Data Manager (Remote)

Hire Feed; España; Presencial; EUR 28.000 - 36.000; Jornada completa

Descripción de la vacante

Hire Feed is seeking a Human Data Manager, New Grad in Spain to ensure data accuracy for AI/ML models. You will perform manual reviews, annotate data, and validate datasets against quality criteria, collaborating with cross-functional teams to maintain high data standards.

The role emphasizes attention to detail, data visualization familiarity, and clear reporting of data issues and resolutions to engineers and product teams.

Formación

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Familiarity with data annotation, labeling, or quality assurance processes.
• Experience with spreadsheets, databases, or data visualization tools.
• Strong attention to detail and ability to spot discrepancies in large datasets.
• Proficiency in written and verbal communication for reporting issues and solutions.

Responsabilidades

• 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.

Conocimientos

Data annotation

Spreadsheets & databases

Attention to detail

Communication

Educación

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

Descripción del empleo

We are hiring for one of our clients, seeking a Human Data Manager, New Grad to work on a full-time basis. The role involves ensuring the accuracy and integrity of data used in AI and machine learning models by performing quality checks, correcting errors, and validating outputs. You will collaborate with cross-functional teams to maintain high standards for datasets that power automated systems.

Key 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

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or a related field
• Familiarity with data annotation, labeling, or quality assurance processes
• Experience with spreadsheets, databases, or data visualization tools
• Strong attention to detail and ability to spot discrepancies in large datasets
• Proficiency in written and verbal communication for reporting issues and solutions

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 trusted AI systems. The position supports long-term initiatives focused on responsible data practices and model accuracy.

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.