Wolof Language Specialist

Agency

United States

Remote

USD 45,000 - 65,000

Full time

14 days+

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Job summary

Agency is seeking a language data annotator to review and annotate Wolof content, and to assess AI-generated outputs for accuracy and fluency. The role focuses on creating high-quality training data to improve large-scale language models and ensure culturally appropriate results.

You'll document error patterns, provide expert feedback on grammar, syntax, semantics, and style, and collaborate with engineers to refine prompts, evaluation methods, and linguistic guidelines.

Qualifications

  • Fluency in Wolof.
  • Experience in translation, linguistics, language teaching, editing, or related professional work.
  • Clear communication skills.
  • Strong attention to detail and cultural knowledge.

Responsibilities

  • Review and annotate Wolof content
  • Assess AI-generated outputs for accuracy and fluency
  • Identify and document error patterns
  • Collaborate with the team to refine prompts, evaluation methods, and linguistic guidelines
  • Provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness

Skills

Fluency in Wolof
Translation experience
Linguistics background
Editing skills
Clear communication
Attention to detail
Cultural knowledge

Job description

Responsibilities
  • Review and annotate Wolof content
  • Assess AI-generated outputs for accuracy and fluency
  • Identify and document error patterns
  • Collaborate with the team to refine prompts, evaluation methods, and linguistic guidelines
  • Provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness
Requirements
  • Fluency in Wolof
  • Demonstrated experience in translation, linguistics, language teaching, editing, or related professional work
  • Clear communication skills
  • Strong attention to detail and cultural knowledge
Preferred Qualifications
  • Experience in training, coaching, or linguistic annotation
About the Company

This project focuses on developing high-quality training data to help large-scale language models deliver more natural, accurate, and contextually rich Wolof experiences.

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