HomeProjectsLegalAbout
Global Structured Data Collection For Physical AI

Real-world data.
At scale. (Test)
For Physical AI.

TaskAlpha coordinates a global network of contributors executing structured data collection across multiple programs. Raw, continuous, real-world footage — collected systematically, quality-controlled through two-tier review, and delivered at program scale.

View Projects →
Selective acceptance. Structured execution. Not a gig platform.
taskalpha · network.status
--:--:--
statusOPERATIONAL
active_programs4
active_contributors700
countries_active11
review_system2-tier
hours_captured5000 hrs
managedend-to-end
For contributors

Be part of the network from the start.

TaskAlpha is new. The contributors joining now are the founding layer of the network — the people who set the standard. Earn for real-world recordings from your own home, on your own schedule. No acting. No scripts.

→Earn per accepted minute of footage
→Record in your own space — kitchen, living room, outdoors
→Structured assignments — you always know what's needed
→Global — open to contributors worldwide
Selective acceptance · Not a gig platform
For teams that need data

Fully managed. Dataset-scale output.

Building robots, embodied AI, foundation models, or automation systems? We run the full pipeline — contributor recruitment, qualification, assignment, two-tier quality review, and delivery. You define the scope. We execute.

→Robotics, embodied AI, foundation model labs
→Enterprise automation and hardware companies
→Dataset-level integrity — not just per-file QC
→11+ countries · diverse real-world environments
network@taskalpha.io
4
Active programs
74
Contributors
2-tier
Review system
11
Countries
Managed
End-to-end
How it works
Structured execution
across every program

Project-scoped assignments

Every contributor is assigned to a specific project with its own scope, unit of production, and quality standards. Nothing is open-ended.

Technical screening first

Before personal details are collected, applicants complete a project-specific technical qualification. A short qualification clip (under 15 seconds) is automatically validated before any human reviews it.

Two-tier review

All submissions pass through Tier 1 (recording validity + clip editing) and Tier 2 (content integrity + duplicate detection). Payment only releases after both tiers approve.

Dataset-level integrity

QC operates at the dataset level, not per file. Duplicate detection, behavioral monitoring, and an explicit fraud policy protect data quality at scale.

Pathway
Apply → Qualify → Contribute
01

Technical qualification

Submit a short qualification clip (under 15 seconds) meeting technical spec. Auto-validated before human review. Fail = specific feedback + one retry.

02

Detail capture

Once qualified: personal info, residency verification (cross-checked against geolocation), payment setup, agreements.

03

Project assignment

Approved contributors are assigned to projects matching their environment profile, device capability, and geography.

04

Submit & review

Submit recordings. Two-tier review: Tier 1 validates and clips. Tier 2 checks integrity. Payment follows two-step approval.

05

Payment

Compensation based on accepted duration after Tier 1 editing. Ops approves batch before any payment is processed.

Contribute to the physical world model for AI systems

TaskAlpha™ v0.40 · Data collection only