What the data shows
- 1
68.1% of open roles name a robot or vehicle in the title, cars and robotaxis most often (476 of 1,150, 41.4%), ahead of robots (unspecified) (223). Counting descriptions too, 99.3% mention one, though a description can mention a robot or vehicle the job does not work on.
- 2
Among robots and vehicles with at least 3 roles stating pay at 3 or more employers, trucks advertise the highest median ($32/hr) and delivery, warehouse and service robots the lowest ($22/hr).
- 3
The control and capture equipment named most often in descriptions is head-mounted cameras and smart glasses (103 roles at 7 employers), VR headsets (41 roles at 14 employers) and motion capture (17 roles at 4 employers).
- 4
Teleoperation gear is named by a few employers: VR headsets in 41 descriptions (14 employers) and leader-follower rigs or data gloves in 6 (5).
- 6
0.7% of open roles name no robot or vehicle anywhere they are read.
Figure 1
Robots and vehicles named in role titles
Which robots and vehicles do robot training job titles name?
| Robot or vehicle | Open roles naming it | Share of open roles | ||
|---|---|---|---|---|
| Cars and robotaxis | 476 | 41.4% | $27 | 21 |
| Robots (unspecified) | 223 | 19.4% | $26 | 39 |
| Drones and aircraft | 72 | 6.3% | $35 | 20 |
| Trucks | 36 | 3.1% | $35 | 9 |
| Humanoid robots | 7 | 0.6% | $30 | 2 |
| Construction machines | 3 | 0.3% | n/a | 2 |
| Robot arms and manipulation | 2 | 0.2% | n/a | 1 |
| Vessels and boats | 1 | 0.1% | n/a | 1 |
Base: 783 of the 1,150 roles still open as 31 Oct 2026 closed have a robot or vehicle in the title.
'Robots (unspecified)' counts titles that say robot, robotics or teleoperation without naming the kind of robot. 'Vehicle' alone counts as a car, its usual meaning in these titles.
A median requires 3 priced roles.
Credit: RobotTraining.jobs Research, Robots and Equipment in Robot Training Work, October 2026 edition.
Figure 2
Robots and vehicles named in role descriptions
Which robots and vehicles do the full job descriptions mention?
| Robot or vehicle | Roles naming it | Share of roles read | ||
|---|---|---|---|---|
| Cars and robotaxis | 705 | 61.3% | AV & Drone | 52 |
| Robots (unspecified) | 582 | 50.6% | Egocentric Capture | 77 |
| Drones and aircraft | 255 | 22.2% | AV & Drone | 37 |
| Robot arms and manipulation | 89 | 7.7% | Demonstration Collection | 23 |
| Trucks | 66 | 5.7% | AV & Drone | 18 |
| Delivery, warehouse and service robots | 55 | 4.8% | Fleet Operations | 12 |
| Construction machines | 45 | 3.9% | AV & Drone | 12 |
| Humanoid robots | 18 | 1.6% | Teleoperation | 6 |
| Vessels and boats | 10 | 0.9% | AV & Drone | 5 |
Base: 1,150 of the 1,150 roles open on 31 Oct 2026 have a full description read (100.0%).
A description can name a robot or vehicle it does not work on (an employer's product line, a past project): the figure counts mentions.
Many employers post one description per city, so a large employer's template weighs on the counts.
Credit: RobotTraining.jobs Research, Robots and Equipment in Robot Training Work, October 2026 edition.
Figure 3
Advertised pay by robot or vehicle
What does robot training work on each kind of robot or vehicle pay?
| Robot or vehicle | Median per hour | Middle half | Roles stating pay | Employers stating pay | |
|---|---|---|---|---|---|
| Trucks | $32 | $27 to $35 | 31 | 9 | 66 |
| Humanoid robots | $30 | $29 to $32 | 14 | 3 | 18 |
| Robot arms and manipulation | $28 | $24 to $30 | 28 | 11 | 89 |
| Drones and aircraft | $27 | $27 to $35 | 98 | 18 | 255 |
| Cars and robotaxis | $26 | $24 to $30 | 160 | 29 | 707 |
| Construction machines | $26 | $23 to $32 | 31 | 6 | 45 |
| Robots (unspecified) | $25 | $21 to $32 | 190 | 40 | 582 |
| Delivery, warehouse and service robots | $22 | $22 to $23 | 33 | 7 | 55 |
| Vessels and boatsSmall sample | $63 | $56 to $63 | 3 | 2 | 10 |
Base: Roles open on 31 Oct 2026 that name the robot or vehicle (title or description) and state an hourly rate.
A robot or vehicle counts when the title names it or, where the job board publishes a full description, when the description does. A role naming several counts for each.
