Data and AI

Image and Video Annotation

Label images and video accurately for the computer vision models that power self-driving cars, medical imaging, and content moderation

10h4 lessonsTier 1 hireabilityTier 1 certificate

What you'll be able to do

You can accurately draw bounding boxes, polygons, and segmentation masks, follow detailed labeling guidelines consistently across large volumes of work, and recognise common annotation quality issues before they reach review.

Job titles this qualifies you for

AI Training SpecialistData Annotator
Market intelligence
Demand
High
Remote
95% remote roles
Nigeria salary
Not a primary local hiring category — paid per task/hour in USD regardless of contributor location
Remote (USD)
Highly variable by platform and task type: roughly $10-20/hour for basic annotation (Appen), $20-40/hour for skilled annotation/evaluation tasks broadly, up to $43-63/hour reported for Remotasks, and $20-75+/hour for Scale AI's more specialised contributor categories

Lessons

Stage 1 — Foundation
1
Bounding Boxes and Object Detection Labelling
30 min
2
Polygons and Semantic Segmentation
30 min
Stage 2 — Applied
1
Video Annotation and Tracking Consistency
30 min
2
Quality Standards and Avoiding Common Annotation Errors
25 min
Tier 2 Proof Submission

Image and Video Annotation Portfolio

Demonstrate bounding box/polygon accuracy, video tracking consistency understanding, and quality/self-review discipline.

1.A partial-occlusion bounding box approach with a consistency explanation
2.A polygon-point-density judgement explanation
3.A keyframe interpolation verification explanation
4.A self-review checklist against project guidelines
Create a free account to join this programJoin free →