Join our customer's team as a Meteorologist Consultant and play a vital role in enhancing AI systems' comprehension of meteorological data and phenomena. This unique opportunity allows you to directly influence the accuracy and capabilities of next-generation weather-related AI through your expertise in atmospheric sciences.

About the Company

micro1 is a data engine that assists AI labs in training foundational models and helps enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments to enhance LLM capabilities, alongside contextual evaluations for monitoring and improving AI agents in enterprise settings. Our platform includes an AI recruiter agent for sourcing and vetting domain experts, a data platform for rapid production of high-quality training data, and a pipeline performance system ensuring quality and speed.

Responsibilities

• Analyze and interpret complex weather systems, atmospheric patterns, and data for AI training purposes.
• Review and annotate weather maps, satellite imagery, and radar data with high accuracy.
• Collaborate with AI engineering teams to provide expert insights on meteorological processes and data interpretation.
• Develop and refine guidelines for best practices in labeling and categorizing weather phenomena for machine learning applications.
• Evaluate AI model outputs, providing constructive feedback and suggestions for improvement.
• Communicate findings and recommendations clearly through written reports and virtual meetings.
• Stay updated with the latest advancements in meteorology and incorporate relevant knowledge into project work.

Requirements

• Professional experience in meteorology or a closely related field.
• In-depth knowledge of weather systems and atmospheric processes.
• Proven ability to analyze weather maps, satellite images, and radar data.
• Strong written and verbal communication skills, emphasizing clarity and detail.
• Experience collaborating in remote, interdisciplinary teams.
• Proficient in interpreting and annotating meteorological datasets for technical or research purposes.
• Detail-oriented approach and a passion for data accuracy in scientific contexts.

Nice to Have

• Previous involvement in AI, machine learning, or data science projects related to meteorology.
• Experience developing educational or training materials for meteorological concepts.
• Advanced degree in Meteorology, Atmospheric Science, or a related discipline.