Climate Scientist - AI Trainer

DataAnnotation is seeking a Climate Scientist - AI Trainer to evaluate and provide feedback on AI-generated quantitative analyses. Candidates should have 3+ years of experience in a quantitative field and coding skills. The role allows for flexible project selection and scheduling, with pay ranging from $50 to $100+ per hour. This position is remote and open to applicants from the US, Canada, UK, Ireland, Australia, and New Zealand.
About The JobWe are looking for existing quantitative professionals to help train AI models. In this role, you will work closely with state‑of‑the‑art AI models on tasks like evaluating AI‑generated quantitative analyses, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full‑time role, while others treat it as their primary focus.Advantages Of Contracting With UsYou’ll be able to choose which projects you want to work on and whenYou work on your own schedule, on your own computer, from the comfort of your own homeProjects are paid hourly starting at $50‑$100+ USD per hour, with bonus rates available on some projectsResponsibilitiesEvaluate AI‑generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‑driven insights, for technical accuracy and real‑world validity.Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.Write clear technical explanations and well‑documented analytical code.Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.Qualifications3+ years of hands‑on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.Some coding experience required, with comfort writing and reviewing analytical code end‑to‑end.Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‑series forecasting).Fluency in English (native or bilingual level) with strong writing skills.A bachelor’s degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).NotePayment is made via Pay Pal. We will never ask for any money from you. Pay Pal will handle any currency conversions from USD. Only applicants in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand will be considered for this role. This is an independent contractor position.#J-18808-Ljbffr