YO IT Consulting
Bengali Language Expert - Remote
Skills
4 months ago
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Important information
Contract type:
Permanent
Location:
Siliguri, West Bengal, India
Work mode:
Remote
Published on:
14 August 2026
What they need
Job Title: Bengali Language Expert Job Type: Contractor
Location: Remote
Role Description
In this hourly, remote contractor role, you will work as a Bengali Language Specialist to review AI-generated Bengali content and/or create high-quality Bengali reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Bengali writing; and rate and compare multiple AI responses based on correctness and overall quality. This role is a fast-growing AI Data Services company, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Bengali expertise directly helps improve the world’s premier AI models by making their Bengali language output more natural, reliable, culturally accurate, and clearly written. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Key Responsibilities
- Develop AI Training Content: Create prompts and gold-standard Bengali answers across multiple domains (general knowledge, customer support, education, conversational writing).
- Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness.
- Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases.
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