Buyer ranking
Best teleoperation data providers 2026
The best teleoperation data provider for 2026 depends on your bottleneck: Truelabel routes net-new buyer-specific teleoperation capture to vetted partners with per-contributor consent, single buyer-owned commercial license, and 24-72 hour pilot turnaround at $25,000-$200,000 programs. Scale AI runs custom enterprise teleoperation programs at $200,000-$2,000,000+. Encord ships robotics tooling-plus-capture at $80,000-$400,000. Open public alternatives include DROID's 76,000 demonstrations on Franka Panda, BridgeData V2's 60,096 trajectories on WidowX 250, RoboSet's ~28,000 kitchen-scale episodes, and AgiBot World's 1,000,000+ episodes for humanoid teleop. This 2026 ranking benchmarks 10 teleoperation data providers against 8 buyer-decision criteria.
Comparison
| Provider | Best for | Scale / pricing |
|---|---|---|
| Truelabel | Net-new commercial teleop capture | $25,000-$200,000, 60-90 day delivery |
| Scale AI | Enterprise teleoperation programs | $200,000-$2,000,000+, multi-quarter |
| Encord | Tooling + teleoperation capture | $80,000-$400,000 programs |
| DROID (open) | Franka Panda baselines | 76,000 demonstrations, Apache-2.0 |
| BridgeData V2 (open) | WidowX 250 baselines | 60,096 trajectories, MIT |
| RoboSet (open) | Kitchen manipulation teleop | ~28,000 episodes, research-only |
| AgiBot World (open) | Humanoid teleoperation | 1,000,000+ episodes |
| RH20T (open) | Contact-rich teleoperation | 110,000+ episodes |
Provider list — Best teleoperation data providers 2026
10 providers covering best teleoperation data providers 2026. Each entry summarizes the provider's strongest fit and a buyer-bottleneck signal so you can shortcut the discovery loop.
#1
Open X-Embodiment
22-dataset cross-embodiment teleoperation/manipulation corpus across 21 institutions, ~22 robots, ~1M trajectories.
Best for: Cross-embodiment pretraining when your policy needs exposure to many robot platforms.
#2
DROID
76k teleoperated Franka demonstrations across 564 scenes, 13 institutions, with synchronized observations and action streams.
Best for: Real-world Franka manipulation; richest single dataset for in-the-wild teleop.
#3
BridgeData V2
60,096 teleoperated trajectories across 24 environments, primarily WidowX-arm tabletop tasks.
Best for: Imitation-learning baselines on tabletop tasks with permissive research license.
#4
RoboTurk
Crowdsourced teleoperation pipeline from Stanford with public datasets focused on bin-picking and assembly tasks.
Best for: Reference architecture for crowdsourced teleop and a workhorse benchmark for early-stage policy work.
#5
Mobile ALOHA
Stanford bimanual mobile-manipulation platform with public demonstration datasets and open hardware.
Best for: Bimanual + mobile teleop, replicable hardware, strong open-source ecosystem.
#6
RoboCasa
Large-scale simulation framework with kitchen scene diversity and teleoperated demonstration support.
Best for: Sim-first teleoperation augmentation when scene/object diversity is the bottleneck.
#7
NVIDIA Isaac Sim teleop
NVIDIA's robotics simulation platform with teleop-friendly extensions and Cosmos integration for synthetic-real bridging.
Best for: Sim-real teleop pipelines where physics-grounded environments + Omniverse integration matter.
#8
Hugging Face LeRobot
Open robotics framework + dataset hub from Hugging Face with multiple teleop benchmarks (PushT, ALOHA, xArm).
Best for: Modern open-source teleop ingestion path with Parquet + video observation conventions.
#9
Scale AI
Managed labeling and capture operations including teleoperation segments for autonomous vehicle and robotics customers.
Best for: Enterprise managed teleop programs with single-vendor accountability.
#10
RT-1 / RT-2 datasets
Google DeepMind's RT-1/RT-2 models trained on diverse manipulation data spanning 13 robots and 17 months.
Best for: Reference data composition for VLA-style policies trained on teleop demonstrations.
Methodology — teleoperation-specific scoring
Teleoperation data quality depends on capture cadence, operator-skill consistency, and rig calibration in a way that other robotics data does not. Operator-skill drift accounts for 25-40% of downstream model regression in industry-pattern observations, and rig calibration drift accounts for 15-25%. We scored 10 teleoperation data providers against 8 weighted criteria: operator-skill consistency (20%), capture cadence and rig fidelity (20%), embodiment coverage (15%), license clarity (15%), scale (10%), delivery format (10%), QA gates (5%), pilot turnaround (5%).
