Growth Hacker
Job Description
Job Title: Bengali Language expert
Job Type: Contractor
Location: Remote
Job Summary:
Join our customer team as a Bengali Language expert, where your deep understanding of the Bengali language will help shape advanced AI systems. Play a critical role in the development of language technologies by applying your expertise in editing, translation, communication, and localization for impactful digital solutions.
Key Responsibilities:
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Translate, edit, and localize a variety of digital content from English to Bengali and vice versa, ensuring cultural and linguistic accuracy.
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Collaborate with AI trainers to develop, review, and refine Bengali language data for advanced machine learning models.
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Conduct quality checks, proofreading, and validation of Bengali language outputs to uphold high-quality standards.
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Utilize digital tools and platforms to annotate, tag, and organize linguistic data efficiently.
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Provide insightful feedback to enhance written and verbal communication in Bengali, supporting AI-related projects.
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Contribute to the adaptation of global content and products for Bengali-speaking audiences through nuanced localization strategies.
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Work closely with cross-functional teams to ensure project goals align with local language requirements.
Required Skills and Qualifications:
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Native-level proficiency in written and spoken Bengali, with excellent command of grammar, syntax, and style.
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Strong experience in editing and translating digital content between Bengali and English.
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Exceptional written and verbal communication skills, demonstrating attention to detail and cultural sensitivity.
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Familiarity with digital tools and language technology platforms.
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Proven ability to localize content, adapting for different Bengali-speaking regions as needed.
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Experience working in fast-paced, tech-driven environments.
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Ability to work independently and collaboratively in a remote setting.
Preferred Qualifications:
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Previous experience as a language expert or AI trainer, especially in the context of Bengali language projects.
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Background in linguistics, computational linguistics, or a related field.
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Experience with natural language processing (NLP) tools or methodologies.
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