Sinhala Bilingual Expert

Summary

Join our customer’s team as a Sinhala Bilingual Expert to play a pivotal role in advanced linguistic analysis and communication. You will leverage your fluency in Sinhala and English to transcribe video content, provide in-depth language insights, and contribute to projects that demand cultural and linguistic expertise. If you have a passion for language and thrive in collaborative, intellectually stimulating environments, we would love to connect with you.

Day-to-day

• Transcribe videos in Sinhala and English, accurately capturing dialogue and time-stamping key moments.
• Analyze speakers’ tone, expressiveness, and emotionality to provide nuanced descriptions.
• Break down grammatical structures and provide detailed explanations of language usage.
• Define and contextualize complex words and phrases within transcripts.
• Undertake advanced bilingual language tasks, ensuring high standards of quality and precision.
• Collaborate with the customer’s team to deliver linguistic insights that support project objectives.
• Maintain meticulous documentation and contribute to process improvements in content evaluation.
• Required Skills and

You bring

• Native or near-native fluency in both Sinhala and English, with exceptional written and verbal communication skills.
• Demonstrated expertise in transcription, including the ability to accurately outline timestamps.
• Strong analytical abilities to assess grammar, tone, and emotional content.
• Deep cultural understanding of Sinhala- and English-speaking communities.
• Attention to detail and organizational skills suitable for complex language projects.
• Commitment to a minimum of 15 hours per week, with the flexibility to accommodate project needs.
• Proficiency with digital collaboration tools and a remote work environment.
• Preferred

You bring

• Experience in linguistic research, language teaching, or advanced translation projects.
• Background in media transcription or discourse analysis.
• Ability to provide constructive feedback to improve team-wide linguistic output.