About Digital Green
Digital Green is a global development organization that empowers smallholder farmers through digital solutions, data, and partnerships. We work at the intersection of technology and agriculture to improve livelihoods, strengthen climate resilience, and promote inclusive agricultural systems.
Background
Digital Green is implementing the RLHF (Reinforcement Learning with Human Feedback) initiative to improve the quality and contextual relevance of agricultural advisory content. The initiative focuses on generating and refining location-specific Q&A pairs using a combination of AI systems, human expertise, and structured frameworks.
To support this effort, Digital Green is seeking qualified Reviewers to assess and enhance Q&A content before it proceeds to the validation stage.
Position Summary
The Reviewer will be responsible for evaluating and refining Q&A pairs to ensure they meet the standards of the Golden Q-A framework, including trustworthiness, contextual relevance, persuasiveness, and clarity. The role requires strong subject-matter expertise and the ability to critically assess and improve content for use by farmers and extension workers.
Key Responsibilities
Areas of Expertise
Applicants should demonstrate expertise in one or more of the following:
Key Deliverables
Qualifications and Experience
Reporting Line
The Reviewer will report to the Project Lead, Golden Q-A / RLHF Workstream and work closely with validators and other project stakeholders.
Core Competencies
Time Commitment
This is a part-time contract role with an estimated duration of 5 months. Each Reviewer should be able to review ~2000 Q&A pairs per month.
Equal Opportunity Statement
Digital Green is an equal opportunity employer committed to diversity and inclusion. We encourage applications from qualified candidates regardless of gender, disability, or background.