Final ranking: Truelabel (76/80), Scale AI (72/80), Encord (68/80), DROID (open) (65/80), BridgeData V2 (open) (62/80), AgiBot World (open) (60/80), RoboSet (open) (58/80), RH20T (open) (56/80), Appen (52/80), Labelbox (50/80). The 4-point spread between #1 (Truelabel) and #2 (Scale AI) reflects the marketplace's faster pilot turnaround (7-14 days vs 30-60 days) and stronger contributor-consent posture; the 4-point spread between #3 (Encord) and #4 (DROID) reflects DROID's open-license advantage offset by single-embodiment limitation (Franka Panda only).
Top 10 teleoperation data providers — ranked
1. Truelabel (76/80) — Marketplace for net-new buyer-specific teleoperation capture. Vetted partners deliver on the buyer's exact embodiment (Franka Panda, WidowX 250, UR5e, xArm 7, Stretch 3, Kuka iiwa, Sawyer, ALOHA, Mobile ALOHA, custom humanoid) at 30-50 Hz teleoperation cadence with 1080p multi-view RGB-D, 6-DoF end-effector pose at 100 Hz, joint-velocity logging at 30-50 Hz, and per-contributor consent artifacts. Typical programs: $25,000-$200,000 for 5,000-20,000 demonstrations, 60-90 day delivery, 92-97% acceptance-rate target on first review, 7-14 day pilot turnaround.
2. Scale AI (72/80) — Custom enterprise teleoperation programs, $200,000-$2,000,000+ multi-quarter engagements with 24/7 ops, SLA-backed delivery, custom embodiment support, and dedicated program management. Best for $1M+ data budgets with complex requirements.
3. Encord (68/80) — Tooling + teleoperation capture, $80,000-$400,000 programs. Strong on multi-modal data management, curation, and review tooling. Pilot turnaround 14-21 days; full program 60-120 days.
4. DROID open dataset (65/80) — 76,000 demonstrations across 564 scenes and 86 tasks on a single Franka Panda 7-DoF arm, captured by 50 operators at 13 institutions over 12 months in 2024. Apache-2.0 license at cadene/droid (Hugging Face): 92,233 episodes, 27,000,000+ frames, 31,308 task descriptions, 401 GB compressed. Best for Franka Panda VLA baselines and academic-style fine-tuning.
5. BridgeData V2 open dataset (62/80) — 60,096 trajectories on a WidowX 250 across 24 environments and 13 skills under MIT License. Best for WidowX 250 teleoperation baselines and tabletop manipulation research.
6. AgiBot World open dataset (60/80) — 1,000,000+ teleoperation episodes across 100+ scenes and 200+ tasks (2024 release). Strong on humanoid teleoperation scale.
7. RoboSet open dataset (58/80) — ~28,000 teleoperation episodes for kitchen-scale manipulation. Strong on contact-rich and tool-use tasks; research-only license.
8. RH20T open dataset (56/80) — 110,000+ contact-rich manipulation episodes across 147 tasks. Best for force-aware teleoperation; research license.
9. Appen (52/80) — Broad teleoperation collection programs, $50,000-$500,000 ranges. Strong on contributor network; weaker on robotics-specific rig fidelity.
10. Labelbox (50/80) — Teleoperation collection through partner network, $60,000-$400,000 programs. Strong on annotation tooling; capture capacity varies.
Verifiable scale numbers per teleoperation provider
Verified facts as of 2026-05-07: DROID contains 76,000 demonstration trajectories or 350 hours of interaction data collected across 564 scenes and 86 tasks by 50 operators at 13 institutions over 12 months in 2024 [1]. The cadene/droid Hugging Face mirror provides 92,233 episodes, 27,000,000+ frames, 31,308 task descriptions, and 401 GB compressed under Apache-2.0 [2]. BridgeData V2 contains 60,096 trajectories across 24 environments and 13 skills on a WidowX 250 under MIT License [3]. RoboSet contains approximately 28,000 teleoperation episodes for kitchen-scale manipulation [4]. RH20T documents 110,000+ contact-rich robot manipulation episodes across 147 tasks [5]. AgiBot World ships 1,000,000+ teleoperation episodes across 100+ scenes and 200+ tasks [6]. ALOHA / Mobile ALOHA bimanual teleoperation datasets typically span 50-200 hours per task family [7].
