← Volver a la búsqueda
Origen del anuncioActualizada hace 7 horas↗
Puedes aplicar desde República Dominicana

Video Annotation Specialist

Worldwide · Remoto8-10 USD Por hora

Resumen de la oportunidad

Video Annotation 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
8-10 USD Por hora
Disponibilidad desde República Dominicana
Puedes aplicar desde República Dominicana
Actualizada
02 de octubre de 2026
Consultar la publicación original

¿Quieres aplicar o ver tu compatibilidad?

Crea tu cuenta y compara tus habilidades con esta vacante.

Descripción del empleo

Requisitos

  • Demonstrated experience in data annotation, labeling, or content moderation - particularly with video or audio data.
  • Strong English communication skills, with the ability to provide detailed written and verbal feedback.
  • Keen attention to detail and the ability to apply consistent, objective judgment throughout repetitive tasks.
  • Familiarity with generalist training, content review, or guideline-based evaluation is advantageous.
  • Comfort working independently and reliably in a remote project setting.
  • Adaptability to quickly learn new annotation tools, protocols, and quality standards.
  • Commitment to upholding data confidentiality and accuracy throughout the engagement.
  • Originally posted on Himalayas

Location: Remote

micro1 is engaging Video Annotation Specialists to support a customer’s AI training project focused on video and audio analysis. 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 short video and audio clips, scrutinizing both visual and auditory elements for detailed annotation and assessment.
  • Evaluate the accuracy of AI-generated descriptions, verifying alignment with provided guidelines and identifying inconsistencies or errors.
  • Deliver clear, concise written feedback to highlight inaccuracies, ambiguities, or areas of uncertainty in the reviewed content.
  • Apply consistent judgment to ensure that content labeling supports robust AI evaluation and training objectives.
  • Flag content that does not meet specified standards or requires further clarification from project leads.
  • Collaborate with project coordinators and follow project protocols to maintain high annotation quality and data integrity.
  • Contribute to continual process improvement by suggesting annotation and quality assurance enhancements.