High-Signal Reasoning Problems, Authored for You
We write problems hard enough to separate models, with verified solutions and difficulty calibrated against your current baseline — across mathematics, code, science, and logic.
- B-114deliveredProblem authoring99.1% QA
- B-115deliveredSolution verification98.6% QA
- B-116in qaDifficulty calibration74%
- B-117runningContamination check38%
Scale your reasoning data with experts who work in your existing tools.
Writers to Domain Experts
Problem authors at volume for math, code, science, legal, finance, and more.
Any Tool
Use off-the-shelf, open-source, or your custom annotation tooling.
Every Reasoning Type
Math, logic, multi-hop, coding challenges, domain-specific problems, and more.
One Team Running Your Reasoning Data End to End
One programme, run end to end, delivering original problems and solutions for training reasoning models, building evaluation sets, and process supervision.
End-to-End Delivery for Problem Authors
Problem writers for volume, domain SMEs for math, code, science, and specialized fields, and QA reviewers for correctness. Find the right people for any reasoning data project.
Work Happens in Your Tooling
Authors work inside your document systems, custom interfaces, or internal data pipelines. You control access and permissions. Your data never leaves your systems.
Communication and Project Hub
Built-in chat, instruction editor, and everything you need to coordinate problem authoring across distributed teams. Share guidelines, manage review cycles, and calibrate difficulty levels in one place.
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.
Deliver Problem Authors at Scale for Any Reasoning Type
We get a shortlist of qualified writers and SMEs ready to start authoring. What we deliver:
How ReinforcedX Works for
Reasoning Problem Creation
Create your account, scope a project, and commission specialists who work inside your existing tools.
Send Us the Spec
Describe your problem format, difficulty requirements, and domain needs. Receive proposals from writers and SMEs with relevant experience in reasoning tasks, solution authoring, or your target field.
We Work In Your Tools
We agree the spec, then run delivery inside your document systems, custom interfaces, or internal data pipelines.
Communicate and Pay in One Place
Share guidelines and solution specifications, message your team, and handle global payments from a single dashboard.
Post Your Reasoning
Data Job Now
Send us a sample batch and we will come back with a spec and a quote.
Large Project? We
Can Help.
A standing programme, run end to end, for continuous or large-volume work.
Start Building Your Reasoning Data
Team Today
Send us your first batch and get problem authors and domain SMEs who can deliver original problems, step-by-step solutions, and the high-quality reasoning data your models need.
Reasoning Problem Creation Workspace
Track delivery
Where AI Teams Deliver Problem Authors at Scale
The largest network of reasoning data specialists, ready to work in any tool or internal workflow.
FAQs about Delivery for Reasoning Problem Creation
Quick answers to common questions about reasoning data on ReinforcedX.
What kinds of reasoning problems do you deliver?
The full range for reasoning problem creation: 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.
Do you cover domain experts, not just general problem writers?
Yes. Tell us the shape of the reasoning problem creation work and we will come back with a scope, a quality bar, and a price before anything starts.
How do I ensure problem quality and correctness?
Yes — tell us what you need for reasoning problem creation and we will scope it, agree the quality bar, and deliver against it. Every batch is reviewed before it reaches you.
Which tools do you work in?
We work inside whatever you already run — Label Studio, CVAT, V7, Argilla, Prodigy, or your own internal tooling. You control access and permissions, your data stays where it is, and the reasoning problem creation output lands in your system rather than ours.
How does pricing work for reasoning data projects?
Reasoning problem creation 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.
I have a large project. Do you offer a managed service?
Yes — tell us what you need for reasoning problem creation and we will scope it, agree the quality bar, and deliver against it. Every batch is reviewed before it reaches you.
Deliver for Any Platform or Internal Tooling
Deliver problem authors on ReinforcedX, then invite them to any annotation tool, document platform, or your own internal systems.
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 reasoning problem creation 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.