Data Annotator | $90/hr Remote

Crossing Hurdles

Vaga encontrada via LinkedIn

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(Espaço reservado pra publicidade em breve.)

Descrição da vaga

Position: Computer Vision Specialist Type: Contract Compensation: $50 - $90/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities - Review and analyze video footage 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. Requirements - 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. Application Process - Easy Apply on LinkedIn - Check email for next steps - Participate in resume evaluation & interview stage
PUBLICIDADE
(Espaço reservado pra publicidade em breve.)

Informações adicionais

Empresa
Crossing Hurdles
Localização
Brasil
Fonte
LinkedIn

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