Puedes aplicar desde República Dominicana
Computer Vision Specialist
Worldwide · Remoto50-90 USD Por hora
Resumen de la oportunidad
Computer Vision Specialist en micro1. Es una oportunidad remota. Ubicación publicada: Worldwide. La fuente aporta evidencia de que puede solicitarse desde República Dominicana.
- Empresa
- micro1
- Ubicación
- Worldwide
- Modalidad
- Remoto
- Tipo de contrato
- CONTRACTOR
- Salario publicado
- 50-90 USD Por hora
- Disponibilidad desde República Dominicana
- Puedes aplicar desde República Dominicana
- Actualizada
- 01 de octubre de 2026
¿Quieres aplicar o ver tu compatibilidad?
Crea tu cuenta y compara tus habilidades con esta vacante.
Descripción del empleo
Requisitos
- 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
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.