Meteorologist Expert

Job Title: Meteorologist Expert

Job Type: Contractual

Location: Remote

About Us

micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.

Job Summary

Join our customer’s team as a Meteorologist Expert and play a critical role in advancing AI systems’ understanding of meteorological data and phenomena. This unique opportunity allows you to directly shape the accuracy and capabilities of next-generation weather-related AI through your expertise in atmospheric sciences.

Key Responsibilities

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

Required Skills and Qualifications

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

Preferred Qualifications

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