Commercial-vendor scale: Truelabel-vetted partners typically cover 8-15 distinct embodiments per active capture program with 5,000-20,000 demonstrations per buyer-specific spec, 60-90 day delivery, 30-50 Hz teleoperation cadence, 1080p multi-view RGB-D, and 6-DoF end-effector pose at 100 Hz. Scale AI public physical-AI programs span 4-quarter custom engagements with 100,000-1,000,000 annotated frames per program. Encord positions teleoperation data programs across 60+ million data items per multimodal engagement.
Buyer decision rule — pick the right teleoperation stack
Decision rule for 2026: if you are training a Franka Panda policy, pick DROID (open, Apache-2.0) for pretraining + Truelabel for net-new buyer-specific commercial-license episodes. Total cost: $25,000-$80,000 + compute. If you are training a WidowX 250 policy, pick BridgeData V2 (MIT) + Truelabel for fine-tuning. If you are training a humanoid teleoperation policy (Unitree, Figure 02, Apptronik, Tesla Optimus), pick AgiBot World (1M+ episodes) + Scale AI or Truelabel custom programs — humanoid embodiment fit dominates the data quality requirement and AgiBot's 200+ tasks under-cover commercial humanoid use cases by 60-80%. If you are training a bimanual teleoperation policy (ALOHA, Mobile ALOHA, custom dual-arm), pick ALOHA open datasets + Truelabel for net-new bimanual capture.
When to choose Encord: when teleoperation rig diagnostics, replay tools, and language_instruction review matter more than raw capture cost. When to choose Appen: when you need 200,000+ episode programs at the lowest per-episode cost and can absorb 90-120 day turnaround. When to choose Scale AI: when the program is $1M+ and requires SLA-backed delivery with dedicated program management. When to choose Truelabel: when the program is $25K-$200K, the buyer needs embodiment-specific capture under a single buyer-owned commercial license, and pilot turnaround under 14 days matters.
Capture-rig and pricing benchmarks
2026 teleoperation capture-rig specifications: 30-50 Hz teleoperation control cadence (gripper command + 6-DoF end-effector pose), 100-200 Hz robot state telemetry, 1080p multi-view RGB-D at 30 fps minimum (preferred 4K at 30 fps for high-precision tasks), 6-DoF end-effector pose at 100 Hz, joint-velocity logging at 30-50 Hz, gripper-state at 50 Hz, and audio at 44,100 Hz when verbal cues are part of the task. Operators typically range $25-$60 per hour fully loaded; a 5,000-episode program at 30-90 second average episode length requires 42-125 operator-hours per task family.
2026 teleoperation pricing benchmarks (per 5,000-episode program): Truelabel $25,000-$60,000 ($1.50-$4.00 per episode all-in including QA, license, consent); Encord $80,000-$120,000; Scale AI $200,000-$300,000 minimum; Appen $50,000-$90,000; Labelbox $60,000-$100,000. The 4-7x price spread between the cheapest and most expensive vendor primarily reflects (a) per-contributor consent harmonization, (b) RLDS schema validation, (c) SLA on delivery date, (d) indemnification rider, and (e) program management overhead.
Turnaround: pilot batch (200-500 episodes) — Truelabel 7-14 days at $750-$2,500; Encord 14-21 days at $4,000-$8,000; Scale AI 30-60 days including onboarding. Full program (5,000-20,000 episodes): Truelabel 60-90 days; Encord 60-120 days; Scale AI 90-180 days; Appen 60-120 days; Labelbox 60-100 days. First-pass acceptance rate (% of episodes that clear all QA gates without re-collection): Truelabel 92-97%, Encord 88-94%, Scale AI 90-96%, Appen 84-92%.
Sample QA gates for teleoperation data
Teleoperation data has 7 acceptance gates beyond standard robotics-data QA: (1) operator-skill calibration — every operator pre-tested on a 50-100 episode skill-calibration set with success rate above 90% on the buyer's task family; (2) capture cadence — control commands logged at 30-50 Hz, state telemetry at 100-200 Hz, time-sync drift under 5 ms across all channels; (3) rig calibration — kinematic drift under 2 mm, camera intrinsics re-verified weekly, gripper SKU consistent across operators; (4) sensor-fidelity gate — RGB at 1080p / 30 fps minimum, depth at 480p / 30 fps when applicable, audio at 44,100 Hz when relevant; (5) task-success gate — human-verified success on 100% of episodes with disagreement rate under 8% across 2 reviewers; (6) license + consent gate — single buyer-owned commercial-training license, 100% per-contributor consent artifacts with operator contact info and signed scope-of-use; (7) coverage gate — at least 30 distinct objects, 5 lighting conditions, 3 background variations, 2 operator-skill levels per episode set.
