Geology Quality Assurance Lead

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts contributors for projects that help improve how artificial intelligence understands and communicates specialized knowledge.

By joining this work, you will contribute your geology expertise to the human review process behind modern AI systems while building experience in a rapidly growing technology field.

About AI Training and Scientific Review

AI training depends on expert reviewers who evaluate model-generated answers, identify unsupported claims, and provide precise feedback. In scientific projects, reviewers help ensure that AI outputs use sound reasoning, accurate terminology, appropriate context, and evidence-based conclusions.

This role focuses on evaluation and RLHF-style review of geology and earth science content. The work is remote, structured around detailed rubrics, and designed for contributors who can apply specialized knowledge to improve AI quality.

The Role

OpenTrain AI is hiring a Geology Quality Assurance Lead to oversee scientific quality across remote geology AI training projects. You will review AI-generated content, trainer submissions, and QA work for accuracy, geologic reasoning, terminology, spatial and temporal context, unit handling, data interpretation, clarity, formatting, instruction following, and rubric alignment.

The role also includes quality monitoring, trainer and QA communication, question handling, activation follow-up, documentation, onboarding support, and process improvement for distributed expert teams.

• Contractor, part-time engagement
• 20+ hours per week
• US-based opportunity
• English-language work
• $70 per hour
• Expert-level experience expected

What You’ll Do

You will combine deep earth science knowledge with careful quality assurance and clear written communication. Your reviews will help distinguish scientifically sound responses from content that is misleading, overconfident, impossible, or missing important context.

• Review geology explanations, earth science summaries, and descriptions of geologic processes.
• Evaluate map and data interpretations, climate and hazard explanations, and step-by-step reasoning.
• Assess scientific accuracy, geologic plausibility, terminology, units, spatial and temporal context, and rubric adherence.
• Provide precise written feedback and escalate recurring or critical quality issues.
• Communicate project changes, workflow updates, and review standards to trainers and QAs.
• Maintain style guides, trackers, FAQs, examples, calibration tasks, and onboarding materials.
• Flag misleading, overconfident, geologically impossible, or poorly contextualized claims.
• Support onboarding and training calls for remote expert teams.
• Handle questions, activation follow-up, documentation, and process improvement activities.

Required Qualifications

You should have substantial geology or earth science expertise and the ability to evaluate complex technical content against detailed quality standards. Clear written English is essential for delivering precise feedback and coordinating with trainers, QAs, and distributed project teams.

• Degree in Geology, Earth Sciences, Geoscience, Environmental Science, Geophysics, Geochemistry, Hydrology, Paleontology, Oceanography, or a closely related field.
• At least 3 years of experience in geology or earth science research, teaching, fieldwork, consulting, geospatial analysis, academic review, science communication, or related work.
• Strong knowledge of plate tectonics, the rock cycle, mineralogy, stratigraphy, geologic time, structural geology, geomorphology, natural hazards, climate systems, hydrology, and earth system processes.
• Ability to identify flawed geologic reasoning, unsupported claims, scientific inaccuracies, and failures to follow detailed rubrics.
• Strong written English communication skills for feedback and team coordination.

Preferred Experience

Experience in AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review is a strong plus. Familiarity with distributed collaboration and documentation tools will also support success in this role.

• GIS, remote sensing, geologic mapping, or field methods
• Core or log interpretation
• Geochemical data or climate datasets
• Python, R, or scientific visualization
• Remote team support and expert-team coordination
• AI training, scientific quality assurance, LLM evaluation, or rubric-based review
• Discord, Google Sheets, Google Docs, trackers, dashboards, or project management tools
• Maintaining documentation and calibration materials for distributed teams

Why This Work Matters

Every major AI system depends on examples and evaluations prepared by people. As a geology quality reviewer, you will help shape whether AI can explain earth systems responsibly, interpret scientific information accurately, and communicate uncertainty with appropriate care.

OpenTrain makes it possible to start and grow a career in AI training by helping contributors discover projects, build a profile, and apply in minutes. Creating an OpenTrain account is free.

How to Apply

Apply through OpenTrain to be considered for this US-based, part-time contractor opportunity. Highlight your geology or earth science background, relevant review or quality assurance experience, and familiarity with AI training or distributed expert teams.

• Confirm that you can contribute 20+ hours per week.
• Showcase relevant geology, earth science, research, teaching, fieldwork, or consulting experience.
• Describe experience evaluating technical content, applying rubrics, or giving precise written feedback.
• Mention relevant tools or methods, including GIS, remote sensing, scientific datasets, Python, R, or remote collaboration platforms.