Earth Sciences Research Engineering Expert Jobs – $300 Per Approved Task | Remote

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Scientific Computing / Research Engineering Expert – Earth Sciences (Remote)

Job Title: Scientific Computing / Research Engineering Expert – Earth Sciences

Category: Engineering / Scientific Computing

Location: Remote

Employment Type: Contractor Assignment

Contract Duration: 5 Weeks

Payment: $300 per approved task

Work Commitment: Minimum 40 Hours per Week

Daily Availability: At least 6 Hours per Day

Time Zone Requirement: 4 Hours of Overlap with Pacific Standard Time (PST)

Expected Start: Next Week, according to the job listing

About the Opportunity

Are you an Earth Sciences expert with strong scientific programming and computational research skills? This remote opportunity involves creating realistic, terminal-based scientific tasks for Terminal Bench Science.

Selected experts will translate real-world Earth science workflows into practical benchmark tasks that help evaluate AI agents. The work includes scientific datasets, computational workflows, numerical models, geospatial analysis, and objectively verifiable scientific results.

Key Responsibilities

  • Convert authentic Earth science workflows into self-contained terminal benchmark tasks.
  • Prepare climate, environmental, geological, hydrological, atmospheric, geospatial, and oceanographic datasets.
  • Build reproducible computational environments using scientific libraries and command-line tools.
  • Create expert solutions using Python, R, Bash, Julia, or other scientific programming languages.
  • Develop tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis.
  • Define objective grading criteria for scientific outputs and data transformations.
  • Validate coordinate systems, units, timestamps, missing data, and scientific assumptions.
  • Create automated tests for numerical accuracy, file formats, metadata, and reproducibility.
  • Debug geospatial projections, large datasets, software dependencies, performance, and numerical stability.
  • Document data sources, expected outputs, edge cases, and limitations.

Required Qualifications

  • Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field.
  • Strong expertise in at least one area such as climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, environmental modeling, or Earth-system science.
  • Strong programming skills in Python, R, Julia, Bash, or another scientific programming language.
  • Practical experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
  • Comfortable working independently in Linux and terminal-based environments.
  • Ability to build, debug, and validate reproducible scientific workflows.
  • Strong understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.

Preferred Qualifications

  • Experience with NumPy, pandas, SciPy, xarray, rasterio, GeoPandas, Cartopy, GDAL, or similar tools.
  • Knowledge of NetCDF, HDF5, GeoTIFF, shapefiles, or GRIB data formats.
  • Experience with climate, weather, satellite, seismic, oceanographic, geological, or hydrological datasets.
  • Familiarity with Docker, Conda, Git, CI/CD, automated testing, or HPC environments.

Additional Advantages

  • Research software engineering experience.
  • Scientific benchmarking or automated grader development.
  • Experience evaluating AI coding or terminal agents.
  • Experience developing tasks and evaluations for AI systems.
  • Relevant research publications or open-source contributions.

Contract and Payment Details

  • Payment: $300 per approved task.
  • Payment Model: Pay per approved task, not a guaranteed hourly salary.
  • Duration: 5 weeks.
  • Weekly Commitment: Minimum 40 hours.
  • Daily Commitment: At least 6 hours per day.
  • Time Zone: 4 hours of overlap with PST required.
  • Work Type: Remote contractor assignment.
  • Start Date: Expected next week, according to the listing.

Important Payment Information: The listed payment is $300 for each approved task. Actual earnings depend on the number of tasks completed and approved. This is not a guaranteed $300 hourly or daily rate. The contractor assignment does not include medical or paid leave.

Who Should Apply?

This opportunity is suitable for experienced Earth Sciences researchers, scientific computing specialists, research engineers, and technical experts with strong programming and scientific data analysis experience.

Applicants should be comfortable building scientific workflows, working in Linux terminals, processing complex datasets, and validating computational results.

How to Apply

Check the original recruiter or company job listing for the official application link and submission instructions. Confirm the payment approval process, task expectations, and contract details before accepting the assignment.

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