Apply Data Annotation & Labeling Course
Data Annotation & Labeling Course
-
Start Date :
20th - March - 2026
-
Course Duration:
5 Months
-
Mode of Learning :
In Person
-
Physical Address :
Kakuma 1, Hong Kong ,Next Youth Center 2
-
Registration Fee :
KES 1,000
-
Tuition Fee :
Free
-
Overview
Program Overview
This is an intensive professional training program in AI data operations, designed to prepare participants for high-accuracy roles in data annotation, content moderation, transcription, and quality assurance. Learners are trained to operate within real AI production pipelines, meeting strict quality, accuracy, and consistency benchmarks required by global technology companies.Scope and Focus: Data Annotation and Content Moderation
Data Annotation involves labeling data to train machine learning models, including image, text, audio, and video datasets. Content Moderation applies these skills to enforce platform policies and ensure digital safety by identifying harmful or non-compliant content. This program develops both technical precision and ethical judgment required for responsible AI data work.Course Duration
5 monthsWhat You’ll Learn
- Perform high-precision annotation across image, video, text, and audio datasets.
- Transcribe audio content at professional accuracy and speed standards.
- Apply content moderation policies consistently and objectively.
- Conduct quality assurance reviews to validate and improve annotation outputs
- Manage annotation workflows, task allocation, and review processes.
- Maintain focus, accuracy, and consistency under high-volume workloads.
Career Pathways
- Graduates are prepared for roles such as:
- Data Annotation Specialist
- Content Moderator
- Transcriptionist
- Annotation Project Coordinator
- AI Training Data Consultant
- Quality Assurance Analyst
Training Model: Intensive Production Simulation
The program follows a high-volume, performance-driven training model. Learners complete continuous annotation tasks using real datasets and industry tools. Progress is measured using quality scores, peer reviews, and project evaluations, ensuring readiness for professional production environments.Tools and Platforms
- Label Studio
- CVAT
- Supervisely
- V7
- Prodigy
- Doccano
- Amazon SageMaker Ground Truth
- Express Scribe
- oTranscribe
- Slack
- Jira
-
curriculum
There are no items in the curriculum yet
Complete the Form to Apply for Your Course
Please fill out this form accurately. Only applicants who meet the minimum eligibility criteria will be considered. Feedback will be provided via call, SMS, or email.
Apply Today
Welcome to the Data Annotation & Labeling Application Form!
Thank you for your interest in the Data Annotation & Labeling for AI Training at AReL. This program is designed to equip participants with practical skills in annotating and labeling datasets for AI and machine learning projects, alongside essential soft skills to prepare you for a successful career in the tech and AI industry.
The training will take place at the AReL Center, Hong Kong, Kakuma 1.
This form is intended to collect expressions of interest in the program. There are no right or wrong answers. The goal is to understand your background, motivation, and readiness for this training.
Please complete the form carefully and honestly. Your responses will help us identify and shortlist candidates who are ready to commit to this hands-on and rewarding learning experience.
