10 days ago

Agricultural Scientist

Keystone Recruitment

Hybrid
Contractor
$210,000
Hybrid

Job Overview

Job TitleAgricultural Scientist
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$210,000
LocationHybrid

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Job Description

Agricultural Scientist (Remote) at Keystone Recruitment

We are seeking a knowledgeable and passionate Soil and Plant Scientist to join our customer’s team as an AI Trainer. In this remote role, you will use your expertise in soil and plant sciences to guide the development and refinement of AI models in agriculture technology. Your contributions will ensure AI systems reflect real-world agricultural practices, soil management, and crop science research.

Key Responsibilities

  • Review, annotate, and validate soil and plant science datasets to ensure scientific accuracy and relevance.
  • Provide expert guidance and feedback to AI teams to improve model outputs related to agronomy, plant physiology, and soil management.
  • Translate complex scientific research concepts into actionable AI training insights.
  • Develop scenarios and use-cases based on crop yield, soil composition, pest control, and plant management for AI learning.
  • Identify gaps, errors, or inconsistencies in AI outputs and recommend improvements based on current best practices.
  • Collaborate with AI engineers and data scientists to fine-tune algorithms using domain-specific knowledge.
  • Stay current with advances in soil and plant sciences and integrate new knowledge into AI model training.

Required Skills and Qualifications

  • Advanced degree in Soil Science, Plant Science, Agronomy, Horticulture, or a closely related field.
  • Proven experience in crop breeding, plant physiology, soil composition analysis, or plant management research.
  • Strong written and verbal communication skills, capable of conveying complex scientific concepts clearly.
  • Expertise in soil classification, mapping, growth condition studies, and evaluating agricultural practices.
  • Familiarity with integrated pest management, crop productivity studies, and field research.
  • Rigorous attention to detail for dataset validation and quality control.
  • Self-motivated and capable of working independently in a remote, collaborative environment.

Preferred Qualifications

  • Experience collaborating on interdisciplinary projects or with AI/data science teams.
  • Background as an Agronomist, Plant Physiologist, or Research Soil Scientist.
  • Knowledge of emerging AI applications in agricultural and plant sciences.

Key skills/competency

  • Soil Science
  • Plant Science
  • Agronomy
  • AI Training
  • Data Validation
  • Crop Management
  • Pest Control
  • Research
  • Agricultural Technology
  • Scientific Communication

Tags:

Agricultural Scientist
AI training
soil analysis
plant physiology
data validation
agronomy
crop management
pest control
scientific research
model refinement
expert guidance
AI systems
machine learning
agricultural technology
datasets
algorithms
data annotation
model development
data science
scientific software
predictive analytics

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How to Get Hired at Keystone Recruitment

  • Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their approach to talent acquisition.
  • Tailor your resume: Customize your resume and cover letter to highlight specific experience in soil science, plant physiology, agronomy, and AI training, emphasizing keywords from the Agricultural Scientist job description.
  • Showcase relevant projects: Detail past work or research projects involving crop breeding, soil composition analysis, integrated pest management, or any exposure to agricultural AI applications.
  • Prepare for technical questions: Be ready to discuss advanced concepts in agronomy, plant physiology, soil management, and data validation techniques relevant to AI model training.
  • Emphasize remote work skills: Highlight your self-motivation, capacity for independent work, and proven ability to collaborate effectively in a remote team environment.

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