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Image Annotator and Rater (Crop Classification) - Remote

Posted 2 days ago
All others
Part Time
Malawi

Overview

An enterprise client is seeking qualified professionals with educational backgrounds in agriculture or related fields to support a project focused on crop type classification from satellite imagery. This role involves analyzing visual data and labeling agricultural fields to help build a high-quality dataset for improving crop classification models.

In Short

  • Classify crop types from satellite images using ground truth references.
  • Determine crop types or mark areas as uncultivated based on visual information.
  • Follow clearly defined workflow protocols provided by the client.
  • Identify agricultural area presence based on image analysis.
  • Assess field visibility and annotate accordingly.
  • Label crop types accurately based on visibility.
  • Work approximately 20 hours per week as needed.
  • Contract duration is approximately 6 weeks.
  • Attention to detail and accuracy are crucial.
  • Familiarity with diverse crop types and agricultural practices is preferred.

Requirements

  • Bachelor’s degree (or higher) in Agriculture or related fields.
  • Knowledge or experience in Geography, Remote Sensing, Environmental Science, or GIS.
  • Familiarity with crop identification and agricultural surveys.
  • Ability to distinguish crop types from images.
  • Experience using image annotation tools is an advantage.

Benefits

  • Flexible working hours based on project needs.
  • Opportunity to work on an important agricultural project.
  • Gain experience in image analysis and crop classification.
Lifted, an Upwork Company™ logo

Lifted, an Upwork Company™

Lifted, an Upwork Company™, is dedicated to advancing the field of generative AI by collaborating with subject matter experts across various domains. The company focuses on enhancing AI models through the provision of high-quality, domain-specific data, ensuring accuracy and relevance in AI-generated content. With a commitment to innovation, Lifted supports teams in developing AI-powered applications, streamlining processes such as data labeling and business analysis. The company fosters a diverse and inclusive remote work environment, enabling professionals to contribute their expertise in software engineering and programming, particularly in C#.

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