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Nairobi, Nairobi Central, 12/05
1285 views

Data Annotators

+1
12
Job Type
Freelance
Work Setup
Remote
Career Level
Junior
Application Deadline
01/05/2026
Responsibilities
Annotate and label various types of data according to project guidelines and specifications. Review annotated data for accuracy and completeness, making adjustments as needed. Work collaboratively with data scientists and engineers to ensure high-quality annotated data for machine learning models. Maintain organized and detailed records of annotated data and any changes made during the annotation process. Continuously learn and apply new annotation techniques and tools to improve efficiency and accuracy. Communicate any issues or challenges with data annotation to project leads in a timely and professional manner. Adhere to project deadlines and deliver annotated data within predetermined timelines.
Requirements & Skills
No prior experience required – full training will be provided Strong attention to detail and ability to follow instructions precisely Basic computer literacy (typing, internet navigation, file handling) Reliable internet connection and access to a computer or laptop Ability to work independently and manage time effectively Good comprehension of written English
Minimum Qualification Requirements
Familiarity with data entry, transcription, or content moderation Basic understanding of AI or machine learning concepts Experience with annotation tools (a plus, but not required)
Minimum Experience
1 year
Involves reviewing and labeling different types of data such as text, images, audio, or video to help train and improve artificial intelligence (AI) systems. As a Data Annotation Specialist, you will follow clear guidelines to tag, categorize, or highlight information so that machines can understand and learn from it accurately. In this role, you will work on structured tasks such as identifying objects in images, classifying text, transcribing audio, or marking key details within datasets. Your work directly contributes to the development of smarter technologies like chatbots, recommendation systems, and voice assistants. No prior experience is required, as training and instructions are provided. However, strong attention to detail, accuracy, and the ability to follow instructions are essential for success.
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