Join our team as a Meteorologist Consultant and contribute to enhancing AI systems' understanding of meteorological data and phenomena. This role offers a unique opportunity to influence the accuracy and capabilities of advanced weather-related AI through your expertise in atmospheric sciences.

About the Company

micro1 is a data engine that aids AI labs in training foundational models and assists enterprises in building AI agents. We provide frontier evaluations and reinforcement learning environments to enhance LLM capabilities, along with contextual evaluations for monitoring and improving AI agents in enterprise settings. Our data engine features 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 velocity.

The Role

As a Meteorologist Consultant, you will analyze and interpret complex weather systems and atmospheric patterns for AI training. Your insights will directly impact the development of next-generation weather-related AI applications.

Responsibilities

• Analyze and interpret complex weather systems, atmospheric patterns, and data for AI training.
• Review and annotate weather maps, satellite imagery, and radar data with precision.
• 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 and provide constructive feedback for enhancements.
• Clearly communicate findings and recommendations through written reports and virtual meetings.
• Stay updated on the latest advancements in meteorology and integrate 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 with 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 in developing educational or training materials for meteorological concepts.
• Advanced degree in Meteorology, Atmospheric Science, or a related discipline.

If you are passionate about leveraging your meteorological expertise to advance AI technology, we encourage you to apply and be part of our innovative team.