Medians need 3 roles stating a rate. When the priced roles behind a median come from fewer than 3 employers, it is shown with a mark but left out of the ranking, since it reflects those employers' own listings rather than the work.
Credit: RobotTraining.jobs Research, Robots and Equipment in Robot Training Work, October 2026 edition.
Figure 4
Control and capture equipment named in descriptions
Which equipment do robot training roles name: VR headsets, leader arms, head cameras, phones?
| Equipment | Roles naming it | Share of roles read | Employers | ||
|---|---|---|---|---|---|
| Laptops and computers | 394 | 34.3% | 41 | AV & Drone | Operations |
| Smartphones | 236 | 20.5% | 14 | Egocentric Capture | Operations |
| Head-mounted cameras and smart glasses | 103 | 9.0% | 7 | Egocentric Capture | Capture |
| VR headsets (Meta Quest, Apple Vision Pro) | 41 | 3.6% | 14 | Demonstration Collection | Control |
| LiDAR and point clouds | 18 | 1.6% | 8 | AV & Drone | Sensors |
| Motion capture | 17 | 1.5% | 4 | Demonstration Collection | Capture |
| Tablets | 17 | 1.5% | 8 | AV & Drone | Operations |
| Forklifts and pallet jacks | 9 | 0.8% | 5 | Egocentric Capture | Operations |
| Leader-follower arms, puppeteering rigs, data gloves | 6 | 0.5% | 5 | Demonstration Collection | Control |
| Action and 360-degree cameras (GoPro, Insta360) | 3 | 0.3% | 2 | Demonstration Collection | Capture |
| Joysticks and game controllers | 2 | 0.2% | 2 | Teleoperation | Control |
Base: 1,150 of the 1,150 roles open on 31 Oct 2026 have a full description read (100.0%).
Each piece of equipment is a published pattern over the description (EQUIPMENT in the method). A mention can be the main tool of the job or a line in a list of qualifications.
The number of employers says how widely a term is used: a count resting on one employer reads that employer's template.
Credit: RobotTraining.jobs Research, Robots and Equipment in Robot Training Work, October 2026 edition.
Figure 5
Robots and vehicles named by each employer's roles
Which employers hire for which robots and vehicles?
| Employer | Open roles | Naming one | Cars and robotaxis | Robots (unspecified) | Drones and aircraft | Robot arms and manipulation | Trucks | |
|---|---|---|---|---|---|---|---|---|
| TSMG | 503 | 100.0% | 68.8% | 54.3% | 22.7% | 7.4% | 2.0% | Cars and robotaxis |
| Tesla | 170 | 97.1% | 80.6% | 16.5% | 0.0% | 8.8% | 0.6% | Cars and robotaxis |
| Amazon Prime Air | 59 | 100.0% | 3.4% | 0.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| Alignerr | 41 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| HireArt | 25 | 100.0% | 80.0% | 28.0% | 8.0% | 12.0% | 0.0% | Cars and robotaxis |
| Transdev | 25 | 100.0% | 100.0% | 0.0% | 0.0% | 4.0% | 0.0% | Cars and robotaxis |
| Claru | 16 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Serve Robotics | 16 | 100.0% | 100.0% | 100.0% | 6.3% | 0.0% | 0.0% | Delivery, warehouse and service robots |
| Avride | 15 | 100.0% | 100.0% | 86.7% | 6.7% | 0.0% | 0.0% | Cars and robotaxis |
| Gatik | 11 | 100.0% | 100.0% | 90.9% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| Symbotic | 11 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| DoorDash Labs | 10 | 100.0% | 50.0% | 100.0% | 50.0% | 0.0% | 0.0% | Robots (unspecified) |
| Figure AI | 10 | 100.0% | 0.0% | 100.0% | 10.0% | 30.0% | 10.0% | Humanoid robots |
| Anduril IndustriesSmall sample | 9 | 100.0% | 44.4% | 22.2% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| Aurora InnovationSmall sample | 9 | 100.0% | 100.0% | 11.1% | 88.9% | 0.0% | 100.0% | Cars and robotaxis |
| Dyna RoboticsSmall sample | 9 | 100.0% | 0.0% | 100.0% | 0.0% | 22.2% | 0.0% | Robots (unspecified) |
| MooveSmall sample | 9 | 100.0% | 100.0% | 0.0% | 11.1% | 0.0% | 0.0% | Cars and robotaxis |
| ZiplineSmall sample | 8 | 100.0% | 37.5% | 25.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| Robot.com (Kiwibot)Small sample | 7 | 100.0% | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | Robots (unspecified) |
| NuroSmall sample | 7 | 100.0% | 100.0% | 14.3% | 0.0% | 0.0% | 0.0% | Cars and robotaxis |
| Genesis AISmall sample | 6 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| ISEESmall sample | 6 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 100.0% | Delivery, warehouse and service robots |
| Kodiak AISmall sample | 6 | 100.0% | 100.0% | 16.7% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| Latitude AISmall sample | 6 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| micro1Small sample | 6 | 66.7% | 33.3% | 33.3% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| WaabiSmall sample | 6 | 100.0% | 100.0% | 66.7% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| Collaborative RoboticsSmall sample | 5 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| SaronicSmall sample | 5 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Scout AISmall sample | 5 | 100.0% | 20.0% | 100.0% | 60.0% | 0.0% | 0.0% | Robots (unspecified) |
| WaymoSmall sample | 5 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Arctic EnginesSmall sample | 4 | 75.0% | 0.0% | 75.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Coco RoboticsSmall sample | 4 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 25.0% | Delivery, warehouse and service robots |
