a group can stop while its count of open jobs holds steady.
The small-sample mark goes on a row when the measure that moved (open jobs for a group that appeared or vanished, new postings for the rest) weighs less than its family's typical change in that measure, fitted on the family's own counts as the growth tables explain: a posting or two is enough to make a group show up or disappear.
Credit: RobotTraining.jobs Research, Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition.
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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.
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Funding, revenue, deals, fleets, deployments and prices across the robot training industry, each record linked to the publication it comes from.
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Every robot training role we track: title, employer, place, kind of work, pay as stated, and the days it was first and last open.
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New and closed roles every week or month, as file drops or through the data endpoints.
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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. Titles supply the professions and languages; apply clicks play no part. 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.
- Fixed panel
- Only employers this site had already followed for a full week when the first counted week began. A newly added employer, or the old roles its board shows in its first days here, cannot pass for growth.
- Open roles in a week
- How many of the group's roles were listed, averaged over the week's days (counted at 00:00 UTC), at the panel's employers.
- Change
- Open roles in the latest full week set against the first, in percent. A group's change stands on its own only when its first-week open roles carry at least the weight of its family's average change, fitted on that family's own counts; smaller groups are tagged as small samples and left out of rankings.
- New listing
- A role seen for the first time during the window, at an employer this site was already following the week before. Whatever an employer has up in its first tracked week is back catalogue and does not count as new.
- Pace
- New listings per week over the four latest full weeks set against the four before (two against two in an edition month with four full weeks), in percent. It is shown once the earlier weeks hold the weight of the family's average pace, fitted on its own counts.
- Appeared, disappeared, started, stopped
- Appeared: none of the group's roles open on any day of the first week, at least one on average in the latest. Disappeared is the reverse. Started: no new listing before the latest weeks of the pace comparison, some inside them. Stopped is the reverse.
- Profession and language
- Named in the title, matched as whole words against the profession and language vocabularies. A title naming two counts for each.
- 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.
- Window
- Live page: the twelve most recent full ISO weeks (Monday to Sunday, UTC), none earlier than the week of 14 Sep 2026. Edition: the full ISO weeks inside one calendar month.
Limits of this data
- Employers say little about which program a role serves, so a rising group is a hint of where robot learning is heading, not a statement by any company.
- A batch from one employer can move a group on its own; the growth tables say how many employers posted new roles in each group.
- 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.
- Most robot training titles name no profession or language, so those groups are small and their counts are floors.
- This dataset's boards were first read on 12 Sep 2026, so the weekly series starts with the week of 14 Sep 2026.
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 index spans the 12 most recent full weeks (none earlier than 14 Sep 2026, when this dataset's weekly series begins) and rolls forward each Monday. Every finished month also gets its own edition, locked two days after month end, so a number quoted from it stays fixed.
- Live page12 most recent full weeks
- 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). Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition. https://robottraining.jobs/research/where-robot-training-hiring-is-heading/2026-10
BibTeX
@misc{robottrainingjobs_where_robot_training_hiring_is_heading_2026_10,
author = {{RobotTraining.jobs}},
title = {Where Robot Training Hiring Is Heading, Week by Week, October 2026 edition},
year = {2026},
howpublished = {\url{https://robottraining.jobs/research/where-robot-training-hiring-is-heading/2026-10}},
}Keep reading
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