Location: Addis Ababa and various regions
Deadline: August 22, 2025
Job Description
Vacancy Announcement: Field Enumerators (Quantitative and Qualitative)
Addis Economic Research (AER) is currently recruiting qualified and motivated professionals to join its roster of Field Enumerators for upcoming quantitative and qualitative research projects. These projects will be implemented in Addis Ababa and various regions across Ethiopia during the remaining months of 2017 and into 2018 (E.C.).
We are looking for individuals who are committed to high standards of data quality, professional integrity, and ethical research conduct.
Successful candidates must be willing to:
- Participate in intensive training sessions,
- Adhere to AER’s strict data collection protocols and guidelines,
- Undergo regular performance evaluations, including audio audits, spot checks, and back-checks,
- Work in diverse and often challenging field environments under tight deadlines,
Commit to maintaining the highest level of data accuracy and ethical standards
Duties and responsibilities
• Conduct household and firm surveys in both urban and rural settings.
About You
Qualifications:
• Bachelor’s degree from a recognized institution
• Proficiency in Amharic
• English and other local language skills are an advantage
• Prior experience with digital data collection tools (e.g., SurveyCTO) is an asset
• Female applicants are highly encouraged
• Recommendation letter or reference is required
- Adaptability
- Data entry
- Attention to detail
How to Apply
Interested applicants should:
- Submit a one-page cover letter and a maximum three-page CV clearly indicating the position they are applying for.
- Combine both documents into one PDF file.
- Send the application to: info@aer.et.
- Use the position title (e.g., Quantitative Enumerator or Qualitative Enumerator) as the email subject line.
- Deadline for submission: August 22, 2025
AER is an equal opportunity employer. We welcome applications from qualified individuals who are dedicated to research and passionate about enhancing data quality and promoting evidence-based policy.
