Remote Data Quality Manager for AI/ML

Jobs Ai; Dubai; On-site; AED 220,000 - 331,000; Full time

Job summary

Jobs Ai seeks a Human Data Manager, New Grad to work remotely on a full-time basis. You will ensure data accuracy and integrity for AI/ML models by performing quality checks, correcting errors and validating outputs, while collaborating with cross-functional teams.

You will annotate, review, and document data issues, support datasets powering automated systems, and uphold high data standards across projects, with opportunities to grow in data governance and analytics.

Qualifications

• Bachelor's degree in CS, data science or related field.
• Familiarity with data annotation, labeling, or QA processes.
• Experience with spreadsheets, databases or data visualization tools.
• Strong attention to detail and ability to spot discrepancies in large datasets.
• Proficient written and verbal communication for reporting issues and solutions.

Responsibilities

• Perform manual reviews of AI-generated data to identify inaccuracies, inconsistencies, or biases.
• Correct and annotate data points to improve model performance and reliability.
• Validate datasets against predefined quality criteria and business requirements.
• Document data issues and resolutions for future reference and team transparency.
• Communicate findings and recommendations to engineering and product teams.

Skills

Data annotation

Quality assurance

Spreadsheets

Databases

Data visualization tools

Attention to detail

Written and verbal communication

Education

Bachelor's degree in Computer Science, Data Science, or a related field

Tools

Spreadsheets

Databases

Data Visualization Tools

Job description

Jobs Ai seeks a Human Data Manager, New Grad to work remotely on a full-time basis. You will ensure data accuracy and integrity for AI/ML models by performing quality checks, correcting errors and validating outputs, while collaborating with cross-functional teams.

You will annotate, review, and document data issues, support datasets powering automated systems, and uphold high data standards across projects, with opportunities to grow in data governance and analytics.