Information Manager (Remote)

Hire Feed; United Arab Emirates; On-site; AED 180,000 - 300,000; Full time

Job summary

Hire Feed is seeking a Human Data Manager to oversee data collection, validation, and management processes, ensuring accuracy for AI training and downstream applications.

You will maintain human-annotated datasets, review labels for consistency, collaborate with cross-functional teams, document methodologies, and monitor data pipelines to drive efficiency.

Qualifications

• Experience with data annotation, validation, or quality assurance processes is required.
• Proficiency in tools for data labeling, such as Label Studio or Prodigy, is preferred.
• Familiarity with spreadsheets, databases, or data management platforms is necessary.
• Attention to detail and ability to follow structured guidelines for data processing tasks.
• Strong written communication skills for documenting processes and guidelines.

Responsibilities

• Maintain and update human-annotated datasets used for training and evaluating AI models.
• Review and validate data labels to ensure consistency and quality across datasets.
• Collaborate with cross-functional teams to identify data requirements and resolve annotation discrepancies.
• Document data collection methodologies, labeling guidelines, and quality control procedures.
• Monitor data pipeline performance and implement improvements to enhance efficiency.

Skills

Data annotation

Data validation

Quality assurance

Attention to detail

Documentation

Written communication

Tools

Label Studio

Prodigy

Spreadsheets

Databases

Job description

We are hiring for one of our clients, seeking a Human Data Manager to work on a full-time basis. This role involves overseeing data collection, validation, and management processes to ensure accuracy and usability for downstream applications.

Key Responsibilities

• Maintain and update human-annotated datasets used for training and evaluating AI models.


• Review and validate data labels to ensure consistency and quality across datasets.


• Collaborate with cross-functional teams to identify data requirements and resolve annotation discrepancies.


• Document data collection methodologies, labeling guidelines, and quality control procedures.


• Monitor data pipeline performance and implement improvements to enhance efficiency.

Required Skills & Qualifications

• Experience with data annotation, validation, or quality assurance processes is required.


• Proficiency in tools for data labeling, such as Label Studio or Prodigy, is preferred.


• Familiarity with spreadsheets, databases, or data management platforms is necessary.


• Attention to detail and ability to follow structured guidelines for data processing tasks.


• Strong written communication skills for documenting processes and guidelines.

More About the Opportunity

This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to the development of high-quality AI training datasets. The position supports scalable data solutions that improve model performance across multiple applications.

Equal Opportunity Employer

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.