AI Data Annotator for Autonomous Vision Systems

Harmattan AI; Paris; Hybride; EUR 32 000 - 42 000; Plein temps

Résumé du poste

Harmattan AI in Paris is seeking a Data Annotator to label large image datasets for training autonomous systems. You will follow strict guidelines, review model outputs for accuracy, and collaborate with Computer Vision, Data Architecture, and ML teams to ensure data quality for deployment.

The role emphasizes meticulous attention to detail, reliability in a structured process, and fluency in French, with English being a plus for cross-border collaboration.

Qualifications

• Must have a high level of attention to detail for long, repetitive tasks.
• Experience with data labeling, annotation, or content evaluation is a plus.
• Comfortable using digital tools and following strict, well-defined project guidelines.
• Ability to work reliably within a structured, process-driven environment.

Responsabilités

• Analyze, label, and annotate diverse image datasets for AI model training and validation.
• Follow annotation guidelines precisely to ensure consistency across batches.
• Review AI model outputs for accuracy and context; flag discrepancies.
• Perform annotation peer-reviews to ensure quality and consistency.
• Communicate findings and edge cases to AI and Data Engineering teams.
• Occasionally assist with on-site data collection during field test campaigns.

Connaissances

Data labeling

Attention to detail

Guideline following

French fluency

Communication skills

English a plus

Formation

Baccalauréat (or equivalent)

Outils

Annotation tools

Description du poste

Harmattan AI in Paris is seeking a Data Annotator to label large image datasets for training autonomous systems. You will follow strict guidelines, review model outputs for accuracy, and collaborate with Computer Vision, Data Architecture, and ML teams to ensure data quality for deployment.

The role emphasizes meticulous attention to detail, reliability in a structured process, and fluency in French, with English being a plus for cross-border collaboration.