Image Annotation,
Delivered to Spec
Bounding boxes, polygons, keypoints, classification, and attributes — produced against your ontology, reviewed on every batch, and returned in your format. We run the pipeline; you get the labels.
- B-114deliveredBounding boxes99.1% QA
- B-115deliveredPolygons + keypoints98.6% QA
- B-116in qaAttribute pass74%
- B-117runningQA sampling38%
The easiest way to find expert image annotators for any data
labeling platform.
Experienced Annotators
Experienced with bounding boxes, polygons, keypoints, classification, and more
Any Tooling
Work in your annotation software, internal tools, or custom platform
Global Scale
Staff projects of any size from a worldwide network
Image Annotation — batches in flight
End-to-End Delivery
for Image Annotation
The largest network of data labeling specialists, ready to work. Find experienced annotators for any project, any scale, any use case.
Work Happens in Your Stack
Our annotation team work inside your annotation platform or custom tooling. You control access and permissions. Your data stays where it is.
Communicate and Manage Work
Built-in chat, instruction sharing, and everything you need to track delivery in one place. No separate apps required.
Secure Global Payments and Transparent Pricing
Pay our annotation 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 Image Annotation With a Global Network of Experienced Labelers
We get a shortlist of qualified our annotation team ready to start working in your annotation platform. What we deliver:
How ReinforcedX Works for
Image Annotation
Scope a project, commission qualified our annotation team, and manage everything from one platform. Your data and tools stay exactly where they are.
Send Us the Spec
Describe your annotation tasks, label types, and quality requirements. Receive proposals from our annotation team with relevant experience.
We Work In Your Tooling
We agree the spec, then run delivery inside your annotation platform or custom tooling.
Communicate and Pay in One Place
Share guidelines, message your team, and handle global payments from a single dashboard.
Post Your Image
Annotation 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 Image Annotation
Team Today
Send us your first batch and get experienced our annotation team who can deliver accurate, consistent labels at any scale.
Image Annotation Workspace
Track delivery
How Teams Scale Image Annotation
The largest network of data labeling specialists, ready to work in any annotation platform.
FAQs About Image Annotation
Short answers to common questions about image annotation on ReinforcedX.
What kinds of image annotation do you deliver?
The full range for image annotation: 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.
Can you verify and correct model pre-labels?
Yes, and it is usually the cheapest way to run image annotation. We take your model's predictions, correct what is wrong, and return both the corrected labels and a breakdown of where the model failed — which is often more useful than the labels themselves.
Which annotation 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 image annotation output lands in your system rather than ours.
How do I keep labels consistent across multiple annotators?
A written guideline agreed up front, a qualification task everyone passes before touching production data, and a gold set that runs continuously through the queue. Agreement is measured per batch, and drift triggers a recalibration rather than a surprise at the end.
How does pricing work for image annotation projects?
Image annotation 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 the difference between a single batch and a managed programme?
A single batch is one scoped delivery: we agree the spec, produce it, QA it, and hand it back. A managed programme is a standing pipeline against your roadmap — same team, recurring volume, quality reported weekly, and a named engineer who stays with the account.
Deliver for Any Image Annotation Tool
Deliver our annotation team on ReinforcedX, then invite them to any annotation platform or your own custom tooling.
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 image annotation 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.