Data Specialist (Remote)

Hire Feed; Teramo; Remoto; EUR 37.000 - 47.000; Tempo pieno

Descrizione del lavoro

Hire Feed is seeking a Data Specialist (Remote) to join a Human Data Manager, New Grad program. You will help maintain high-quality datasets used for AI model training, review annotations, and assist in refining data pipelines.

You will work with cross-functional teams to ensure data accuracy, follow structured guidelines, and contribute to ML workflow improvements. This is a full-time remote role with global impact.

Competenze

• Familiarity with labeling guidelines and data quality standards.
• Ability to follow structured processes and maintain consistency.
• Attention to detail and accuracy in reviewing datasets.
• Basic understanding of AI/ML concepts helpful.

Mansioni

• 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

Conoscenze

Data annotation

Quality assurance

Data validation

AI/ML basics

Spreadsheets

Strumenti

Excel

Descrizione del lavoro

• Role: Data Specialist (Remote)
• Location: Remote (Work from Anywhere)

Role Overview:

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 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 improving annotation processes for machine learning applications.

Key Responsibilities:

• 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

Required Skills & Qualifications:

• 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

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of reliable AI systems through precise data management. The position provides exposure to real-world applications of data in machine learning workflows.

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.