Team Lead - Gen AI Data Annotator

3 - 7 years

0 Lacs

Posted:3 weeks ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Team Lead - Gen AI Annotator based in Chennai, your role involves working on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your contribution will play a vital role in improving AI applications such as chatbots, content generation, machine translation, summarization, and more. **Key Responsibilities:** - Annotate and label text data for various NLP tasks including entity recognition, sentiment analysis, and summarization. - Evaluate AI-generated responses for relevance, accuracy, and coherence. - Design and refine prompts to enhance the performance of generative AI models like LLMs, chatbots, and creative writing AI. - Analyze AI outputs and provide structured feedback to improve model accuracy. - Conduct quality assurance by reviewing and refining existing annotations and prompts. - Collaborate with AI researchers, data scientists, and engineers to enhance AI-generated text. - Follow detailed annotation guidelines while applying critical thinking and linguistic expertise to resolve ambiguities. **Qualifications Required:** - Fluency in English (written and spoken) with strong grammar, comprehension, and analytical skills. - Experience with generative AI models such as ChatGPT, Claude, Gemini, LLaMA, etc., and an understanding of prompt engineering is preferred. - Critical thinking and problem-solving abilities to assess AI-generated content for accuracy and bias. - Prior experience in NLP annotation, content moderation, linguistics, or AI-related projects is a plus but not required. - Attention to detail with the ability to recognize and correct AI model inconsistencies. - Familiarity with annotation tools and interest in working with AI-driven platforms is preferred. - A Bachelor's degree in Linguistics, English, Literature, Communications, Computer Science, AI, or a related field is preferred.,

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