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Origen del anuncioActualizada hace 8 horas↗
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
Consultar la publicación original

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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.