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Job Description

Bring senior geology expertise to AI evaluation projects focused on rock interpretation, subsurface models, sampling, and geological uncertainty. Review model responses and worked examples for unsupported resource estimates, operating constraints, and safety or reliability gaps. Assess whether the reasoning meets professional standards for the stated task. Write reference answers and scoring criteria grounded in rock interpretation, subsurface models, sampling, and geological uncertainty. Explain consequential errors, evidence gaps, and the reasoning behind your corrections. This is remote, project-based contract work. Scope, hours, and assignments depend on project matching; the listed hourly range applies to matched work.

Why Apply

• Expert-level compensationEarn $90 - $120/hr for work that values your professional judgment.
• Flexible remote workContribute asynchronously around your existing professional commitments.
• Meaningful model impactHelp advanced AI systems reason more accurately in energy & natural resources.
• Focused projectsAccept only the opportunities that fit your experience and availability.

Responsibilities

• Evaluate advanced domain tasks and AI-generated responses for factual accuracy and professional judgment.
• Apply current standards, methods, and risk considerations from energy & natural resources.
• Document errors, edge cases, and the reasoning behind an ideal response.
• Collaborate asynchronously with Alpheva's research and evaluation teams.

Required Qualifications

• 7+ years of substantive experience in professional geology or geoscience.
• Demonstrated senior-level judgment in rock interpretation, subsurface models, sampling, and geological uncertainty, with substantial responsibility for reviewing or delivering this work.
• Ability to write precise reference answers, assess competing approaches, and justify corrections with traceable evidence.

Company Description

Alpheva AI builds the expert data, evaluations, and real-world environments that help frontier AI systems become more capable and reliable. We partner with experienced professionals whose judgment can teach models how high-quality work is actually done.