• Support local product + agronomic knowledge transfer by implementing a training plan tailored to local needs • Collaborate with ASM to build and execute team strategy • Partner with brand product manager and technical product specialist to communicate regional market and portfolio needs • Coordinate with demand managers and ASM to ensure forecast accuracy and focus demand generation efforts • Create and implement plot strategy to support sales and product characterization • Analyze harvest and agronomic data to refine product placement and management • Implement agronomy digital communication strategy • Resolve product performance concerns • Performs other duties as assigned.

• Record conversations following provided instructions and prompts • Speak naturally and clearly during recordings • Participate in assigned role-based scenarios • Ensure recordings are completed in a quiet environment • Upload files correctly following project instructions • Re-record assignments if quality requirements are not met • Complete assignments within project deadlines

• Analyze datasets, translating raw data into actionable insights that can support business improvement strategies. • Handle data batches, apply labeling techniques, and manipulate data according to project requirements, ensuring high accuracy. • Oversee the quality of training data, identify issues or anomalies, and implement corrective measures to maintain data integrity. • Provide translations and contextual understanding where necessary to ensure data is aligned with language and cultural nuances. • Offer suggestions aimed at improving business processes and outcomes based on your data analysis. • Transcribe and annotate audio or video files according to detailed project guidelines.

• Analyze datasets, translating raw data into actionable insights that can support business improvement strategies. • Handle data batches, apply labeling techniques, and manipulate data according to project requirements, ensuring high accuracy. • Oversee the quality of training data, identify issues or anomalies, and implement corrective measures to maintain data integrity. • Provide translations and contextual understanding where necessary to ensure data is aligned with language and cultural nuances. • Offer suggestions aimed at improving business processes and outcomes based on your data analysis. • Transcribe and annotate audio or video files according to detailed project guidelines.