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Castilian Spanish/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis.

Remote
Hiring companyCNTXT AI Connect
Application processN/ANo approved reviews yet
Work experienceN/ANo approved reviews yet

About the role

Project scopes vary and may include:

You will apply senior-level Castilian Spanish localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Responsibilities

  • Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
  • LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
  • Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.
  • Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

Required skills

  • Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.
  • Native or near-native Castilian Spanish proficiency with strong writing and editing skills.
  • Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.
  • Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
  • Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
  • Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
  • Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
  • Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred skills

  • Professional localization or translation experience.
  • Previous experience with AI data training, annotation, or evaluation.
  • Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
  • Familiarity with CAT tools and QA workflows.

Eligibility

Work arrangement: Fully remote

More about the hiring companyCNTXT AI Connect
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