Analyst-Data Quality
2025-06-19T11:08:48+00:00
Bioversity International
https://cdn.greattanzaniajobs.com/jsjobsdata/data/employer/comp_3801/logo/Bioversity%20International.png
http://alliancebioversityciat.org
FULL_TIME
Arusha
Arusha
00000
Tanzania
Nonprofit, and NGO
Admin & Office
2025-06-25T17:00:00+00:00
Tanzania
8
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
- 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.
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 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.
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.
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.
JOB-6853efc08bba4
Vacancy title:
Analyst-Data Quality
[Type: FULL_TIME, Industry: Nonprofit, and NGO, Category: Admin & Office]
Jobs at:
Bioversity International
Deadline of this Job:
Wednesday, June 25 2025
Duty Station:
Arusha | Tanzania
Summary
Date Posted: Thursday, June 19 2025, Base Salary: Not Disclosed
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JOB DETAILS:
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
- 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.
Work Hours: 8
Experience in Months: 12
Level of Education: bachelor degree
Job application procedure
Applicants are invited to visit https://alliancebioversityciat.org/careers to get full details of the position a nd to submit their applications. Applications MU S T include reference number RFP300629- Analyst- Data Quality as the position applied for. Cover letter a nd CV should be sav e d as one document using the candidate’ s last name , first name for ease of sort i ng. The Alliance collects a nd process personal dat a in accordance with applicable dat a protect on laws.
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