The people behind the labels
A model is only as good as the labels it learns from. At NextAI Pros, those labels are made by people. Our annotators and project managers turn raw images, video and text into training data you can trust.
The team in numbers
50,000+ vehicle images labelled — and counting.
At NextAI Pros, we fuel the future of artificial intelligence with high-quality, scalable data annotation. We specialize in delivering the precise, reliable training datasets your machine learning models need to thrive across any industry.
Featured Experts
Our labels are made by people. A founder leads the team, project managers run the day-to-day work, and trained annotators do the labelling. Each group has a clear job, and each one matters.
Project managers turn a brief into clear instructions. Annotators follow those instructions, item by item. And every batch is checked before it leaves. Here is who does what.
Founder
image annotation video annotation quality review project leadership
The founder leads NextAI Pros and sets the standard for how work is done. Every project starts with a clear brief, agreed label classes and a quality bar the team must meet. The founder works with the project managers on guidelines, schedules and delivery, so every client has one clear point of contact from the first message to the final files.
8 Project Managers
guidelines scheduling client contact quality review
Project managers run the guidelines, the schedule and the client contact. They turn a client’s brief into clear instructions for the annotators, check progress every day and review work before it leaves. If a label is unclear, they ask the client — they do not guess.
30+ Annotators
image annotation video annotation text annotation quality review
Annotators label the data. They work on bounding box, polygon, semantic segmentation, keypoint detection, image classification and object tracking, across image, video and text. Every annotator is trained before they start, and every batch passes three-stage QA.
What the Team Labels
In general terms, annotators work on bounding box, polygon, semantic segmentation, keypoint detection, floorplan and blueprint annotation, medical image labeling, and video annotation.
Tools used by the team include CVAT, Roboflow, Label Studio, LabelMe and Supervisely. Exports include COCO JSON, YOLO and Pascal VOC.
Every batch passes three-stage QA, with corrections before delivery, targeting 98%+ accuracy. See our services, image annotation and video annotation.
Tools the team uses every day
The team sets up the annotation tools for each project and works in CVAT, Roboflow, Label Studio, LabelMe and Supervisely. Labelled data is delivered in the formats your model needs — COCO JSON, YOLO and Pascal VOC — with documentation and a short guide. If a label is unclear, the team asks the client. It does not guess.
Our Vetting & Quality Assurance Process
How we guarantee quality
Trained annotators
Every annotator is trained before they start work. Training covers the annotation tools, the label classes and the guidelines for each project, so labels are consistent from the first batch to the last.
Three-stage QA
Every batch passes three-stage QA. First the annotators self-check their work. Then a QA specialist reviews it against the guidelines. Then it is checked again before delivery. Each stage can send work back.
Specialist checks
Specialist checks look at the work of each annotator against the guidelines. A second pair of eyes catches edge cases early, before small mistakes reach the full batch.
Corrections before delivery
Corrections are made before delivery, not after. If a label is wrong or a guideline is not followed, the batch is fixed and checked again. A client does not receive unchecked work.
Our Services
Image Annotation
Video Annotation
Text Annotation
All Services
How Your Data Flows Through the Team
1. Understanding the Need
We begin with an open discussion. We learn your project goals, the type of data you have, and the level of detail your labels need.
2. Tailored Data Annotation Plan
Based on your requirements, we design a custom action plan. It covers label classes and examples, key edge cases, and the quality checks for the work.
3. Annotation Tool Setup
We set up the tools for your project, ready to handle volume. We work in CVAT, Roboflow, Label Studio, LabelMe and Supervisely.
4. Execution by Skilled Annotators
Our expert annotators label the data, one image, video frame or document at a time. They follow the plan and the guidelines for every item.
5. Ensuring Quality Through Rigorous QA
Every batch passes three-stage QA against a 98%+ accuracy target. A QA specialist reviews each batch against the guidelines, and corrections are made before delivery.
6. Seamless Delivery
We deliver in the formats you need, such as COCO JSON, YOLO and Pascal VOC, with documentation and a clear file structure. If a format is not listed, ask us.
Ready to Put Our Team to Work on Your Project?
Send your data type, label classes, rough volume and deadline. A project manager will reply about the next step. Email info@nextaipros.com or use the contact page.
Frequently asked questions about our data annotation team
Who is on the NextAI Pros data annotation team?
The team is led by the founder, with 8 project managers running the guidelines, schedule and client contact, and 30+ trained annotators labelling images, video and text. Every annotator is trained before they start work.
What does the team label?
The team labels images, video, text, audio and LiDAR data — bounding boxes, polygons, semantic segmentation, keypoint detection, object tracking, floorplan and blueprint annotation, and medical image labelling.
How does the team guarantee 98%+ accuracy?
Every batch passes three-stage QA: annotators self-check their work, then a QA specialist reviews it against the guidelines, and it is checked again before delivery. Corrections are made before delivery, never after.
Which annotation tools does the team use?
The team works in CVAT, Roboflow, Label Studio, LabelMe and Supervisely, and delivers labelled data as COCO JSON, YOLO or Pascal VOC, with documentation and a short guide.
Who manages my project?
A project manager owns your guidelines, schedule, client contact and delivery. The founder works with project managers on guidelines, schedules and delivery. If a label is unclear, the team asks the client — it does not guess.
How do I start a project with the team?
Send your data type, label classes, rough volume and deadline through the contact page or by emailing info@nextaipros.com. A project manager will reply about the next step.