Human Data Specialist (Remote)

Hire Feed; Italia; Remote; EUR 70,000 - 110,000; Full time

Job summary

Hire Feed is seeking a Senior Human Data Manager to oversee data collection, validation, and annotation for AI training datasets in a fully remote setup. You will lead a team of human annotators, design guidelines, and coordinate with stakeholders to ensure high-quality data aligned with project goals.

The role emphasizes strong leadership, data quality focus, and collaboration across global teams to meet diverse client requirements in AI-driven solutions.

Qualifications

• Experience leading large-scale data annotation projects for AI/ML datasets.
• Proficiency in data validation and quality control for structured/unstructured data.
• Strong leadership to guide annotator teams and meet timelines.

Responsibilities

• Design and implement data annotation guidelines for consistency.
• Lead and mentor a team of human annotators to meet quality benchmarks.
• Collaborate with cross-functional teams to define data requirements for model training/evaluation.
• Monitor annotation workflows for efficiency and alignment with client standards.
• Develop data quality assessment frameworks and metrics.

Skills

Data annotation management

AI/ML data quality

Leadership

Annotation tools: Label Studio, Prodig

Requirement interpretation

Tools

Label Studio

Prodigy

Job description

We are hiring for one of our clients, seeking a Senior Human Data Manager to work on a full-time basis. This role involves overseeing data collection, validation, and annotation processes to ensure high-quality training datasets for AI models. The position requires managing teams of human annotators and coordinating with technical stakeholders to align data standards with project objectives.

Key Responsibilities:

• Design and implement data annotation guidelines to maintain consistency and accuracy across datasets.
• Lead and mentor a team of human annotators, ensuring adherence to project timelines and quality benchmarks.
• Collaborate with cross-functional teams to identify data requirements for AI model training and evaluation.
• Monitor data annotation workflows for efficiency, scalability, and alignment with client-specific standards.
• Contribute to the development of data quality assessment frameworks and performance metrics.

Required Skills & Qualifications:

• Experience in managing large-scale data annotation projects with a focus on AI/ML training datasets.
• Proficiency in data validation techniques and quality control processes for structured and unstructured data.
• Strong leadership skills to guide annotator teams and optimize workflow performance.
• Familiarity with annotation tools such as Label Studio, Prodigy, or similar platforms.
• Ability to interpret technical requirements and translate them into clear annotation instructions.

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 advancement of AI-driven solutions through high-quality human-annotated data. The position requires remote collaboration with international teams to meet diverse project demands.

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.