Remote Crop Monitoring Specialist - AI & Data Analytics

Placements24; Midrand; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Remote work support

Health insurance

Retirement plan

Learning & conferences

Job summary

Placements24 is recruiting a Remote Crop Monitoring Specialist to join a global, fully remote team. The role focuses on analyzing satellite imagery, drone data, and sensor readings to monitor crop health, predict yields, and identify issues across diverse agricultural regions.

You will leverage AI/ML, data analytics, and agronomic knowledge to guide farming decisions and sustainability initiatives. The ideal candidate has advanced degrees in agronomy or data-related fields and at least 4 years

Job description

About the Role

Our client, a cutting-edge AgTech innovator, is seeking a highly skilled and motivated Remote Crop Monitoring Specialist to join their expanding global team. This fully remote position is ideal for an individual passionate about leveraging artificial intelligence and data analytics to revolutionize crop management. You will be responsible for remotely analyzing satellite imagery, drone data, and sensor readings to monitor crop health, predict yields, and identify potential issues such as disease outbreaks or nutrient deficiencies across diverse agricultural regions. Your insights will directly inform our clients' farming decisions, promoting efficiency and sustainability. This role requires a deep understanding of agricultural science, strong analytical capabilities, and the ability to work independently in a remote-first environment.

Key Responsibilities

• Utilize advanced remote sensing technologies (satellite, aerial imagery) and AI algorithms to monitor crop health, growth stages, and stress factors.
• Analyze large datasets from various sources, including IoT sensors, weather stations, and farm management software.
• Develop and refine predictive models for crop yield forecasting, disease detection, and pest identification.
• Generate clear and actionable reports and visualizations for clients, outlining key findings and recommended interventions.
• Collaborate with the product development team to improve monitoring tools and analytical platforms.
• Provide technical support and guidance to clients on interpreting monitoring data and implementing management strategies.
• Stay abreast of the latest advancements in remote sensing, AI, machine learning, and agricultural technology.
• Contribute to research and development efforts aimed at enhancing crop monitoring capabilities.
• Ensure data accuracy, integrity, and security throughout the monitoring process.

Requirements

• A Master's or PhD degree in Agronomy, Agricultural Science, Data Science, Remote Sensing, or a related quantitative field.
• Minimum of 4 years of experience in crop monitoring, agricultural data analysis, or a similar role involving remote sensing and AI/ML.
• Proven expertise in analyzing satellite or aerial imagery (e.g., Sentinel, Landsat, Planet) and using GIS software.
• Strong understanding of crop physiology, plant pathology, and agronomic principles.
• Proficiency in programming languages commonly used in data science (e.g., Python, R) and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb written and verbal communication skills, with the ability to explain complex technical concepts to a non-technical audience.
• Demonstrated ability to work independently, manage time effectively, and meet deadlines in a remote work setting.

Benefits

• This role offers a highly competitive salary, performance bonuses, and comprehensive remote work support.
• Our client provides top-tier health insurance, a generous retirement savings plan, and a flexible paid time off policy.
• Continuous learning is encouraged through access to online courses, workshops, and industry conferences.
• You'll be joining a globally distributed, innovative team that is shaping the future of agriculture.
• The role is entirely remote, though candidates ideally reside within reasonable proximity to Midrand, Gauteng for occasional team meetups.