Spanish Research Analyst
hace 4 semanas
We are seeking a highly skilled Research Analyst to contribute to our project focused on improving generative AI through researching Large Language Models. As a key member of our team, you will play a crucial role in designing, creating, and answering questions related to causality within various narratives and scenarios.
Main Duties- Generate prompts and responses that delve into causal reasoning, focusing on the relationships and dependencies within given scenarios.
- Develop guidelines for crafting prompts that explore causality, probing cause-and-effect relationships and relevant connections within narratives.
- Create and answer questions about causality in narratives, ensuring a deep understanding of how different elements interact and influence each other.
- Design detailed prompts for various scenarios, investigating causes, effects, and relationships, and exploring how changes in one element can impact the overall narrative.
To be successful in this role, you will need a Master's degree (+ 3 years of experience) or PhD in one of the following fields: Cognitive Science, Psychology, Philosophy (with a focus on Classical Logics), Linguistics (with a focus on Computational Linguistics, Pragmatics or Semantics), or NLP research. Alternatively, a BA in linguistics + 5 years of relevant work experience in a related field may be considered. You must have a strong interest in research, excellent analytical skills, and the ability to understand and articulate complex relationships, particularly those involving causality, counterfactuals, and covariation. C2 Spanish (Spain) with B1 in English is also required. Demonstrable experience in causal, counterfactual, or covariational reasoning is highly desirable.
What We OfferAs a Research Analyst at Welocalize, you will have the opportunity to work on a cutting-edge project that aims to advance causal reasoning in large language models. You will be part of a dynamic team that values innovation, collaboration, and continuous learning. If you are passionate about exploring how different factors are causally related and can generate insightful prompts and responses, we encourage you to apply.
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