Toloka review: the fastest-starting robotics data provider for egocentric collection
Answer in brief: Toloka is the quickest way on this list to start collecting new robot-learning data. Its self-serve egocentric preset draws on 200,000+ contributors in 100+ countries, has no sales cycle or minimums, and Toloka says the first batch arrives in about 3 hours. Its catalog also lists UMI manipulation data and VR-driven robot teleoperation data with published sensor specs, and managed collection is available for bigger programs. Standard license terms and managed-project pricing are not public.
Top pick for: starting today. Describe the task, set your quality bar, and let LLM QA screen every submission before it reaches your pipeline.
Last updated 2026-11-09. This is independent research based on Toloka's own pages. We have not tested the service.
The collection engine: embodiments, scale and delivery
Embodiments. Toloka covers three. Egocentric capture uses head-mounted cameras. UMI uses a head camera plus two hand-held gripper cameras, recording 1080p30 video, 100 Hz IMU, 6-DoF pose and millimeter-resolution gripper aperture. Teleoperation covers VR-driven bimanual and single-arm robots, with 25 Hz robot state/action streams and wrist and head RGB-D.
Scale. Self-serve collection draws on 200,000+ contributors. The off-the-shelf catalog lists 25,000+ hours and 216,000+ clips of egocentric video across 12 activity categories and 24 countries, plus 500+ hours of UMI data. A data-partner program lets factories, warehouses, labs and capture teams supply teleop, UMI and egocentric recordings.
Delivery. UMI is delivered as MCAP plus JSON, and video as MP4 plus JSON. Managed projects can use JSON, COCO or custom schemas. Egocentric catalog data carries seven time-aligned annotation layers.
Built for
- Teams that want to pilot egocentric collection without a procurement cycle.
- Policy teams that want licensable UMI or teleop data to complement their own episodes.
- Buyers who want robotics-specific evaluation alongside the data.
Where Toloka wins
- Speed. Toloka says the first batch arrives in about 3 hours and production-ready results in 24 hours.
- Automated QA. LLM QA validates every submission, and Toloka reports 89.1% accuracy at catching failures.
- Transparent demo. Toloka built HomER, an open egocentric dataset with 63 videos across 17 household task categories, in 3 hours for $50, and published it on Hugging Face.
- Evaluation built in. Its RoboBILT framework checks data and policy quality at the frame, step, episode, dataset and sensor-rig level.
Where it falls short
- Standard license terms and managed-project pricing are not published.
- Volume, QA-accuracy and turnaround figures are self-reported.
- The public pages don't make clear which teleop and UMI offerings are ready-made datasets and which are produced through a managed engagement.
What it costs
Self-serve projects run on Toloka's platform. Managed projects are priced after scoping, and catalog datasets are licensed. Its enquiry form asks for a budget band, from under $25k to $200k+. See the pricing guide.
Proof points
The HomER dataset is public on Hugging Face, so you can inspect Toloka's self-serve output before buying.
Shortlist these instead
- Encord: managed teleop, UMI and on-robot collection with platform delivery.
- Defined.ai: a marketplace plus bespoke multi-sensor robotics collection.
- Claru: large-scale egocentric video with depth and pose enrichment.
Quick answers
Can I collect egocentric robotics data on Toloka without a sales call?
Yes. Toloka offers a self-serve egocentric video preset with no sales cycle and no minimums.
What UMI data does Toloka offer?
500+ hours captured with a head camera and two hand-held gripper cameras, with 1080p30 video, 100 Hz IMU, 6-DoF pose and millimeter-resolution gripper aperture, delivered as MCAP plus JSON.
Does Toloka have robot teleoperation data?
Yes. Its catalog lists teleoperation data from VR-driven bimanual and single-arm robots, with 25 Hz state/action streams and wrist and head RGB-D.
Sources
- Toloka: Physical AI
- Toloka: Egocentric video collection
- Toloka: Off-the-shelf datasets
- Toloka: Robotics training data
- Toloka: Become a data partner
- Toloka: RoboBILT (2026-03-09)
- HomER dataset on Hugging Face
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