We are looking for AI Trainer (Earth & Environmental Sciences) candidates for a project delivered through the hiring partner.
What you'll do
- 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.
What you need
- 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.
Nice to have
- Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems.
- Experience reviewing other AI trainers’ technical submissions.
- Experience with NumPy, SciPy, pandas, xarray, GeoPandas, GDAL, rasterio, NetCDF, or comparable tools.
- Experience validating computational results against observations, measurements, or established models.
- Availability to begin immediately.
Expertise
Who you work with
Project and contracting process: the hiring partner. Applications continue on the provider's website.
Pay and hours
This role pays $60–$120/hr, for 15 h/week. The work is remote. That is about 6% above the $85 an hour median for science & research roles open now.
Who can apply from where
The provider lists this role as open worldwide. With a profile, Tier1 checks your country and languages against this role and every other before you apply.