# AI Sandbox Environments

> Sandbox environments for AI: who pays for RL environments and UI gyms, from per-task rates to a lab's whole contracts. 4 of 12 have a figure stated.

## Key facts


## Key pages

- [Sandbox environments for AI: who pays to build them, and in what unit](https://aisandboxenvironments.com/): the main tool, answer above the fold.
- [RL environment price: per task, per hour or per contract](https://aisandboxenvironments.com/rl-environment-price/): The units RL environment work is priced in, from a per-task contributor rate to a lab's whole contracts, with each figure quoted from its page.
- [UI gym: a cloned app where computer-use agents practise](https://aisandboxenvironments.com/ui-gym/): A UI gym is a replica of real software where an agent clicks and types its way through tasks. What builders on the board say they make, quoted.
- [RL environments for AI agents: what each builder says it makes](https://aisandboxenvironments.com/rl-environments-for-ai-agents/): RL environments for AI agents in the builders' own words: coding sandboxes, Linux desktop tasks, browser sandboxes and simulated systems, by the agent they train.
- [RL environment payers: the unit they pay in and the figure stated for each](https://aisandboxenvironments.com/#data): original data table, updated 2026-10-08.
- [Full site content as markdown](https://aisandboxenvironments.com/llms-full.txt)

## Data

- RL environment payers: the unit they pay in and the figure stated for each. Methodology: Each payer's own postings, pricing and buyer pages were read through estate-fetch and stored whole (sha256 on every row). For every page, five questions were answered from its own words: publishes a figure, unit of the figure, low end of the stated figure, high end of the stated figure, what is built. Every stated answer carries the sentence it rests on, checked against the stored text; 'not stated' means the page read does not address the question. A payer with several pages reads 'varies' where they disagree. 12 payers, 15 pages.
- Last updated: 2026-10-08. Every figure cites its source inline.
- Source: Mercor: Experienced Software Engineers (RL environments): https://work.mercor.com/jobs/list_AAABmGFJ15HzTwuYrydOQJn2/experienced-software-engineers
- Source: Mercor: Technical Reviewer, RL Environment Terminal Benchmarking (US): https://work.mercor.com/jobs/list_AAABmWuwiTty4fq67R9Id4lx/technical-reviewer-rl-environment-terminal-benchmarking-agentic-ai
- Source: Mercor: Technical Reviewer, RL Environment Terminal Benchmarking (India): https://work.mercor.com/jobs/list_AAABmWu3eSKR9nSVhWNLZajY/technical-reviewer-rl-environment-terminal-benchmarking-agentic-ai
- Source: Careerflow (Techstars board): Task Creator, RL Environments: https://jobs.techstars.com/companies/careerflow/jobs/91150177-ai-ml-software-engineer-task-creator-rl-environments-contract
- Source: Surge AI: RL Environments Architect: https://surgehq.ai/careers/rl-environments-architect
- Source: Mechanize (its own page, listed on this site's dataset page): https://aisandboxenvironments.com/datasets/sandbox-environment-buyers-and-specs/
- Source: Mechanize: announcement: https://www.mechanize.work/announcing-mechanize-inc/
- Source: Halluminate (its own page, listed on this site's dataset page): https://aisandboxenvironments.com/datasets/sandbox-environment-buyers-and-specs/

## Citation

Cite as: "RL environment payers: the unit they pay in and the figure stated for each", AI Sandbox Environments, https://aisandboxenvironments.com/ (updated 2026-10-08).

## About

- This site collects what builders of RL environments publish, and what reports say labs buy, and replies to builders' enquiries. Nobody pays to appear in the table. If a builder licenses an environment through an introduction we make, the environment's licensee pays our fee for that deal, at a rate written into the builder's agreement before the introduction, and the builder is not charged by us for it.
- Operated by aisandboxenvironments.com. Contact: enquiries@aisandboxenvironments.com