Remote Ai Data Collection Jobs in Springfield, VA

Integrated Business & Technical Consultants, Inc. (IBTCI), a U.S.-based international development consulting company established in 1987, has worked in over 100 countries and implemented over 300 projects. IBTCI serves government agencies, private-sector companies, and donor organizations. IBTCI specializes in monitoring, evaluation, research, and learning (MERL) and institutional support across sectors including conflict and crisis, democracy and governance, agriculture, economic growth, food security, education, environment, and global health.

Assignment Title: Data Management / Data Analysis Specialist

Department/Location: Remote, with possible travel to target countries

Technical Point of Contact: Team Leader

Type: Consultant, Short-term / Intermittent

Classification: Consultancy

Overview: IBTCI is seeking a Data Management / Data Analysis Specialist to support a proposed Livelihoods Framework and Evaluations assignment. The specialist will program and code data-collection instruments; establish secure, well-documented data flows; process incoming qualitative and quantitative data; conduct cleaning, quality control, analysis, and visualization; and support consistent reporting across 13 project evaluations. The role requires careful management of concurrent country datasets and transparent, reproducible analytical workflows.

Essential Duties/Tasks and Responsibilities:

• Translate approved questionnaires, interview guides, checklists, and scorecards into reliable electronic data-collection instruments using appropriate platforms.
• Program skip logic, range and consistency checks, required fields, unique identifiers, consent gates, language versions, metadata, and secure submission workflows.
• Develop and maintain data-management plans, data dictionaries, codebooks, file-naming conventions, access controls, version-control procedures, and data-retention and destruction protocols.
• Receive, inventory, merge, de-identify, and securely store quantitative and qualitative data from field teams, implementing organizations, and secondary sources.
• Perform daily or scheduled data-quality checks for completeness, duplication, missingness, outliers, logical inconsistencies, interview duration, enumerator patterns, and protocol deviations; document and resolve queries with field teams.
• Clean, recode, label, derive, and prepare analysis-ready datasets while preserving raw data and a transparent audit trail of all transformations.
• Prepare quantitative tabulations and statistical outputs and support qualitative coding, codebook management, retrieval, and thematic analysis.
• Integrate qualitative and quantitative evidence into triangulation matrices and maintain evidence links supporting scorecard ratings, findings, conclusions, and recommendations.
• Create clear tables, charts, and other data visualizations for monthly updates, evaluation reports, scorecards, slide decks, and stakeholder presentations.
• Protect confidentiality and personally identifiable information and comply with approved IRB, consent, safeguarding, data-protection, and implementing-organization requirements.

Minimum Qualifications:

• At least 5 years of professional experience in evaluation data management, research data processing, quantitative or qualitative analysis, or a closely related function.
• Demonstrated experience programming or coding electronic data-collection instruments and implementing field validation and skip logic.
• Experience cleaning, quality-checking, merging, labeling, and documenting multi-source datasets from surveys, interviews, focus groups, checklists, or administrative records.
• Proficiency in Excel and at least one quantitative analysis package such as SPSS, Stata, R, or Python.
• Experience with at least one electronic data-collection platform such as KoboToolbox, SurveyCTO, ODK, Qualtrics, REDCap, or a comparable system.
• Experience with qualitative data coding or qualitative analysis software, or demonstrated ability to manage coded qualitative datasets.
• Ability to produce accurate, accessible, decision-oriented data visualizations and tables.
• Strong attention to detail, documentation, data security, and deadline management.
• Excellent written and oral communication skills in English.

Education: Bachelor's degree in statistics, data science, information systems, economics, social sciences, evaluation, public policy, or another relevant field.

Preferred Knowledge, Skills, and Abilities:

• Master's degree in a relevant field.
• Experience supporting multi-country livelihoods, humanitarian, agriculture, food security, or economic-development evaluations.
• Experience in low-connectivity, multilingual, fragile, or conflict-affected field settings.

Work environment: This position is primarily remote and computer-based and requires secure handling of confidential evaluation data.

Physical Requirements: This position requires the ability to speak, hear, see, use a computer or mobile device, and lift small objects up to 20 lbs. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions.

Supervisory Responsibility: This position has no supervisory responsibility.

Travel: Limited travel may be required.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this assignment. Duties, responsibilities, and activities may change at any time with or without notice.