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Albanian Bilingual Expert

Typical $25–55/hr Worldwide Remote · worldwide expert Contract / freelance
Pay rate · Typical $25–55/hr
Typical hourly range for this type of role — the exact rate is confirmed by the hiring company.
  • Job Description
  • Albanian Bilingual Expert
  • Part time
  • Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

  • Transcribe Albanian-language video content with meticulous attention to accuracy and clarity.
  • Clearly outline and annotate precise timestamps for dialogue and scene changes.
  • Analyze and describe the emotional tone and intent of speakers, capturing subtleties and mood shifts.
  • Conduct advanced grammar, syntax, and tone analysis to ensure linguistic fidelity.
  • Define and explain the conceptual meaning of words and idiomatic expressions within context.
  • Collaborate with the customer's team to deliver insightful linguistic feedback and suggestions for improvement.
  • Consistently meet complex language task requirements, adhering to a minimum commitment of 15 hours per week.

Required Skills and Qualifications

  • Native or near-native proficiency in both Albanian and English languages.
  • Exceptional written and verbal communication skills, with a keen eye for linguistic detail.
  • Proven experience in transcription, translation, or language analysis.
  • Strong understanding of Albanian and English grammar, syntax, and cultural context.
  • Ability to identify, articulate, and describe speaker emotion and content tone.
  • Technological proficiency and comfort working with digital content and collaborative platforms.
  • High level of self-motivation and commitment to delivering quality work independently.

Preferred Qualifications

  • Degree in Linguistics, Philology, Translation Studies, or related field.
  • Experience with linguistic annotation or corpus analysis tools.
  • Background in educational, research, or media translation projects.
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