Computer-Use Agent Data,
Captured and Labelled
We record, segment, and annotate real screen trajectories — clicks, keystrokes, and tool calls — so your agent learns from demonstrations that match the software your team actually runs.
- B-114deliveredScreen capture99.1% QA
- B-115deliveredAction segmentation98.6% QA
- B-116in qaIntent labelling74%
- B-117runningQuality review38%
The easiest way to find AI trainers who can demonstrate the
workflows and skills your agents need to learn.
Skilled Operators
Trainers fluent with real software, not basic clickers
Any Environment
Work in your VMs, sandboxes, staging accounts, or internal tooling
Domain Expertise
Real-world experience in finance, support, sales, IT, and more
One Team Running Your Computer Use Training End to End
One programme, run end to end, producing trajectory data, evaluates agent runs, and generates preference signal for your computer use agents.
End-to-End Delivery for Computer Use Training
Our delivery team across every domain, software category, and language. Managed and ready for your projects.
Work Happens in Your Environment
Our delivery team operate inside your VMs, sandboxes, or staging accounts. You control access. Your infrastructure stays where it is.
Communicate and Manage Work
Share project instructions and message your team with built-in tools. No need for separate docs or chat apps.
Secure Global Payments and Transparent Pricing
Pay our delivery team in any country from a single dashboard. You set the rates, we add a small fixed fee on top. No hidden costs, no chasing invoices.
Scale Computer Use Data With a Global Network of our delivery team
Every batch is reviewed before it reaches you. You get a shortlist of qualified our delivery team ready to start working in your environment. What we deliver:
How ReinforcedX Works for
Computer Use Agent Training
Scope a project, commission qualified our delivery team, and manage everything from one platform. Your environments and workflows stay exactly where they are.
Scope Your Project and Get a Scope and Quote
Describe your target OS, applications, and task types. Receive proposals from our delivery team who have already been screened for software proficiency.
We Work In Your Environment
We agree the spec and grant them access to your VMs, sandboxes, or staging accounts.
Communicate and Pay in One Place
Share guidelines, message your team, and handle global payments from a single dashboard.
Post Your Computer
Use Training Job Now
Create an account and post your first job
in minutes.
Large Project? We
Can Help.
Get a dedicated team managed end-to-
end for large or ongoing trajectory
collection projects.
Start Building Your Computer Use
Training Team Today
Send us your first batch and get managed our delivery team ready to demonstrate the workflows your agents need to learn.
Computer Use Agent Training Workspace
Track delivery
How Top AI Labs Scale Trajectory Data
Specialists across dozens of professional domains, ready to demonstrate workflows in your environments.
FAQs About Computer Use Agent Training
Common questions about delivery our delivery team to produce trajectory data and evaluate your computer use agents.
How do you assure quality on computer use work?
Every batch is sampled and scored against the rubric agreed at kickoff, with a second reviewer on anything ambiguous and independent adjudication where reviewers disagree. You get the inter-rater agreement figure with each delivery, so computer use agent training quality is a number you can track rather than a claim we make.
What kinds of computer use training tasks do you deliver?
The full range for computer use agent training: we scope the task types with you at kickoff, produce them against your schema, and QA every batch before it reaches you. If a task type is unusual, we pilot it on a small batch first so you can judge the output before committing volume.
Which environments do you work in?
Web applications, desktop and OS environments, internal line-of-business tools, and custom sandboxes. If you can give us access to it, we can run computer use agent training against it — including staging environments with synthetic data.
What domains and software categories are available?
Web applications, desktop and OS environments, internal line-of-business tools, and custom sandboxes. If you can give us access to it, we can run computer use agent training against it — including staging environments with synthetic data.
How does pricing work?
Computer use agent training is priced per delivered unit against an agreed quality bar, or as a fixed monthly fee for a standing programme. You get the full number in writing before work starts, and you are not billed for batches that fail QA.
What is Managed Service, and when should I use it?
A managed programme means we run the whole computer use agent training pipeline end to end — staffing, tooling, QA, and reporting — inside your environment. It is the right choice once volume is continuous or the work spans several teams, because you stop coordinating batches and start receiving them.
Deliver for Any Computer Use Training Tool
Our delivery team work in your VMs, sandboxes, recording infrastructure, or any custom environment.
Join the #1 Platform for AI Delivery
Three ways to work with us, from a single batch to a standing programme.
Scope Your Project
Send us the spec and we scope the work, agree the quality bar, and start delivering. We run inside the tools you already use, so output lands where your team works.
Done-for-You
We staff, run, and QA the whole programme inside your tools. End-to-end operations for large or complex projects.
Join as an delivery lead
Keep a standing delivery pipeline running against your roadmap, with quality reported every week.
Working with us
How soon can computer use agent training work start?
Typically within a week or two of a scope being agreed. The first delivery is deliberately a small batch so you can check the output against your expectations before volume ramps.
What do you need from our team?
One process owner who knows the workflow, one engineer with access to the systems involved, and a weekly 45-minute review. No standing committee, and no requirement for an ML specialist on your side.
Who owns the output and the data?
You do. Datasets, labels, weights, evaluation suites and runbooks are yours and are handed over at the end. Your data trains your models only, with zero-retention provider settings by default.
Can you scale volume up quickly if we need it?
Yes, and the quality bar holds because the rubric and gold set are already agreed by that point. Ramping is a staffing question, not a re-scoping one, so it usually takes days rather than a new engagement.
We already have a vendor for this. Why switch?
Often you should not. The cases where teams move to us are when they cannot get a quality number out of their current vendor, or when the work is delivered as an opaque batch with no trace of how disagreements were resolved.
What happens after the engagement ends?
We stay on-call for 30 days at no extra cost, then move to an optional support retainer. Most teams also keep a quarterly evaluation review with us to catch drift early.