Best Teleoperation Companies

How to choose a teleoperation partner for your robots

The differences between providers show up after the contract: who trains the operators, who owns the data and what the files look like. Here is how to surface them first.

By The editors · Updated · 5 min read

A robotics engineering lead, an operations manager and a machine-learning engineer discuss printed proposals at a table, with a robot arm on a bench behind a glass wall.
The best selection meetings include the engineer who will train on the data.
Contents
  1. Start with the job and the measure
  2. The questions that separate providers
  3. Check the evidence
  4. Red flags
  5. Run a paid trial
  6. Questions buyers ask
  7. Sources

Choosing who operates your robot remotely is choosing who your customers meet when autonomy runs out, and who produces the data your policy will learn from. Most teams make this choice once, early, with little to compare against. The mistakes are predictable: hiring on hourly rate alone, accepting operators nobody trained on the robot, and discovering the data format after the first delivery.

Start with the job and the measure

Before the first call, write down whether you are buying operations (keeping deployed robots working), data (demonstrations to train on) or both, and how you will measure it. For operations the measure is response time to a help request and task completion. For data it is clean episodes per operator hour and the share that pass quality checks⁠1.

A written measure does three things. It tells you which kind of provider to call, it makes quotes comparable and it gives you a way to decide, after a trial, whether to continue. The guide to what teleoperation companies do maps each job to a type of provider.

The questions that separate providers

People

  1. Who trains the operators on our robot? Providers differ sharply. OBI Services states that the client trains its operators on the robot software and procedures⁠2. RoboPilots trains a dedicated group on the customer's robot and task protocol⁠3, FS Studio trains its crews on the customer's procedures and safety rules⁠4, and Robotics Center has each operator pass a task-specific proficiency test before their episodes count⁠5.
  2. Do we keep the same operators? Consistent operators give a policy one way to do the task rather than several⁠6. Ask whether you get a named group or whoever is on shift.
  3. How is operator quality tracked? Robotics Center attributes episode quality to each operator so that drift is caught early⁠5. Ask to see the report.

Operations and safety

  1. Where do operators sit relative to the robot? Distance sets latency. A round trip under roughly 100 to 150 milliseconds feels close to natural for direct manipulation; above about 300 milliseconds, continuous control becomes hard⁠7. Ask whether latency is shown to the operator.
  2. What is the takeover and safety protocol? Who can stop the robot, how handoffs work and how incidents are reported⁠8.
  3. What does coverage mean in writing? Hours, time zones and response time to a help request. OBI Services offers 24/7 rotating shifts⁠2; FS Studio's crews work on site⁠4.

Data, privacy and security

  1. Who owns the data, and in what format does it arrive? Ask for a sample episode in LeRobot, RLDS, HDF5 or MCAP, whichever your stack reads, and load it before signing. FS Studio states that it does not pool or resell customer data⁠4.
  2. How is timing quality checked? Misaligned streams are a common silent fault in robot datasets⁠1. Robotics Center ships a timing report with every dataset⁠5.
  3. How is access secured? Scale AI states SOC 2 Type II and ISO 27001 certification⁠9. For robots in homes, ask about consent and how a connected operator is indicated; FS Studio builds participant consent and privacy processing into its human-capture programs⁠4.

Commercials

  1. What is the pricing unit, and how does it change at scale? Per hour, per demonstration, per robot or per fleet. Ask how the price changes as fewer interventions are needed. The cost guide sets out the published figures.

A provider that says who it is wrong for, and puts its delivery format in writing, is usually easier to work with than one that claims to fit every robot.

Check the evidence

Named, linked case studies are rare in this market. On the service pages we read for the nine providers in our main guide, none linked a teleoperation case study that names the customer and reports a measured result. Scale AI comes closest, naming Generalist and Physical Intelligence as partners and quoting customer testimonials⁠9. Several publish their own lists of the best teleoperation providers with themselves in first place, including Labellerr and OBI Services⁠1011. Treat vendor-reported scale figures, such as contributor counts or hours collected per day, as claims to verify in a trial⁠129.

