AI Data Quality Manager — New Grad

Hire Feed

Colombia

Presencial

COP 36.000.000 - 48.000.000

Jornada completa

Hace 9 días
Generador de candidaturas

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Descripción de la vacante

Hire Feed is hiring a Human Data Manager, New Grad to join as a full-time team member. The role focuses on ensuring the accuracy and integrity of data used in AI and ML models, performing quality checks, correcting errors, and validating outputs in collaboration with cross-functional teams.

The position emphasizes maintaining high data standards, annotating and documenting data processes, and supporting responsible data practices in a global analytics environment.

Formación

  • Bachelor's degree in Computer Science, Data Science, or related field.
  • Experience with data annotation, labeling, or quality assurance.
  • Familiarity with spreadsheets, databases, and data visualization tools.
  • Strong detail orientation and clear written/verbal communication.

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

Attention to detail
Communication
Quality assurance

Educación

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

Herramientas

Spreadsheets
Databases
Data visualization

Descripción del empleo

Hire Feed is hiring a Human Data Manager, New Grad to join as a full-time team member. The role focuses on ensuring the accuracy and integrity of data used in AI and ML models, performing quality checks, correcting errors, and validating outputs in collaboration with cross-functional teams.

The position emphasizes maintaining high data standards, annotating and documenting data processes, and supporting responsible data practices in a global analytics environment.

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