Geology QA Lead - Remote
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Key skills for this role
About the Role
YO IT Consulting seeks a Geology Quality Assurance Lead for a remote contract role. You will oversee quality and trainer performance for geology AI training projects, reviewing earth science content for accuracy and providing feedback.
Key Skills for This Role
Responsibilities
- Spot check geology/earth science items, identify quality issues, and provide ongoing feedback.
- Evaluate AI generated geology explanations and earth science summaries for accuracy and clarity.
- Update trainers and QAs on project guidelines and quality expectations.
- Respond to trainer/QA questions regarding geologic concepts and rubric interpretation.
- Manage trainer/QA activation and follow up on inactivity.
- Create and maintain project documentation including style guides and FAQs.
- Schedule and run onboarding/training calls for trainers and QAs.
- Flag misleading or geologically impossible claims in AI generated content.
- Identify recurring quality gaps and propose workflow improvements.
Requirements
- Bachelor’s, Master’s, or PhD degree in Geology, Earth Sciences, or closely related field
- 3+ years of experience in geology/earth science research, teaching, fieldwork, or related workflows
- Strong English communication skills
- Experience leading or supporting remote teams is strongly preferred
Full Job Posting
Job Description
- In this hourly, remote contractor role, you will work as an 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.
Your Profile
- Bachelor’s, Master’s, or PhD degree in Geology, Earth Sciences, Geoscience, Environmental Science, Geophysics, Geochemistry, Hydrology, Paleontology, Oceanography, or a closely related field.
- Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
- 3+ years of experience in geology/earth science research, teaching, fieldwork, environmental consulting, geospatial analysis, academic review, science communication, or related workflows.
- Strong understanding of plate tectonics, rock cycle, mineralogy, stratigraphy, geologic time, structural geology, geomorphology, natural hazards, climate systems, hydrology, and earth system processes.
- Ability to evaluate earth science/geology content against detailed rubrics and identify issues such as incorrect geologic processes, wrong timescales, misleading causal claims, flawed map/data interpretation, unsupported environmental claims, or oversimplified explanations.
- Familiarity with tools or methods such as GIS, remote sensing, geologic mapping, field methods, core/log interpretation, geochemical data, climate datasets, Python/R, or scientific visualization is preferred.
- Experience leading or supporting remote teams of researchers, educators, reviewers, environmental specialists, annotators, or QAs is strongly preferred.
- Comfortable working in fast moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- Highly detail oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
- Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric based review is a strong plus.
Key Responsibilities
- Quality monitoring: Spot check geology/earth science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
- Scientific review: 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.
- Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and geology/earth science specific review standards.
- Question handling: 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.
- Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow ups, and flag availability issues when needed.
- Documentation: Create and maintain geology/earth science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
- Onboarding and training: 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.
- Quality alignment: Ensure all trainers and QAs apply geology/earth science review guidelines consistently and understand updates as projects evolve.
- Risk review: Flag misleading, overconfident, geologically impossible, environmentally unsupported, or poorly contextualized earth science claims.
- Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for earth science/geology AI training projects.
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