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COMPANY AND PROGRAM REVIEW

Toloka review for physical AI data and human evaluation

Toloka markets physical AI work and data services.

By Fiund · Updated 2026-11-05

Public-source review. Fiund is a competing AI-data business. No paid engagement was tested for this review.

Toloka markets physical AI work and data services. Its public physical AI materials describe human task data and related workflows. Before comparing suppliers, specify whether you need human first-person observations, robot trajectories, annotations, or expert evaluation. Those artifacts support different training and evaluation tasks. Toloka physical AI · Toloka company overview

Check what one recorded task contains

For a manipulation task, ask for the starting state, action timestamps, final outcome, camera and sensor setup, repeated attempts and failure examples. Confirm whether robot action or state labels exist and how they align with video. Request a held-out worker or environment and a quality report on the accepted set.

Verify the capture arrangement

Ask who recruited participants, who approved the site, what rights were granted and which identifiers are retained. A contributor should use the actual program terms for eligibility, acceptance and payout. A buyer should get a quote and rights scope for its own dataset, including limits on redistribution or other downstream uses.

An original physical-task specification

For a benign practice task, ask an operator to arrange inert objects into a marked tray. Define the start state, the visible placement, an incorrect-object example and the final tray state. Ask whether the desired output is observed video, action labels, a measured sensor signal or a robot-specific trajectory. Those outputs need their own evidence and schema.

Check what happens when a hand hides the object and when the operator abandons a take. Preserve a failed or uncertain outcome according to the written rules. Count unique activity, repeated attempts, simultaneous views and accepted episodes separately when comparing coverage and a quote.

Confirm the contributor route and project controls

The physical-AI page links a contributor route separately from the buyer’s dataset inquiry. An individual should follow the current official project instructions for eligibility, permitted capture, acceptance and payment. A site owner or collection team needs the applicable authorization for the location, people and materials.

A buyer should request a specimen manifest, permission reference, review process and held-out task or environment. Ask which labels are measured, estimated and human checked. The public page supports a scoped discussion, while the actual source and contract determine what is delivered. No current assignment, universal rate or tested robot performance is established here.

Primary sources and further reading