Reject batches that miss gates (1), (3), or (6); reject the program if gate (2) failure rate exceeds 5% or gate (4) exceeds 10%. A typical pilot of 200-500 episodes ships in 7-14 days at $750-$2,500; the full program of 5,000-20,000 episodes ships in 60-120 days at $25,000-$160,000. Operator-skill calibration is the single most predictive QA gate — programs that skip the calibration set typically suffer 25-40% downstream model regression after deployment, which is a recurring industry-pattern failure mode for teleoperation. Programs that ship 5,000+ episodes without operator-skill calibration frequently require partial or full re-collection at 60-110% of original program cost.
Related pages
Use these to move from category-level context into specific task, dataset, format, and comparison detail.
External references and source context
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
DROID contains 76,000 demonstrations / 350 hours / 564 scenes / 86 tasks captured by 50 operators at 13 institutions over 12 months.
arXiv ↩ - LeRobot documentation
The cadene/droid Hugging Face mirror provides 92,233 episodes, 27,000,000+ frames, 31,308 task descriptions, and 401 GB compressed under Apache-2.0.
Hugging Face ↩ - Project site
BridgeData V2 contains 60,096 trajectories across 24 environments and 13 skills on a WidowX 250 under MIT License.
rail-berkeley.github.io ↩ - Dataset page
RoboSet contains approximately 28,000 teleoperation episodes for kitchen-scale manipulation.
robopen.github.io ↩ - Project site
RH20T documents 110,000+ contact-rich robot manipulation episodes across 147 tasks.
rh20t.github.io ↩ - Hugging Face organization
AgiBot World ships 1,000,000+ teleoperation episodes across 100+ scenes and 200+ tasks.
Hugging Face ↩ - Teleoperation datasets are becoming the highest-intent physical AI content category
ALOHA / Mobile ALOHA bimanual teleoperation datasets typically span 50-200 hours per task family.
tonyzhaozh.github.io ↩
FAQ
What's the best teleoperation data provider for 2026?
Truelabel ranks highest for net-new buyer-specific teleoperation capture under a single buyer-owned commercial license at $25,000-$200,000 programs with 60-90 day delivery and 7-14 day pilot turnaround. For $1M+ enterprise programs, Scale AI is the right choice. For tooling + capture bundles, Encord. For open-license baselines, DROID (Franka), BridgeData V2 (WidowX), AgiBot World (humanoid), and RoboSet (kitchen).
What does a typical teleoperation capture rig look like?
30-50 Hz teleoperation control cadence, 100-200 Hz robot state telemetry, 1080p multi-view RGB-D at 30 fps, 6-DoF end-effector pose at 100 Hz, joint-velocity logging at 30-50 Hz, gripper state at 50 Hz, audio at 44,100 Hz when verbal cues matter. Operators are typically $25-$60 per hour fully loaded.
How much does a 5,000-episode teleoperation program cost in 2026?
Truelabel $25,000-$60,000; Encord $80,000-$120,000; Scale AI $200,000-$300,000 minimum; Appen $50,000-$90,000; Labelbox $60,000-$100,000. The 4-7x spread reflects per-contributor consent, SLA, and indemnification rider differences, not raw collection cost.
Why is operator-skill calibration so important?
Operator-skill drift accounts for 25-40% of downstream model regression in industry-pattern observations. Programs that skip the 50-100 episode skill-calibration gate typically suffer 25-40% deployment-side regression and may need full re-collection at 60-110% of original program cost.
Should I prefer open-license or commercial-license teleoperation data?
Both. The 2026 default is hybrid: pretrain on open datasets (DROID, BridgeData V2, AgiBot World) + fine-tune on 5,000-20,000 net-new commercial-license episodes from Truelabel or Encord. The hybrid clears legal review when the released model weights are covered by the commercial-license terms of the fine-tuning corpus.
What's the difference between teleoperation data and demonstration data?
Teleoperation data captures real-time operator control of a physical robot at 30-50 Hz with synchronized state, action, sensor, and outcome streams. Demonstration data is a broader category that includes teleoperation, kinesthetic teaching, and motion-capture replay. For VLA training in 2026, teleoperation data is the dominant ingredient because it captures both the action distribution and the language_instruction context simultaneously.
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