Remote Human Data Lead for AI Training

Hire Feed

Prato

Remoto

EUR 79.000 - 105.000

Tempo pieno

2 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Hire Feed is seeking a Senior Human Data Manager to oversee data collection, validation, and annotation processes for high-quality AI training datasets. This remote, full-time role involves leading annotator teams and coordinating with technical stakeholders to align data standards with project goals.

You will design guidelines, mentor staff, and ensure timelines and quality benchmarks while collaborating with international teams to meet diverse project demands.

Competenze

  • Experience managing large-scale data annotation projects for AI/ML training.
  • Proficiency in data validation and quality control for structured and unstructured data.
  • Strong leadership to guide annotator teams and optimize workflows.
  • Familiarity with Label Studio or Prodigy.
  • Ability to translate technical requirements into clear annotation instructions.

Mansioni

  • Design and implement annotation guidelines for consistency across datasets.
  • Lead and mentor annotator team, ensuring timelines and quality benchmarks.
  • Collaborate with cross-functional teams to define data needs for AI model training.
  • Monitor data annotation workflows for efficiency and scalability.
  • Contribute to data quality assessment frameworks and performance metrics.

Conoscenze

Large-scale data annotation
Data validation
Leadership
Workflow optimization
Stakeholder coordination

Strumenti

Label Studio
Prodigy

Descrizione del lavoro

Hire Feed is seeking a Senior Human Data Manager to oversee data collection, validation, and annotation processes for high-quality AI training datasets. This remote, full-time role involves leading annotator teams and coordinating with technical stakeholders to align data standards with project goals.

You will design guidelines, mentor staff, and ensure timelines and quality benchmarks while collaborating with international teams to meet diverse project demands.

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