| MonumentalSmall sample | 4 | 100.0% | 25.0% | 100.0% | 50.0% | 0.0% | 25.0% | Robots (unspecified) |
| Shield AISmall sample | 4 | 100.0% | 25.0% | 50.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| Skild AISmall sample | 4 | 100.0% | 0.0% | 100.0% | 25.0% | 0.0% | 0.0% | Robots (unspecified) |
| WayveSmall sample | 4 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | Cars and robotaxis |
| AeroVectSmall sample | 3 | 100.0% | 100.0% | 0.0% | 33.3% | 0.0% | 0.0% | Cars and robotaxis |
| FS StudioSmall sample | 3 | 100.0% | 0.0% | 100.0% | 0.0% | 66.7% | 0.0% | Robots (unspecified) |
| Nimble RoboticsSmall sample | 3 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| PerleSmall sample | 3 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Skyports Drone ServicesSmall sample | 3 | 100.0% | 0.0% | 0.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| Torc RoboticsSmall sample | 3 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| Welo DataSmall sample | 3 | 100.0% | 0.0% | 100.0% | 33.3% | 100.0% | 0.0% | Robot arms and manipulation |
| 1X TechnologiesSmall sample | 2 | 100.0% | 50.0% | 100.0% | 0.0% | 0.0% | 0.0% | Humanoid robots |
| Applied IntuitionSmall sample | 2 | 100.0% | 100.0% | 50.0% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| BeepSmall sample | 2 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | Cars and robotaxis |
| Bot AutoSmall sample | 2 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| Cota RoboticsSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| DexmateSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 50.0% | 0.0% | Robots (unspecified) |
| DexorySmall sample | 2 | 100.0% | 50.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Gecko RoboticsSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Havoc AISmall sample | 2 | 100.0% | 0.0% | 50.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| HumanoidSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Humanoid robots |
| InstaworkSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Keywords StudiosSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| MotionalSmall sample | 2 | 100.0% | 100.0% | 50.0% | 100.0% | 0.0% | 0.0% | Cars and robotaxis |
| NerosSmall sample | 2 | 100.0% | 0.0% | 0.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| Performance Drone WorksSmall sample | 2 | 100.0% | 0.0% | 100.0% | 100.0% | 0.0% | 0.0% | Robots (unspecified) |
| PlusAISmall sample | 2 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| Rhoda AISmall sample | 2 | 100.0% | 0.0% | 100.0% | 100.0% | 100.0% | 0.0% | Robot arms and manipulation |
| RoboForceSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| SereactSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Stack AVSmall sample | 2 | 100.0% | 100.0% | 100.0% | 100.0% | 0.0% | 100.0% | Robots (unspecified) |
| Sunday RoboticsSmall sample | 2 | 100.0% | 0.0% | 100.0% | 50.0% | 0.0% | 0.0% | Robots (unspecified) |
| Tutor IntelligenceSmall sample | 2 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Humanoid robots |
| 120ftSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| AdexisSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| Aerospace engineering firmSmall sample | 1 | 100.0% | 0.0% | 0.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| Allen Control SystemsSmall sample | 1 | 100.0% | 0.0% | 100.0% | 100.0% | 0.0% | 0.0% | Robots (unspecified) |
| Ambi RoboticsSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| AppenSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| CHAOS IndustriesSmall sample | 1 | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 0.0% | Robot arms and manipulation |
| DroydSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| Enact IntelligenceSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| Flexdrive (Lyft)Small sample | 1 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | Cars and robotaxis |
| Foundation RoboticsSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Humanoid robots |
| Generalist AISmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| InnodataSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| MannaSmall sample | 1 | 100.0% | 0.0% | 0.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| MatternetSmall sample | 1 | 100.0% | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | Robots (unspecified) |
| Maven RoboticsSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Humanoid robots |
| May MobilitySmall sample | 1 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | Cars and robotaxis |
| Mind RoboticsSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| Mindy SupportSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| NidusSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| Physical IntelligenceSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 100.0% | 0.0% | Robot arms and manipulation |
| Pickle RobotSmall sample | 1 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | 100.0% | Robots (unspecified) |
| ProntoSmall sample | 1 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| PykaSmall sample | 1 | 100.0% | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | Cars and robotaxis |
| Reliable RoboticsSmall sample | 1 | 100.0% | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | Robots (unspecified) |
