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Thoth AI Logo Thoth AI · IT - Software Development

Scientific Labeler & LaTeX Specialist

Spain · Job Posted May 05, 2026
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Job Description

Thoth AI is seeking detail-driven, STEM-literate individuals to train vision-language models (VLMs) to understand and process complex scientific content. As a Scientific Data Labeler, you will transcribe and standardize mathematical, physical, and chemical content from educational images into structured LaTeX code, directly contributing to the development of smarter, more capable AI. We are hiring across four language tracks: Spanish, Indonesian, and Portuguese.

Job Responsibility

  • Accurately transcribe mathematical formulas, chemical equations, and physical symbols from images using LaTeX
  • Clean and standardize educational text content in your native target language
  • Ensure structured data outputs meet VLM training quality specifications
  • Maintain high accuracy and consistency across large volumes of technical content
  • Follow annotation guidelines and meet productivity and quality targets

Requirements

  • Proficient in LaTeX, including fractions, matrices, square roots, summations, and multi-line equations
  • First-language proficiency (C2 level) in targeted languages: Spanish, Indonesian, or Portuguese (one language per applicant)
  • Strong English reading and writing skills: B1/B2 or equivalent (mandatory for all non-English tracks) — all project documentation and guidelines are in English
  • High attention to detail with the ability to follow complex, structured annotation guidelines
  • Ability to work independently and deliver consistent output in a remote setting

Nice to have

  • A current student or graduate in a STEM field (Mathematics, Physics, Chemistry, Engineering, or related discipline) is strongly preferred
  • Experience using LaTeX in academic contexts (e.g., thesis writing, research papers, or teaching assistant roles) is a strong advantage
  • Prior experience in data labeling, annotation, or content processing projects is a plus
  • Familiarity with AI training data workflows is beneficial but not required
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