We are seeking an experienced Pod Lead – Scientific Computing / Research Engineering Expert in Earth Sciences to support an advanced AI training and evaluation initiative.
Remote AI Expert - Earth & Environmental Sciences Jobs in Ghana 2026
20 remote jobs open to candidates in Ghana in AI Expert - Earth & Environmental Sciences. Updated daily.
Role Details Employment Type: Contract Location: Bangladesh, India, Pakistan, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, and Colombia Contract Duration: 5 weeks Start Date: Immediate Work Commitment: 40 hours per week, with at least 4 hours of daily overlap with Pacific…
Turn computational work from your own earth, ocean, or climate science research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates.
Role Title: Agriculture, Forestry & Environmental Experts Role Type: Contractor Location: Remote micro1 is engaging Agriculture, Forestry & Environmental Experts to collaborate on a customer project aimed at advancing sustainable practices and environmental stewardship.
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
We are seeking Earth Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will create computational workflows involving environmental data, climate systems, atmospheric processes, geophysics, oceanography, geology, and related…
Environmental scientists and engineers build expert-level evaluation and training data for frontier AI labs. AfterQuery partners with frontier AI labs to build expert-level evaluation and training data.
Geologists and earth scientists to build the geoscience and climate scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
We're working with a leading foundational AI lab to find experienced biologists and environmental scientists who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
Review prompts and evaluate LLM tasks covering physical and human geography, climate, geopolitics, demographics, maps, and environmental systems in a flexible remote contractor role.
Apply geology and earth science expertise to AI datasets — validate geoscience content, annotate research data, and improve earth-science AI models.
What if your expertise in climate science could directly shape how AI understands one of the most critical challenges facing our planet?
What if your years of graduate-level training in atmospheric science could directly shape how AI understands our planet's most complex systems — from climate dynamics to ecological tipping points?
We're partnering with the world's leading AI research teams to build smarter, more technically rigorous AI models — and we need environmental engineers to help get it right.
We're looking for experienced forestry and land management scientists to help shape the next generation of AI. Your field expertise will directly influence how AI systems understand, reason about, and communicate sustainable forestry and land-use practices — making a real-world…
We're looking for experienced natural resource conservation scientists to help shape the next generation of AI. Your scientific expertise will directly influence how AI systems understand, reason about, and communicate environmental science — from ecosystem management to…
We're looking for wildlife and habitat conservation scientists to help shape how AI understands biodiversity protection and ecosystem management.
We're looking for environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making.
Provide environmental science expertise for AI training covering climate, ecology, sustainability, and environmental policy domains.
Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems.