Remote Fulah Language Specialist for AI Training

Jobgether; Ireland; Remote; EUR 48.000 - 80.000; Vollzeit

Benefits dieser Stelle

Fully remote work

Freelance contract

Global project scope

Contribution to AI technology

Contractor position (no traditional DB

Zusammenfassung

Jobgether is partnering with a client to recruit a Fulah Language Specialist for a fully remote freelance AI training project based in Ireland. You will evaluate and refine Fulah-language content used in AI datasets, ensuring accurate grammar, semantics, and cultural appropriateness across model outputs.

The role focuses on reviewing, annotating, and providing actionable feedback to improve language model quality.

Aufgaben

• Review, annotate, and refine Fulah-language text used in AI training and evaluation datasets.
• Evaluate AI-generated responses for grammatical accuracy, fluency, syntax, semantics, tone, style, and overall linguistic quality.
• Assess whether generated content reflects appropriate cultural context and authentic Fulah language usage.
• Identify, categorize, and document recurring linguistic errors, inconsistencies, and patterns in model outputs.
• Provide clear, detailed feedback to improve language model accuracy, naturalness, and contextual understanding.
• Collaborate with project teams to refine prompts, evaluation methodologies, annotation practices, and linguistic guidelines.
• Apply professional judgment to distinguish accurate, natural language from awkward, misleading, or culturally inappropriate outputs.
• Maintain consistent quality standards and follow project-specific instructions when reviewing and annotating language data.
• Contribute linguistic insights that help improve AI applications in education, accessibility, communication, and other language-related use cases.

Jobbeschreibung

Jobgether is partnering with a client to recruit a Fulah Language Specialist for a fully remote freelance AI training project based in Ireland. You will evaluate and refine Fulah-language content used in AI datasets, ensuring accurate grammar, semantics, and cultural appropriateness across model outputs.

The role focuses on reviewing, annotating, and providing actionable feedback to improve language model quality.