Spanish Research Analyst

hace 1 semana


Barcelona, Barcelona, España Welocalize, Inc. A tiempo completo

Job Summary

We are seeking a highly analytical Research Analyst to join our team at Welocalize, Inc. as a Causal Reasoning Expert. The successful candidate will have a strong background in cognitive science, psychology, philosophy, linguistics, or NLP research, with a focus on causal reasoning and dynamics.

Key Responsibilities

  • Design and develop prompts and responses that explore causal reasoning in various narratives and scenarios.
  • Develop guidelines for crafting prompts that probe 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.

Requirements

  • 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, BA in linguistics + 5 years of relevant work experience in a related field may be considered.
  • Must have:
    • A strong interest in research is highly desirable.
    • Previous experience with published papers or contributions to academic research is a plus.
    • Excellent analytical skills, with the ability to understand and articulate complex relationships, particularly those involving causality, counterfactuals, and covariation.
    • C2 Spanish (Spain) with B1 in English.
    • Demonstrable experience in causal, counterfactual, or covariational reasoning, evidenced through previous work, research, or academic projects/papers.

What We Offer

As a Causal Reasoning Expert at Welocalize, Inc., you will have the opportunity to work on cutting-edge projects that advance causal reasoning in large language models. You will be part of a dynamic team that values innovation, collaboration, and continuous learning.


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