Human demonstration data for Physical AI.
RoboWorkData designs, records, anonymizes, annotates, quality-checks, and licenses structured human task demonstrations for robotics, automation, and embodied AI teams.
Custom protocols · Multiview recording · Structured annotations · Human QA · Commercial licensing
Target Domains
Who RoboWorkData serves.
We support engineering groups and research labs building the next generation of physical automation.
Humanoid Robotics
Demonstrations tailored to dual-arm manipulation and whole-body locomotion pretraining.
Service Robotics
Commercial facility routines, tidying, and tool deployment sequences.
Household Robotics
Domestic manipulation tasks inside controlled mock apartment environments.
Cleaning Robotics
Surface wiping, spill management, and vacuum routines under varied angles.
Warehouse & Logistics
Package handling, parcel sorting, and shelving tasks in mock storage hubs.
Foundation Models & Embodied AI
General-purpose dataset structures designed to feed Vision-Language-Action (VLA) architectures.
World Model Research
Multiview environment and physics sequences for structural world prediction training.
Computer Vision Teams
Highly annotated temporal boundaries, object coordinates, and hand keypoint markers.
AI Data Companies
Consent-clean, ethically gathered human task demos to diversify broad data catalogs.
Universities & Research Labs
Academic-aligned custom pilots to validate imitation learning and manipulation theories.
Physical AI models cannot scale on fragmented, synthetic, or scraped video logs.
Many teams train policies on unstandardized datasets that suffer from severe limitations:
- Legal & Ethical liabilities: Web-scraped clips lack explicitly documented, commercial-use contributor consent.
- No annotation depth: Raw video files miss temporal action boundaries, grasp-contact triggers, and object states.
- Environmental bias: Fixed camera angles and single-view logs fail to generalize across real-world workspaces.
Rigorous, consent-documented human demonstration workflows.
We design custom protocols that isolate physical primitives and output structured, release-ready dataset packages:
- Multiview recording: Synchronized ego-worn (chest/head) and static environmental views capture the full workspace state.
- 100% consent-clean: Every session is verified against a versioned digital consent agreement with paid participants.
- Complete annotation layer: Level 1 metadata down to Level 7 outcome and recovery logs, formatted in parquet and JSONL.
Capabilities Preview
First dataset focus: Service Work.
A preliminary catalog showcasing task families collected in controlled test apartments and facility service mockups.
Service Work Demonstration Dataset v0.1
The flagship RoboWorkData collection: consent-based human task demonstrations spanning cleaning, tidying, object handling, and light logistics in controlled environments.
Cleaning & Surface Interaction Dataset
Focused demonstrations of surface wiping, spill response, and simulated floor-cleaning routines across mock service environments.
Household Tidying Mock-Apartment Dataset
Tidying, folding, and organizing demonstrations captured in a furnished mock apartment built specifically for controlled data collection.
Operating Pipeline
From protocol design to validated delivery.
How RoboWorkData designs, collects, reviews, and packages custom demonstration datasets.
PHASE_01
Requirements
Customer defines target models, environments, task families, and camera perspectives.
PHASE_02
Task Design
Ontology design separating distinct action verbs, start states, and target configurations.
PHASE_03
Collection Protocol
Specification of cameras, workspace markers, lighting setups, and allowable variations.
PHASE_04
Contributor Selection
Filtering pool by location, device types, languages, and upload bandwidth.
PHASE_05
Consent & Onboarding
Contributors complete legal consent logs and pass standardized tutorial tests.
PHASE_06
Multiview Capture
Continuous take recording across ego-wearable and static environmental angles.
PHASE_07
Data Ingestion
Lossless original uploads securely stored in private cloud storage.
PHASE_08
Synchronization
Aligning separate camera feeds using software markers and frame-alignment matching.
PHASE_09
Privacy Review
Automated heuristics flag and human annotators redact face and display identifiers.
PHASE_10
Annotation
Applying temporal action boundaries, object labels, and manipulation events.
PHASE_11
Human QA
Auditing submissions against the nine-point verification guidelines.
PHASE_12
Dataset Packaging
Formatting metadata as CSV, JSONL, or Parquet alongside synchronized clips.
PHASE_13
Commercial Licensing
Releasing cleared data with absolute ownership guarantees for B2B training.
PHASE_14
Scale-Up
Onboarding wider geographical pools to capture environment and lighting variance.
Metadata & Quality Assurance
Structured annotations, not raw footage dumps.
Every video demonstration is run through our redaction and labeling queue, verified by human reviewers against our 9-point criteria before delivery.
- Task verb ontology and natural language instructions
- Precise temporal segments (start/end millisecond timestamps)
- Workspace environment, camera specification, and active object labels
- Privacy clearing blurs applied on screens, badges, and faces
- Quality grades (A · B · C · Reject) with structured check logs
Annotation Level 2 Preview
{
"episode_id": "RWD-SORT-000042",
"start_time_s": 4.20,
"end_time_s": 6.85,
"action": "pick_up",
"active_object": "plastic_bottle",
"active_hand": "right",
"outcome": "success",
"confidence": 0.97
}Record safe workspace tasks. Get paid for accepted clips.
Help create the structured real-world task demonstrations used to develop the next generation of robotics and Physical AI systems. Selected contributors receive clear assignments, onboarding, compensation, and project-specific recording equipment.
Submit your application with gear specs.
Sign consent docs & receive camera kit.
Follow protocols and upload continuous takes.
Pass privacy redaction & quality check.
Receive weekly direct payouts per approved clip.
Minimum Age Required
18+ Years Old
Gear Package Status
Provided by Studio
Compensation Structure
Per Approved Episode
Approved Territories
International Openings
Ready to scope a custom dataset pilot?
Tell us the task family, environments, required annotations, and budget range — our studio team will follow up with a protocol proposal.