Internal Call Only(RFP300629) - ANALYST-DATA QUALITY Arusha, Tanzania

Innovation

Overview

Provide operational support on data annotation tasks at the research station in Arusha.

You have:

• Minimum undergraduate degree in Agricultural Sciences, Data Science, Computer Science, or a related field.
• 1-3 years relevant work experience
• Demonstrated specialized experience in process-oriented research work or annotation projects.
• Proficiency in image annotation platforms such as LabelMe, RoboFlow, or CVAT.
• Competency in Microsoft Office Suite.
• Advanced command of English and Swahili, both written and spoken.
• Strong interpersonal and teamwork capabilities.
• Solid skills in prioritization, problem-solving, and maintaining high accuracy.
• Confidence in guiding others and articulating project progress and quality issues.

Job Description

THE ORGANIZATION

The Alliance of Bioversity International and CIAT (Alliance) 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.

The Alliance works with local, national, and multinational partners across Latin America and the Caribbean, Asia and Africa, and with the public and private sectors. The Alliance is part of CGIAR, a global research partnership for a food-secure future, dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources and ecosystem services.

About the position

The Analyst- Data Quality will be responsible for providing operational support on data annotation tasks at the research station in Arusha.

Responsibilities

Research Process Execution and Oversight:

• Coordinate the execution of image annotation tasks aligned to research timelines and milestones.
• ­Monitor implementation of standard operating procedures (SOPs) and data annotation guidelines.
• Perform review and validation of image annotation outputs to ensure quality and consistency.

• Quality Assurance

• Systematically identify and address issues in annotation processes or data quality.

• Sustain the quality of research work by ensuring rigorous implementation of data handling protocols.

• Training and Supervision

• Guide and support interns on proper annotation techniques and compliance with research standards.

• Track progress and ensure interns' contributions meet project specifications and timelines.

Communication and Coordination

• Advise the Senior Data Quality Analyst on progress, risks, and recommendations for improving implementation.
• Support communication with internal stakeholders and contribute to routine reporting and analysis of findings.

Documentation and Reporting

• Organize and compile research findings and insights into structured reports that inform project outcomes.

Requirements

• Minimum undergraduate degree in Agricultural Sciences, Data Science, Computer Science, or a related field.
• 1-3 years relevant work experience
• Demonstrated specialized experience in process-oriented research work or annotation projects.
• Proficiency in image annotation platforms such as LabelMe, RoboFlow, or CVAT.
• Competency in Microsoft Office Suite.
• Advanced command of English and Swahili, both written and spoken.
• Strong interpersonal and teamwork capabilities.
• Solid skills in prioritization, problem-solving, and maintaining high accuracy.

• Confidence in guiding others and articulating project progress and quality issues.

  Terms of employment

  This position is a nationally recruited part-time (60%) position based in Arusha, Tanzania. The initial contract will be for 1 year subject to a probation period of 3 months and is renewable depending on performance and availability of resources.

  This position is graded at BG06 level on a scale of BG01 to BG14 (BG14 being the highest level according to the Alliance job classification framework policy). We offer a competitive salary and excellent benefits including but not limited to insurance, retirement plan, staff training and development, paid time off, and flexible working arrangements.

  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 RFP300629- Analyst- Data Quality 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: 25th June 2025

  Please note that email applications will not be considered.

  Only short-listed candidates will be contacted.

  We invite you to learn more about us at:

  http://alliancebioversityciat.org

Apply now

Potential interview questions

Added 11 months ago - Updated 10 months ago - Source: alliancebioversityciat.org