Environmental Specialist | Remote

Crossing Hurdles; United States; Remote; CAD 90,000 - 130,000; Full time

Job summary

Crossing Hurdles in Canada seeks a specialist to design realistic earth-science tasks that challenge advanced AI models. You will craft task instructions, reproducible environments, reference solutions, and detailed evaluation criteria to enable rigorous testing.

You will also evaluate model-generated code and geospatial analyses, simulations, and forecasts, while identifying issues in coordinate systems, data, assumptions, uncertainty, and numerical methods.

Qualifications

• Prior paid experience training, evaluating, benchmarking, or improving AI systems on scientific or technical tasks.
• Strong practical proficiency with Python.
• Deep expertise in at least one relevant earth or environmental-science specialization.
• Hands-on experience using computational methods for geospatial analysis, modeling, simulation, forecasting, remote sensing, statistics, or reproducible research.

Responsibilities

• Create realistic computational earth-science tasks that challenge advanced AI models.
• Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
• Evaluate model-generated code, geospatial analyses, simulations, forecasts, and technical deliverables.
• Identify issues involving coordinate systems, spatial or temporal data, model assumptions, uncertainty, numerical methods, or reproducibility.

Skills

Geospatial analysis

Reproducible research

AI model evaluation

Tools

Python

Job description

• Create realistic computational earth-science tasks that challenge advanced AI models.
• Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
• Evaluate model-generated code, geospatial analyses, simulations, forecasts, and technical deliverables.
• Identify issues involving coordinate systems, spatial or temporal data, model assumptions, uncertainty, numerical methods, or reproducibility.

Requirements

• Prior paid experience training, evaluating, benchmarking, or improving AI systems on scientific or technical tasks.
• Strong practical proficiency with Python.
• Deep expertise in at least one relevant earth or environmental-science specialization.
• Hands-on experience using computational methods for geospatial analysis, modeling, simulation, forecasting, remote sensing, statistics, or reproducible research.