What the data shows

1
Between the week of 14 Sep 2026 and the week of 19 Oct 2026, at the 0 employers followed for the whole span, 0 groups received new jobs in the final 3 weeks having had none in the opening 3, 0 went without any in the final 3 after earlier postings; no group showed up among or dropped out of the open jobs.
Figure 7

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 14 Sep	Open, week of 19 Oct	New jobs	New jobs a week, latest 3 weeks against prior 3	Employers posting new jobs
All roles	n/a	0	0	0	n/a	0

Base: Jobs at the 0 employers followed for the whole span, across 6 full ISO weeks, starting the week of 14 Sep 2026 and ending the week of 19 Oct 2026; 0 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 0 employers followed for the whole span. Employers that joined the dataset later (93 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 3 weeks against prior 3: the weekly rate of new jobs in the second half of the full weeks set against the first half (3 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, daily data.

Figure 2

Languages gaining the most jobs

For which languages are robot training employers opening more jobs?

Language	Open jobs, change	Open, week of 14 Sep	Open, week of 19 Oct	New jobs	New jobs a week, latest 3 weeks against prior 3	Employers posting new jobs
All roles	n/a	0	0	0	n/a	0

Base: Jobs at the 0 employers followed for the whole span, across 6 full ISO weeks, starting the week of 14 Sep 2026 and ending the week of 19 Oct 2026; 0 languages found in job titles.

New jobs a week, latest 3 weeks against prior 3: the weekly rate of new jobs in the second half of the full weeks set against the first half (3 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, daily data.

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 14 Sep	Open, week of 19 Oct	New jobs	New jobs a week, latest 3 weeks against prior 3	Employers posting new jobs
All roles	n/a	0	0	0	n/a	0

Base: Jobs at the 0 employers followed for the whole span, across 6 full ISO weeks, starting the week of 14 Sep 2026 and ending the week of 19 Oct 2026; 0 kinds of work.

New jobs a week, latest 3 weeks against prior 3: the weekly rate of new jobs in the second half of the full weeks set against the first half (3 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, daily data.

Figure 4

Jobs posted each week, by professional field

How many new jobs did employers post each week in the biggest professional fields?

Nothing to show for this window.

Base: Jobs newly posted at the 0 employers followed for the whole span in each ISO week (Monday through Sunday, UTC), across 6 full ISO weeks, starting the week of 14 Sep 2026 and ending the week of 19 Oct 2026: the 0 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, daily data.

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.

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, daily data.

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?

Nothing to show for this window.

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, daily data.

Figure 7

Groups that turned up or dropped out

Which kinds of work, languages and professional fields began or ceased hiring during these weeks?

Nothing to show for this window.

Base: Across 6 full ISO weeks, starting the week of 14 Sep 2026 and ending the week of 19 Oct 2026, no kind of work, language or professional field at the 0 employers followed for the whole span turned up, dropped out, started or stopped receiving new jobs.

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 3 weeks, then one or more in the final 3. 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, daily data.

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Buy the data behind this report

This report sums up records we gather ourselves, day after day:

1,317 robot training roles followed, history included
Every role on 85 employer job boards, read each day since 12 Sep 2026: its pay, its place, and the first and last day it was up.
451 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.
19 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).

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 page (you are here)12 most recent full weeks

Quoting this report

You may quote, chart or republish these figures under CC BY 4.0, provided you link back to this page. The live numbers shift every day. For a figure that stays put, quote a monthly edition, or note the date you accessed this page.

Citation

RobotTraining.jobs (2026). Where Robot Training Hiring Is Heading, Week by Week (live data, 14 Sep 2026 to 25 Oct 2026). https://robottraining.jobs/research/where-robot-training-hiring-is-heading (accessed 26 Oct 2026)

BibTeX

@misc{robottrainingjobs_where_robot_training_hiring_is_heading_live,
  author = {{RobotTraining.jobs}},
  title = {Where Robot Training Hiring Is Heading, Week by Week (live data, 14 Sep 2026 to 25 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://robottraining.jobs/research/where-robot-training-hiring-is-heading}},
  note = {Accessed 26 Oct 2026},
}

Files: every figure in one CSV (a row per value) or as JSON, emailed to your work address.Other open data: datasets and API

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