The Organization

The Alliance of Bioversity International and CIAT delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives. Alliance solutions address the global crises of malnutrition, climate change, biodiversity loss, and environmental degradation.

With novel partnerships, the Alliance generates evidence and mainstreams innovations to transform food systems and landscapes so that they sustain the planet, drive prosperity, and nourish people in a climate crisis.

The Alliance is part of CGIAR, a global research partnership for a food-secure future.

About the position 

We are searching for an Intern responsible for providing support for data annotation tasks for the Digital Inclusion team in Arusha. The candidate will be based in Arusha. The person will assist the data and engineering team in annotation tasks, enhancing data quality for computer vision model training. 

Key Responsibilities  

• Annotate images for different crops (beans, sorghum, cassava, etc.) and crop features such as pods, flowers, grains, roots, etc.  
  
• Collaborate closely with the internal team and external annotators to review and refine annotations, ensuring accuracy and consistency. 
  
• Assist the data & engineering team in developing/updating annotation guidelines/training materials and training external annotators.  
  
• Support the data and engineering team in maintaining a comprehensive inventory of annotated datasets, essential for data quality and accessibility. 
  
• Assist in the development and implementation of quality control measures for imagery data. 
  
• Carry out other duties related to the project and research objectives as assigned.  

Requirements

• Enrolled in or recent graduate (< 1 year) of bachelor’s or master’s degree in agriculture, community development, computer science or related discipline  
  
• Proficiency in Microsoft Office package. 
  
• Advanced command of the English language, both written and spoken. 
  
• Access to a personal laptop is essential to carry out this work.  
  
• Experience with capturing data of crops is an advantage.  
  
• Experience with image annotation tasks and tools is an advantage. 
  
• Experience with using google docs, sheets and drive is an advantage. 
  
• Strong interpersonal, communications, and teamwork skills. 
  
• Well-developed skills in personal organization, priority setting, problem-solving, and accuracy. 

Terms of employment

This is an internship position based in Arusha, Tanzania. The initial contract will be for period of six(6) months.

The Alliance of Bioversity International and CIAT offers a multicultural, collegial research environment with competitive salary and excellent benefits. We believe that the diversity of our staff contributes to excellence. The Alliance is an equal-opportunity employer and strives for staff diversity in gender and nationality.

The Alliance Bioversity-CIAT is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation, contributes to our excellence, and is critical for our mission. Recruiting and mentoring staff to create an inclusive organization that reflects our global character is a priority. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability statuses, sexual orientations, marital status, and gender identities. Female candidates are strongly encouraged to apply.

Applications

Applicants are invited to visit https://alliancebioversityciat.org/careers to get full details of the position and to submit their applications. Applications MUST include reference number RFP XXXX –Data Analysis Intern as the position applied for. Cover letter and CV should be saved as one document using the candidate’s last name, first name for ease of sorting. The Alliance collects and process personal data in accordance with applicable data protection laws.

Applications closing date: 14^th September 2024

Please note that email applications will not be considered.

Only short-listed candidates will be contacted.

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