Data Annotator

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

About Us

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.

Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About the Role

As a Data Annotator within the Visual Navigation team, you work at the foundation of how our autonomous systems interpret their environment. You review large volumes of image datasets and apply precise, consistent annotations that directly feed the training and validation of our computer vision and machine learning models. You collaborate closely with our Computer Vision, Data Architecture, and Machine Learning teams to ensure the data you deliver meets the rigor required for real-world deployment.

Responsibilities

• Analyze, label, and annotate diverse image datasets to support the training and validation of our AI models.

• Follow detailed annotation guidelines precisely, maintaining consistency across large batches of work.

• Review AI model outputs for accuracy and contextual relevance, flagging discrepancies against expected results.

• Perform annotation peer-review with other members of the Annotation team to ensure consistency and quality.

• Communicate findings and edge cases to the AI and Data Engineering teams.

• Occasionally support field test campaigns to help with on-site data collection.
  

Candidate Requirements

• Baccalauréat (or equivalent); no specific prior qualification required.

• Meticulous attention to detail, with the ability to maintain accuracy across long, repetitive tasks.

• Comfortable using digital tools and following strict, well-defined project guidelines.

• Ability to work consistently and reliably within a structured, process-driven environment.

• Previous experience in data-labeling, annotation, or content-evaluation is a plus.

• Good written and verbal communication skills.

• Fluency in French required; English is a plus.

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.