Portfolio Company Careers

Discover opportunities across our network of values-driven companies!
Sovereign’s Capital
Sovereign’s Capital
50
companies
763
Jobs

Agronomist (Data Reviewer)

CloudFactory

CloudFactory

Poland
Posted on Thursday, June 27, 2024

Be a Remote Ag-Tech Pioneer: Leverage Your Agronomy Expertise to Shape the Future of AI in Farming!

Artificial Intelligence (AI) is transforming the world in almost every industry. Everyone knows only high-quality annotated training data can produce the most accurate machine-learning solutions. However, creating training data with high quality in a scalable way is very challenging, and very few companies can do it. Even fewer can do it well, which is why businesses across all industries trust CloudFactory, a leader in deploying managed cloud labor services to get the job done.

Are you a passionate agronomist ready to make a real-world impact from the comfort of your home? We're seeking for sharp minds like yours to join our innovative data annotation team! This exciting opportunity allows you to:

  • Utilize your agronomic knowledge: Apply your expertise in plant health, diseases, and growth patterns to high-tech agricultural data.
  • Shape the future of AI in agriculture: Your annotations will power cutting-edge AI models that revolutionize farming practices.
  • Embrace a rewarding remote challenge: Transition from field work to a flexible, home-based role at the forefront of agricultural technology.

This unique position allows you to combine your passion for agriculture with the transformative power of AI!

Contract: This is a 3-month contract (40 hours per week) with opportunity for long-term extension.

Key Responsibilities

  • Sharpen your AI Expertise: Ensure the accuracy and consistency of data annotations according to established guidelines. Engage with team leads to refine annotation protocols and identify areas for improvement.
  • Become an AI Data Champion: As the in-house expert on all-things-agronomy, you will act as an escalation point in reviewing edge cases to help the existing team identify particular crop and weed species. Through this collaboration with the delivery team, you will support in fostering high-quality datasets for AI model development.
  • Bridge the Gap Between Ag and AI: Participate in client calls to understand how business and product objectives translate into annotation requirements.
  • Continuous Learning: Stay up-to-date on the latest advancements in agronomy and relevant AI technologies.