Entry-Level AI Data Quality Analyst

Hire Feed; España; A distancia; PHP 223.000 - 357.000; Jornada completa

Descripción de la vacante

Hire Feed is seeking a Human Data Manager, New Grad to join our team on a full-time basis. The role focuses on maintaining high-quality datasets used in AI model training and evaluation, ensuring accuracy and relevance of labeled information.

Candidates will assist in refining data pipelines and annotation processes to improve machine learning workflows and data quality across projects. This entry-level position offers exposure to global AI initiatives and collaboration with cross-functional

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Data annotation

Quality assurance

Data validation

Attention to detail

Basic AI/ML concepts

Spreadsheet proficiency

Herramientas

Spreadsheets

Data management tools

Descripción del empleo

Hire Feed is seeking a Human Data Manager, New Grad to join our team on a full-time basis. The role focuses on maintaining high-quality datasets used in AI model training and evaluation, ensuring accuracy and relevance of labeled information.

Candidates will assist in refining data pipelines and annotation processes to improve machine learning workflows and data quality across projects. This entry-level position offers exposure to global AI initiatives and collaboration with cross-functional