AI Data Annotation & Quality Lead

Hire Feed; Italia; Remoto; EUR 42.000 - 62.000; Tempo pieno

Descrizione del lavoro

Hire Feed is seeking a Human Data Manager to oversee data collection, validation, and management processes to ensure high quality for downstream AI applications. This is a full-time role based in Italy.

You will work with global teams to maintain human-annotated datasets, review data labels for consistency, and document labeling guidelines and quality control procedures. The position offers opportunities to improve data pipelines and contribute to scalable AI training data.

Competenze

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

Mansioni

• 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.

Conoscenze

Data annotation

Data validation

Data management

Attention to detail

Written communication

Strumenti

Label Studio

Prodigy

Descrizione del lavoro

Hire Feed is seeking a Human Data Manager to oversee data collection, validation, and management processes to ensure high quality for downstream AI applications. This is a full-time role based in Italy.

You will work with global teams to maintain human-annotated datasets, review data labels for consistency, and document labeling guidelines and quality control procedures. The position offers opportunities to improve data pipelines and contribute to scalable AI training data.