Careers at NextAI Pros
Work on data that teaches machines. NextAI Pros is a data annotation team. The work is careful, checked and practical: images, video and other data, labelled so a model can learn from them.
Shape the Future of AI. Build Your Career at NextAI Pros
NextAI Pros is a data annotation team. The work is careful, checked and practical: images, video and other data, labelled so a model can learn from them.
This page lists proposed data annotation careers only. It does not promise a job, a salary or a start date. About NextAI Pros
Why NextAI Pros? Our Values Define Us.
We are a small team that takes labelling seriously. Every annotator is trained, every batch is checked, and every client has one point of contact. These four things guide how we work.
Quality First
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.
Trained Before You Start
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.
One Team
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.
People First
A model is only as good as the labels it learns from. At NextAI Pros, labels are made by people — carefully, one item at a time, and checked before they leave.
Life at NextAI Pros
Life at NextAI Pros is the work itself: real data, real projects, and a clear process. The team labels images, video and text, in tools built for annotation, and every batch is checked before it leaves.
Real data, real projects
The team labels images, video and text for autonomous driving, healthcare, construction and GIS. The work covers bounding box, polygon, segmentation, keypoint detection and more.
Tools of the trade
The team works in CVAT, Roboflow, Label Studio, LabelMe and Supervisely, and delivers in COCO JSON, YOLO and Pascal VOC.
Checked before it leaves
Every batch passes three-stage QA. Annotators self-check, a QA specialist reviews, and the work is checked again before delivery. Nothing unchecked goes to a client.
Proposed roles only — not open jobs yet
Data annotators
image annotation video annotation polygon annotation segmentation
Image annotation, video annotation, polygon annotation and segmentation work, in general terms. Work covers bounding box, polygon, semantic segmentation, keypoint detection, image classification and object tracking, across image, video and text.
QA reviewers
three-stage QA 98%+ accuracy corrections
Checking labelled work in three stages, with corrections before delivery, targeting 98%+ accuracy. A QA specialist reviews each batch against the guidelines, and corrections are made before delivery.
Project managers
guidelines scheduling client contact
Owning guidelines, schedule and client contact for a project. 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.
A day in the role
Data annotators
image annotation video annotation polygon annotation segmentation
You open the day’s batch in CVAT, Roboflow, Label Studio, LabelMe or Supervisely, label images and video with bounding boxes, polygons and segmentation, and self-check your work before it goes to QA. If a label is unclear, you ask — you never guess.
QA reviewers
three-stage QA 98%+ accuracy corrections
You review labelled batches in three stages: first the annotator’s own self-check, then a specialist review against the guidelines, then a final check before delivery. Batches that miss the 98%+ target go back for correction before they leave.
Project managers
guidelines scheduling client contact
You turn a client brief into clear guidelines, set the schedule and keep the team on it, coordinate annotators and QA reviews, and own the client contact and delivery.
What you will learn / growth path — proposed
Step 1: Data annotator
image annotation video annotation polygon annotation segmentation
Start by learning the annotation tools and the label categories, and labelling real images and video under a project manager’s guidance. Every annotator is trained before they start work.
Step 2: QA reviewer
three-stage QA 98%+ accuracy corrections
Move to reviewing labelled batches: the annotator’s self-check, a specialist review against the guidelines, and a final check before delivery, keeping the 98%+ accuracy target.
Step 3: Project manager
guidelines scheduling client contact
Own a project end to end: turn the client brief into guidelines, set the schedule, coordinate annotators and QA reviews, and be the client contact at delivery.
Proposed roles only. None of these is an open job until the owner confirms it. No pay, bonus, perk, training or growth claim is made here. Those are still to confirm.
How to apply — once the owner confirms
Once the owner confirms a role, applications would go to info@nextaipros.com. A separate careers address is still to confirm, so no other address is used here.
Until confirmation, do not treat this page as a job advertisement. No application deadline, interview date or start date is stated.
Proposed hiring steps — to confirm
1. Apply by Email
Once a role is confirmed, include the role name in the subject line and send a short note about your annotation experience to info@nextaipros.com.
2. Annotation Test
An annotation test, to see careful work on a small sample.
3. Interviews
Interview rounds, number and format to confirm.
4. Trial Period
A trial period, length and terms to confirm.
Proposed only, to confirm. Not a confirmed hiring process. No step above is confirmed until the owner confirms it.
Interested? Wait for confirmation, then email us
What to include, once confirmed
Once a role is confirmed, include the role name in the subject line and send a short note about your annotation experience to info@nextaipros.com. Do not send a phone number or address in this draft note, and do not expect a reply date until confirmation.