Remote Data Jobs • AI

Join our client's team as a Geologist – AI Trainer, where your geological expertise will help shape the next generation of artificial intelligence models in earth sciences. You’ll use your knowledge of field mapping, rock and mineral identification, and geoscience data analysis to train AI systems on complex geological concepts. This is a unique opportunity to influence cutting-edge AI technology while working with passionate professionals in a fully remote setting.

As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the VP of Data Science.

We’re looking for environmental physics specialists who live and breathe atmospheric dynamics, radiation transfer, climate modeling, fluid mechanics, geophysical processes, remote sensing, hydrological systems, and energy balance theory, you’ll challenge advanced language models on topics like greenhouse gas fluxes, solar irradiance, boundary-layer physics, pollutant dispersion, ocean–atmosphere interactions, thermodynamic feedback loops, and land surface processes—documenting every failure mode so we can harden model reasoning.

You will challenge advanced language models on topics like verb conjugation, gender and number agreement, French idioms, phonetic nuances, sentence structure, and stylistic variation—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

Shape the future of AI as a science expert fluent in Italian. Help build the next generation of AI learning tools by evaluating scientific explanations for accuracy and clarity, and generating natural examples of science instruction reflecting Italian language, terminology, and pedagogy. You'll test the AI’s ability to answer questions, correct misconceptions, and explain key concepts. You'll flag flawed model logic, draft better responses, and support prompt engineering and evaluation efforts.

We are seeking a Lead Applied Scientist to lead our efforts in scaling the number of models deployed to production using our AI Platform over the next year. The ideal candidate will have several years of experience in ML Ops and Applied ML Research and will lead the vision for how our AI Platform can soon support dozens of models in production.

The ELEKS Artificial Intelligence Office is seeking a Data Scientist to lead complex data science projects, design and implement analytical solutions, and communicate data-driven insights to stakeholders. The role involves applying advanced data science methods, ensuring compliance with standards, and driving adoption of analytical outputs across the business.

Are you a Kannada language expert eager to shape the future of AI? We’re looking for Kannada language specialists who live and breathe Kannada grammar, syntax, morphology, phonetics, semantics, and pragmatics. You’ll challenge advanced language models on topics like verb conjugation, sentence structure, honorifics, word order, regional dialects, script variations, and idiomatic expressions—documenting every failure mode so we can harden model reasoning.

Looking for part-time, remote, work-from-home jobs where you can set your own schedule, this opportunity helps to improve the reliability of today’s AI models! Typical tasks include annotating or evaluating AI-generated speech for naturalness, human likeness, and expressiveness and comparing AI and human responses.

Your insights will directly contribute to the training of AI in chemistry, physics, and engineering applications. You’ll help AI better understand structure-property relationships, materials design, and experimental methods. You will review AI-labeled content across materials science and engineering topics, assess accuracy and completeness of data and support the development of AI tools used in research and applied science.