| Rugged RoboticsSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| SaildroneSmall sample | 1 | 100.0% | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | Cars and robotaxis |
| SamaSmall sample | 1 | 100.0% | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | Cars and robotaxis |
| SkywaysSmall sample | 1 | 100.0% | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | Cars and robotaxis |
| Starship TechnologiesSmall sample | 1 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | Delivery, warehouse and service robots |
| TelexistenceSmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| TELUS Digital AI CommunitySmall sample | 1 | 100.0% | 0.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
| VaySmall sample | 1 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | 100.0% | Cars and robotaxis |
| WingSmall sample | 1 | 100.0% | 0.0% | 0.0% | 100.0% | 0.0% | 0.0% | Drones and aircraft |
| WorkstreamSmall sample | 1 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% | Robots (unspecified) |
Base: 1,150 roles open on 31 Oct 2026, by the employer that lists them. Columns: the share of the employer's roles naming each of the 5 robots and vehicles named most often.
A robot or vehicle counts when the title names it or, where the job board publishes a full description, when the description does. A role naming several counts for each.
This counts open postings only. It says nothing about hires or applications.
A row with under 9.4 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, Robots and Equipment in Robot Training Work, October 2026 edition.
Figure 6
Roles that name no robot or vehicle
How many roles say which robot or vehicle the work is on?
| What the posting says | Open roles | Share | ||
|---|---|---|---|---|
| The title names one | 783 | 68.1% | $29 | 77 |
| Only the description names one | 359 | 31.2% | $27 | 57 |
| The description names none | 8 | 0.7% | n/a | 3 |
| Title names none, and no description was read | 0 | 0.0% | n/a | 0 |
Base: All 1,150 roles live on 31 Oct 2026; 1,150 of the 1,150 roles open on 31 Oct 2026 have a full description read (100.0%).
Capture and annotation roles often name what they record (household tasks, a warehouse) rather than a robot: they are in the last rows, and the egocentric capture report counts what they record.
Credit: RobotTraining.jobs Research, Robots and Equipment in Robot Training Work, October 2026 edition.
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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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How it was measured
Every day this site reads the public job boards of the robot training employers and programs it follows. Robots and vehicles are read from every title and from full descriptions; equipment from the full descriptions of the roles whose job board publishes one. 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.
- Robot or vehicle named
- A role names a robot or vehicle when its title does, or, where the job board publishes a full description, when its description does, matched as whole words with the documented vocabulary (MACHINES): humanoids; robot arms and manipulation; delivery, warehouse and service robots; robots unspecified; cars and robotaxis; trucks; drones and aircraft; vessels; construction machines. A role naming several counts for each.
- Equipment named
- Control equipment (VR headsets, leader-follower rigs and data gloves, joysticks and game controllers), capture equipment (motion capture, head-mounted cameras and smart glasses, action and 360-degree cameras), sensors (LiDAR) and operations equipment (smartphones, tablets, laptops, forklifts), each a published pattern over the description. Smartphones sit with operations because most descriptions name one as a field device rather than as the capture rig.
- Pay by robot or vehicle
- The median hourly rate among roles that name it. It needs 3 roles with a stated rate, and it enters the ranking only if those roles span 3 or more employers; a median that rests on fewer employers is displayed with a mark but left unranked.
- 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.
- 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.
- Large employers often reuse one description per city, so their template carries extra weight in any share drawn from descriptions.
- A description can name a robot, vehicle or piece of equipment the job does not use (a product line, a past project, a list of preferences): the figures count mentions.
- Unusual spellings can slip past the patterns, and nothing is read into the text beyond what it says.
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). Robots and Equipment in Robot Training Work, October 2026 edition. https://robottraining.jobs/research/robots-and-equipment-in-robot-training/2026-10
BibTeX
@misc{robottrainingjobs_robots_and_equipment_in_robot_training_2026_10,
author = {{RobotTraining.jobs}},
title = {Robots and Equipment in Robot Training Work, October 2026 edition},
year = {2026},
howpublished = {\url{https://robottraining.jobs/research/robots-and-equipment-in-robot-training/2026-10}},
}Keep reading
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