AI Data Annotation Program Manager

Lindus Health

Paris

Sur place

EUR 70 000 - 110 000

Plein temps

Il y a 13 jours

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Résumé du poste

Mistral seeks an exceptional technical program manager to push the boundaries of model capabilities. You will build the human data operation for model development, from eval to training, and bridge the gap between real-world use cases and our models.

You will partner with science and product teams to design data collection campaigns, manage contractor and vendor relationships, and create dashboards that track throughput, budget, and quality, while ensuring efficient data delivery and tooling.

Qualifications

  • Minimum of 3 years' experience in managing technical programs in a research or data related field.
  • Strong understanding of contractor / vendor management and data collection operations.
  • Proficiency in Python (SQL appreciated).
  • Excellent project management skills with the ability to manage multiple projects simultaneously.
  • Great communication and stakeholder management skills.

Responsabilités

  • Partner closely with science / product teams to build datasets that accelerate progress on important model capabilities, skills, and behaviors.
  • Manage highly functional contractor teams and vendor relationships to support both agile and scaled data collection campaigns with subject matter experts - spanning phases from sourcing / contracts, onboarding, training, and performance monitoring.
  • Oversee and track the progress of collection campaigns, building dashboards for throughput, budget, and quality.
  • Collaborate closely and own communications with cross-functional teams to ensure that risks are anticipated and addressed, data needs are met, and that tooling is in place to enable efficient annotation and data delivery/ingestion.

Description du poste

Mistral seeks an exceptional technical program manager to push the boundaries of model capabilities. You will build the human data operation for model development, from eval to training, and bridge the gap between real-world use cases and our models.

You will partner with science and product teams to design data collection campaigns, manage contractor and vendor relationships, and create dashboards that track throughput, budget, and quality, while ensuring efficient data delivery and tooling.

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