Earth, Ocean & Climate Science Researcher (Task Author)

OpenTrain AI, Inc.; United Arab Emirates; Remote; AED 417,000 - 594,000; Part time

Job summary

OpenTrain AI, Inc. is seeking an Earth, Ocean and Climate Science Researcher (English) to design and implement research-grade Python tasks for evaluating AI models on geophysical problems.

The contractor will create tasks, provide reference solutions and tests, and define evaluation metrics, working remotely from any eligible country. Applicants should have hands-on Python coding experience in Earth/ocean/climate contexts and be able to translate computational research into clear, testable

Qualifications

• Experience turning research into clearly defined tasks for AI evaluation.
• Ability to write Python reference solutions and tests.
• Strong background in Earth, ocean, or climate science is preferred.

Responsibilities

• Create evaluation tasks based on computational research.
• Build a main problem with connected subproblems.
• Write a Python reference solution and tests to verify results.
• Define performance measures to judge solution quality.
• Optionally review tasks created by other experts.

Skills

Python

Independent work

Education

Bachelor's degree in geophysics/oceanography/atmospheric science

Tools

Public research code

Job description

Earth, Ocean And Climate Science Researcher (English)

Create research-grade Python tasks that test AI models on Earth, ocean, and climate science problems. This flexible contractor role pays $100 per hour, with tasks taking about two hours and no fixed weekly schedule.

Remote Hourly $100/hr

Contract

Remote

Location: Remote. Open to candidates in the listed eligible countries.

Open in 95 countries

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Côte d’Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will turn computational research you have personally run and debugged into clear tasks for evaluating AI models. The work can cover geophysical inversion, ocean or atmosphere modeling, data assimilation, remote sensing, hydrology, geodynamics, or climate science.

Each task should reflect real scientific reasoning, implementation, and validation. You may also review and calibrate tasks created by other experts in your field.

• Design original evaluation tasks based on your own computational research.
• Build a main problem with connected subproblems.
• Write a Python reference solution and tests that check the result.
• Define useful measures for judging solution quality.
• Optionally review and calibrate tasks from other subject-matter experts.

What it pays and takes

This is flexible, task-based independent-contractor work. There is no fixed weekly schedule, and there is no stated cap on the number of tasks.

• Pay: $100 per hour.
• The role description states $200 per approved task, with each task taking about two hours.
• Location: Open to candidates in the listed eligible countries.
• Experience: Research-track bachelor's students with research experience, current master's or PhD students, postdoctoral researchers, and researchers in a related field may apply.
• Background: Geophysics, oceanography, atmospheric science, geology, hydrology, or a closely related field.
• Skills: Hands‑on experience writing code, preferably Python, to model or analyze Earth, ocean, or atmospheric systems.
• You must be able to turn computational research into a clear task with a reference solution and tests.
• You must work independently, manage your own time, and work as an independent contractor without visa sponsorship.
• Helpful experience includes data assimilation, ocean or atmosphere modeling, seismic inversion, public research code, a thesis, scientific papers, data annotation, data labeling, or AI and machine‑learning evaluation.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is free to join and helps people find AI training and data‑labeling projects in one place.

About AI training work

AI training is the human work behind systems that learn from examples. In this role, your scientific tasks and reference solutions help assess whether AI models can reason through real computational problems.

Requirements

Job details

Contract

Remote

Pay: $100 per hour. The role description states $200 per approved task, with each task taking about two hours.

Location: Remote. Open to candidates in the listed eligible countries.

Experience: Research-track bachelor's students with research experience, current master's or PhD students, postdoctoral researchers, and researchers in a related field may apply.

Background: Geophysics, oceanography, atmospheric science, geology, hydrology, or a closely related field.

Skills: Hands‑on experience writing code, preferably Python, to model or analyze Earth, ocean, or atmospheric systems.

You must be able to turn computational research into a clear task with a reference solution and tests.

You must work independently, manage your own time, and work as an independent contractor without visa sponsorship.

Helpful experience includes data assimilation, ocean or atmosphere modeling, seismic inversion, public research code, a thesis, scientific papers, data annotation, data labeling, or AI and machine‑learning evaluation.