Agriculture Specialist

buscojobs Brasil; Distrito Federal; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A leading agricultural project firm in Brazil is seeking an Image Annotation Analyst. You'll be responsible for annotating agricultural datasets and ensuring quality and accuracy in crop type identification. Candidates should have a degree in agriculture and relevant experience. This position offers flexible hours with a starting hourly rate of $16.

Qualificações

• Bachelor’s / master’s degree in agriculture or related fields.
• Experience in agricultural field studies and data annotation.
• Knowledge of crop classification, growth stages, and identification of field boundaries.

Responsabilidades

• Annotate agricultural datasets ensuring accuracy and consistency.
• Identify crop types and growth stages.
• Interpret crop types and perform data validation.

Conhecimentos

Knowledge of crop classification

Experience in agricultural field studies

Data annotation

Understanding of phenology

Formação académica

Bachelor’s or master’s degree in agriculture

Descrição da oferta de emprego

We are looking for Image Annotation Analyst having background in Agriculture from Brazil. If you are interested and reside in Brazil, kindly apply to the post on urgent basis as we are anticipating the project to get started this week.

Please find the details below:

• Project Name: Image Annotation Analyst- Agriculture
• Hourly Rate: $16 per hour
• Required Hours: 5-6 hours per day (flexible hours)
• Project Start Date: This week
• Location: Brazil
• Language: local
• Required Education: Agriculture or agriculture related streams like horticulture, food science etc.

We are looking for an Annotation Analyst to join the team. The ideal candidate will be responsible for annotating agriculture dataset, identifying crop type and stages, ensuring the quality, consistency, and accuracy of datasets. Raters are required to interpret crop types, annotation, and identifying the stages.

Required Skills & Qualifications

• Bachelor’s / master’s degree in agriculture
• Experience in agricultural field studies and data annotation.
• Knowledge of crop classification, phenology (growth stages), and field boundary identification.
• Prior work with street view imagery of agricultural datasets.