Bengali Content Writer/Editor - Remote

Job Title: Bengali Content Writer/Editor

Job Type: Contract

Location: 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:

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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.
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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.
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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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