Data Tagging Specialist – Foreign Language (Chinese Speaker, Polish Speaker)
2025-04-24T09:00:14+00:00
WedoTech
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FULL_TIME
Lusaka
Lusaka
10101
Zambia
Business Management and Administration
Media, Communications & Writing
2025-04-30T17:00:00+00:00
Zambia
8
Job Type: Contract (1-month duration)
We are seeking Data Annotation Specialists to join our team and support our client’s machine learning projects. In this role, you will be responsible for accurately labeling and annotating a variety of datasets, playing a vital role in enhancing AI-driven technologies.
Requirements:
Fluency in English – Mandatory
Fluency in Chinese or Polish – Mandatory (Proficiency in multiple languages is a plus)
Please note: If you do not speak either Chinese or Polish, do not apply.
- Strong attention to detail with a focus on accuracy in data annotation
Ability to understand and strictly follow annotation guidelines
- Interest in technology with a willingness to learn and adapt to evolving project needs
- Excellent communication skills and the ability to work collaboratively in a team
- Strong organizational skills and the ability to manage and prioritize tasks efficiently
This entry-level opportunity offers a chance to build your skills in the fast-growing field of artificial intelligence while contributing to cutting-edge projects.
Feel free to share this opportunity with your network!
Strong attention to detail with a focus on accuracy in data annotation Ability to understand and strictly follow annotation guidelines Interest in technology with a willingness to learn and adapt to evolving project needs Excellent communication skills and the ability to work collaboratively in a team Strong organizational skills and the ability to manage and prioritize tasks efficiently
Strong attention to detail with a focus on accuracy in data annotation Ability to understand and strictly follow annotation guidelines Interest in technology with a willingness to learn and adapt to evolving project needs Excellent communication skills and the ability to work collaboratively in a team Strong organizational skills and the ability to manage and prioritize tasks efficiently
Strong attention to detail with a focus on accuracy in data annotation Ability to understand and strictly follow annotation guidelines Interest in technology with a willingness to learn and adapt to evolving project needs Excellent communication skills and the ability to work collaboratively in a team Strong organizational skills and the ability to manage and prioritize tasks efficiently
No Requirements
JOB-6809fd9e2688f
Vacancy title:
Data Tagging Specialist – Foreign Language (Chinese Speaker, Polish Speaker)
[Type: FULL_TIME, Industry: Business Management and Administration, Category: Media, Communications & Writing]
Jobs at:
WedoTech
Deadline of this Job:
Wednesday, April 30 2025
Duty Station:
Lusaka | Lusaka | Zambia
Summary
Date Posted: Thursday, April 24 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Job Type: Contract (1-month duration)
We are seeking Data Annotation Specialists to join our team and support our client’s machine learning projects. In this role, you will be responsible for accurately labeling and annotating a variety of datasets, playing a vital role in enhancing AI-driven technologies.
Requirements:
Fluency in English – Mandatory
Fluency in Chinese or Polish – Mandatory (Proficiency in multiple languages is a plus)
Please note: If you do not speak either Chinese or Polish, do not apply.
- Strong attention to detail with a focus on accuracy in data annotation
Ability to understand and strictly follow annotation guidelines
- Interest in technology with a willingness to learn and adapt to evolving project needs
- Excellent communication skills and the ability to work collaboratively in a team
- Strong organizational skills and the ability to manage and prioritize tasks efficiently
This entry-level opportunity offers a chance to build your skills in the fast-growing field of artificial intelligence while contributing to cutting-edge projects.
Feel free to share this opportunity with your network!
Work Hours: 8
Experience: No Requirements
Level of Education: professional certificate
Job application procedure
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