Computer Vision Specialist - poste à distance

L'entreprise micro1 recrute : Computer Vision Specialist. Le poste relève de la catégorie Autres offres et se fait entièrement à distance. Aucune restriction n'est posée sur le lieu de résidence du candidat, vous pouvez donc postuler de partout.

L'annonce met en avant Machine Learning : c'est l'expérience de cet outil précis qui fera la différence.

L'entreprise a publié la rémunération : $50 - $90 par heure. L'annonce ne pose aucune condition d'horaires.

Cette offre a passé un contrôle automatique : les annonces qui exigent un permis de travail étranger, un parrainage de visa, une nationalité précise ou une résidence dans un pays nommé n'entrent pas dans la liste.

Role Title: Computer Vision Specialist Role Type: Contractor Location: Remote micro1 is engaging Computer Vision Specialists to collaborate on a dynamic project for a valued customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work

* Review and analyze video footage captured from robotic systems to identify key visual features and anomalies.

* Annotate video content with precision, ensuring accurate labeling and categorization of objects, movements, and events.

* Provide detailed feedback to enhance the quality and consistency of video-based datasets for machine learning applications.

* Collaborate with AI development teams to refine annotation protocols and contribute domain insights.

* Document observations and maintain meticulous records of annotation processes and outcomes.

* Participate in periodic reviews to ensure annotation accuracy and address ambiguities or edge cases.

* Identify potential improvements in video capture or annotation strategies based on observed data patterns.

Preferred Qualifications

* Proven expertise in computer vision concepts and methodologies, with hands-on experience in video analysis or annotation tasks.

* Familiarity with tools and platforms commonly used for video labeling, annotation, or dataset preparation.

* Excellent written and verbal communication skills, with a strong ability to document findings and articulate technical insights.

* Attention to detail and commitment to producing high-quality, consistent annotations.

* Ability to work independently and manage deliverables within a remote, collaborative project environment.

* Experience with robotics, autonomous systems, or related domains is a plus.

* Adaptability and willingness to learn new annotation standards or contribute to evolving project needs.

Originally posted on Himalayas