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Remote Data Labeling and Annotation – 3–4 Hours Evening Work – Students Welcome

Mashreq Bank

España

A distancia

EUR 70.000 - 90.000

A tiempo parcial

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading data services company seeks detail-oriented individuals for a Remote Data Labeling and Annotation role. This part-time position is perfect for students and offers flexible working hours in the evenings. Training will be provided. Candidates will gain experience in AI and data management while working remotely.

Servicios

Fully remote work
Flexible hours
Performance incentives
Certificate of experience

Formación

  • Basic computer literacy and the ability to navigate online tools.
  • Strong attention to detail and commitment to accuracy.
  • Self-motivated with the ability to work independently.

Responsabilidades

  • Annotate and label data, images, videos, or text files.
  • Review and verify the accuracy of labeled data.
  • Identify inconsistencies or errors in datasets.

Conocimientos

Attention to detail
Basic computer literacy
Good communication skills in English
Descripción del empleo
Job Summary

MNC JOBS INFO is seeking detail-oriented and motivated individuals for a Remote Data Labeling and Annotation role. This position is ideal for students, part-time job seekers, and individuals looking to earn from home in the evenings. In this role, you will contribute to the development of AI and machine learning systems by tagging, categorizing, and annotating data with high accuracy. No prior professional experience is required—comprehensive online training will be provided.

Key Responsibilities
  • Annotate and label data, images, videos, or text files according to given instructions.
  • Review and verify the accuracy of labeled data to ensure quality standards.
  • Identify inconsistencies or errors in datasets and report them to the project team.
  • Follow clear annotation guidelines to contribute to AI and ML model training.
  • Maintain confidentiality and handle sensitive data responsibly.
  • Complete daily/weekly assignments within the given timelines.
Required Skills and Qualifications
  • Basic computer literacy and the ability to navigate online tools or software.
  • Strong attention to detail and commitment to accuracy.
  • Ability to follow written instructions and complete repetitive tasks efficiently.
  • Good communication and comprehension skills in English.
  • Self-motivated with the ability to work independently.
Experience
  • No prior experience required – freshers and students are encouraged to apply.
  • Previous experience in data entry, content moderation, or data annotation is a plus but not mandatory.
Working Hours
  • Flexible remote work for 3–4 hours in the evening.
  • Choose shifts that fit your schedule, ideal for students or individuals seeking part-time work.
Knowledge, Skills, and Abilities
  • Familiarity with MS Office or Google Workspace is an advantage.
  • Basic understanding of AI and data processing is a plus.
  • Strong organizational and time management skills.
  • Ability to maintain focus and deliver consistent quality work.
Benefits
  • Fully remote work – no commuting required.
  • Flexible hours designed for part-time or evening schedules.
  • Paid per project or task completion with performance incentives.
  • Opportunity to learn about AI, machine learning, and data handling.
  • Certificate of experience for top-performing candidates.
Why Join

At MNC JOBS INFO, we offer a flexible, beginner-friendly remote role that allows you to gain experience in one of the fastest-growing sectors—AI and data management. You will join a supportive environment where students, freelancers, and part-time professionals can earn while learning valuable digital skills.

How to Apply

Interested candidates can apply by sending their updated resume and a brief introduction to our recruitment email or by filling out the online application form on the MNC JOBS INFO careers page. Shortlisted candidates will receive task-based instructions and an online orientation session.

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