Research gives a useful baseline for what good data can do. ALOHA reached 80 to 90% success on six fine tasks from about ten minutes of demonstrations each⁠13. A provider whose data is far less effective on a comparable task has a protocol or quality problem worth finding early.

Red flags

  • Operators rotate across customers with no training on your robot.
  • No clear answer on who owns the data or how it is delivered.
  • Coverage promises without a response time to a help request.
  • No session logs or replay, so an incident cannot be reviewed.
  • A price that only works at one fleet size, with no path as autonomy improves⁠8.

Run a paid trial

Before a long contract, run a short trial on a small number of robots with agreed measures. A credible first month covers integration and a connectivity test at your site, a written task protocol agreed with your team, operator training on your hardware with a sign-off, a shadow period before live control, and a weekly review of interventions and data quality⁠8.

  1. Agree the protocol and the measures in writing. Clean episodes per operator hour, QA pass rate, time to takeover and on-time delivery.
  2. Connect one robot and test the link. Measure glass-to-glass latency where the robot works, not in the lab⁠7.
  3. Train and sign off the operators. On your hardware, before live control.
  4. Collect for a fixed period. RoboPilots' trial runs one week⁠3; Robotics Center's pilot dataset takes one to two weeks⁠5.
  5. Load the data and train. Check that the files load, the streams are aligned and a replay reproduces the motion⁠1.
  6. Decide on the numbers. Compare cost per clean episode across providers, then scale the one that holds its rate.

The end state is a provider whose operators know your robot, whose data loads into your training job without conversion, and whose rate per clean episode is measured each week. At that point adding robots or shifts is a planning decision rather than a gamble.

Questions buyers ask

Should we build our own teleoperation team or hire a provider?

Teams with a small fleet and engineers sitting next to the operators often keep it in-house. Teams that need shifts across time zones, flexible volume or a managed data pipeline tend to hire a provider. Revisit the choice as the fleet grows.

Who should own teleoperation data?

The customer. Confirm in writing that you own every recorded session, what is recorded, how long it is kept and that the provider will not pool or resell it. FS Studio, for example, states that it does not pool or resell customer data.

How long should a teleoperation trial be?

Long enough to measure a stable rate of clean episodes per operator hour on your own robot and task, and to load the delivered files into your training code. RoboPilots runs a one-week trial; Robotics Center quotes one to two weeks for its pilot dataset.

Sources

  1. How to collect teleoperation data for robot learning. RoboPilots, 9 Oct 2026. Accessed 8 Nov 2026.
  2. Remote robot operators and robot monitoring services. OBI Services. Accessed 8 Nov 2026.
  3. Teleoperation service providers compared (2026). RoboPilots, 26 Oct 2026. Accessed 8 Nov 2026.
  4. Robot teleoperation and data collection services. FS Studio. Accessed 8 Nov 2026.
  5. Custom robot data collection: teleoperation, annotation and QA at scale. Robotics Center. Accessed 8 Nov 2026.
  6. Humanoid robot teleoperation, model by model. RoboPilots, 16 Oct 2026. Accessed 8 Nov 2026.
  7. Teleoperation latency: how much delay each robot task tolerates. RoboPilots, 31 Oct 2026. Accessed 8 Nov 2026.
  8. How to choose a robot teleoperation provider: 12 questions to ask. RoboPilots, 9 Oct 2026. Accessed 8 Nov 2026.
  9. Physical AI data engine. Scale AI. Accessed 8 Nov 2026.
  10. 7 top teleoperation service providers for robotics in 2026. Labellerr, 13 Mar 2026. Accessed 8 Nov 2026.
  11. 7 best teleoperation service providers for robotics in 2026. OBI Services, 28 Jul 2026. Accessed 8 Nov 2026.
  12. Training data for physical AI. Claru. Accessed 8 Nov 2026.
  13. Learning fine-grained bimanual manipulation with low-cost hardware. arXiv (Zhao, Kumar, Levine, Finn), 23 Apr 2023. Accessed 8 Nov 2026.

Updated 8 Nov 2026: First published.

Further reading