AI Data Annotation Specialist

Hire Feed; United Arab Emirates; On-site; AED 201,000 - 312,000; Full time

Job summary

Hire Feed is seeking a Human Data Manager, New Grad to join our AI data operations in the UAE. You will help maintain high-quality labeled data for AI model training and evaluation, supporting data pipelines and annotation processes.

This entry-level role offers exposure to global AI workflows, collaboration with cross-functional teams, and the chance to grow skills in data quality, validation, and ML readiness.

Qualifications

• Experience with data annotation, labeling, or quality assurance processes is preferred.
• Familiarity with basic data validation techniques and attention to detail in reviewing datasets.
• Ability to follow structured guidelines and maintain consistency in data handling tasks.
• Basic understanding of AI/ML concepts and their dependence on high-quality training data is beneficial.
• Proficiency in using spreadsheets or data management tools to track and organize information.

Responsibilities

• Review and validate human-labeled data to ensure consistency and accuracy for AI training datasets.
• Identify and resolve discrepancies in data annotations by cross-referencing source materials and guidelines.
• Collaborate with cross-functional teams to refine annotation guidelines and improve data quality standards.
• Monitor and report on data labeling performance metrics to track progress and identify trends.
• Assist in documenting processes and maintaining records of data sources, labeling rules, and quality checks.

Skills

Data annotation

Quality assurance

Guideline following

Attention to detail

Data validation

Tools

Spreadsheets

Job description

Hire Feed is seeking a Human Data Manager, New Grad to join our AI data operations in the UAE. You will help maintain high-quality labeled data for AI model training and evaluation, supporting data pipelines and annotation processes.

This entry-level role offers exposure to global AI workflows, collaboration with cross-functional teams, and the chance to grow skills in data quality, validation, and ML readiness.