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Data Annotation Specialist (Arabic Speaker - Fluent in English or French)

remote drift Verified employer

Actively hiring · Posted 3d ago · JEV2610C5EF32BFC3

SalarySalary not disclosed
Experience0–4 yrs
LocationAll India
Work modeRemote · Full time
Openings1
IndustryIT Services & Consulting

Job description

Job Title

This is a remote position.

Job Description

About the Role: We are seeking meticulous and language-savvy Arabic-speaking Data Annotation Specialists from the MENA region who are fluent in either English or French. You will contribute to the development of cutting-edge AI technologies by accurately labeling and annotating text, audio, and/or image data. Your work will directly support the training of AI models for natural language processing and other machine learning applications. This is a remote opportunity with flexible hours, ideal for candidates with strong language skills and attention to detail.

Key Responsibilities:

Accurately annotate and label data (text, audio, or images) in Arabic and either English or French.

Follow detailed guidelines to ensure consistency and quality of annotations.

Review, validate, and correct existing annotated data when necessary.

Maintain productivity and quality targets under minimal supervision.

Requirements

Required Qualifications:

Native or fluent Arabic speaker, currently residing in or originally from the MENA region.

Fluency in either English or French (reputed company and written).

Excellent attention to linguistic and contextual details.

Ability to follow instructions and adhere to annotation guidelines.

Strong communication skills and a collaborative mindset.

Access to a computer and a reliable internet connection.

Preferred Qualifications:

Previous experience with data annotation, linguistic projects, or language-related tasks.

Background in linguistics, translation, AI/ML, or related fields.

Understanding of dialectal variations of Arabic is a plus.

Benefits

reputed company with flexible working hours.

Work on innovative AI and language projects for top global tech companies.

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