Geology QA Lead - Remote

Key Responsibilities

• Spot-check geology/earth science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Evaluate AI-generated geology explanations, earth science summaries, geologic process descriptions, map/data interpretations, climate or hazard explanations, and step-by-step reasoning for accuracy and clarity.
• Communicate with trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and geology/earth-science-specific review standards.
• Respond to trainer/QA questions clearly and promptly, especially around geologic timescales, rock/mineral identification, earth systems, natural hazards, spatial reasoning, environmental interpretation, and rubric interpretation.
• Manage trainer/QA activation by DMing inactive contributors, encouraging activation, tracking follow-ups, and flagging availability issues when needed.
• Create and maintain geology/earth science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and geology/earth-science-specific review requirements.
• Ensure all trainers and QAs apply geology/earth science review guidelines consistently and understand updates as projects evolve.
• Flag misleading, overconfident, geologically impossible, environmentally unsupported, or poorly contextualized earth science claims.
• Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for earth science/geology AI training projects.

About the role

In this hourly, remote contractor role, you will work as a Geology Quality Assurance Lead to oversee quality, consistency, and trainer performance across geology and earth science AI training projects. You will review AI-generated earth science/geology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.