[Hiring] Agricultural Content Expert @Digital Green

Role Description

Digital Green is strengthening FarmerChat's AI-powered advisory systems by improving the quality, relevance, and usability of agricultural content across multiple geographies and languages. The initiative seeks qualified agricultural experts who can contribute to improving AI-generated outputs, validating agricultural knowledge, and developing high-quality localized content for deployment across Digital Green platforms.

Objectives

• Support one or more of the following areas:
• RLHF and AI Quality Improvement
  • Review and evaluate AI-generated agricultural responses.
  • Improve the quality and relevance of location-specific Q&A pairs.
  • Support development of Golden Q&A datasets and evaluation benchmarks.
  • Provide structured feedback to improve model performance.
• Content Development and Review
  • Create, review, and validate agricultural content cards.
  • Support seasonal advisory planning and content prioritization.
  • Review existing content for technical accuracy, relevance, and usability.
  • Contribute to localized content development across crops, livestock, climate, and regenerative agriculture topics.

Key Responsibilities

• RLHF Activities
  • Review Q&A pairs generated by AI systems, human experts, or synthetic data pipelines.
  • Evaluate outputs based on agronomic correctness, relevance, clarity, trustworthiness, inclusivity, and farmer usability.
  • Rank and compare alternative AI responses.
  • Provide qualitative feedback to improve future model outputs.
  • Participate in calibration exercises and workflow refinement sessions.
  • Maintain records of completed reviews through Digital Green platforms.
• Content Development & Review Activities
  • Create and review content cards covering agriculture, livestock, climate resilience, regenerative agriculture, and allied sectors.
  • Validate technical correctness and contextual relevance of content.
  • Review content generated by AI systems and recommend edits.
  • Support content adaptation for specific geographies, seasons, crops, and farming systems.
  • Provide recommendations for future content priorities and improvements.

Areas of Expertise Sought

• Agronomy and Crop Sciences
• Livestock and Veterinary Sciences
• Agricultural Extension and Advisory Services
• Climate-Smart Agriculture
• Regenerative Agriculture
• Gender and Social Inclusion
• Soil Health and Natural Resource Management
• Horticulture and High-Value Crops

Deliverables

• RLHF Deliverables
  • Reviewed and scored Q&A pairs.
  • Comparative evaluations and rankings.
  • Feedback on model performance and failure cases.
  • Contributions to Golden Q&A datasets.
  • Monthly activity reports.
• Content Deliverables
  • Developed or reviewed content cards.
  • Technical review comments and recommendations.
  • Seasonal content plans and content prioritization inputs.
  • Approved content ready for deployment.
  • Monthly content review summaries.

Qualifications

• Master's degree or higher in Agronomy, Agricultural Extension, Veterinary Sciences, Horticulture, Climate Sciences, or related disciplines.
• Minimum 5 years of experience in agricultural advisory, extension, research, or content development.
• Strong understanding of farming systems and farmer advisory services.
• Ability to review technical content critically and provide actionable feedback.
• Preferred
  • Experience working with AI-assisted content systems.
  • Experience reviewing digital agricultural advisory content.
  • Familiarity with large language models (LLMs), AI evaluation, or RLHF processes.
  • Experience integrating climate and gender considerations into agricultural recommendations.

Engagement Model

• The consultant may be engaged under one or both of the following workstreams:
  • Workstream A: RLHF Review and Validation
  • Workstream B: Content Development and Review

Compensation Structure

• RLHF Reviewer
  • Text Review: USD 0.65 per approved (approx 3-4 min/review)
  • Image Review: USD 0.65 per approved review
  • MCQ Review: USD 0.35 per approved review
  • Expected productivity: Approximately 30 reviews per day.
  • Minimum engagement: 20 days/month.
  • Maximum engagement: 30 days/month.
• RLHF Validator
  • Text Validation: USD 0.50 per approved validation (approx 2-3 min/validation)
  • Image Validation: USD 0.50 per approved validation
  • MCQ Validation: USD 0.15 per approved validation
• Content Development and Review
  • Compensation will be based on approved hours worked. Monthly hours will be agreed upon in advance based on project needs.

Contract Duration

• Initial contract period: 6 months
• The engagement may be extended based on performance, project requirements, and funding availability.
• Apply by July 15, 2026.