Job
Description
Role Overview: As an NLP & Generative AI Annotator, you will focus on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of NLP and Generative AI models. Your contributions will play a crucial role in advancing AI applications such as chatbots, content generation, machine translation, and summarization. Key Responsibilities: - Annotate and label text data for various NLP tasks including entity recognition, sentiment analysis, and summarization. - Evaluate AI-generated responses to ensure 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 offer 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. - Adhere to detailed annotation guidelines while utilizing critical thinking and linguistic expertise to resolve ambiguities. Qualification Required: - Fluency in English (written and spoken) with strong grammar, comprehension, and analytical skills. - Preferably experienced with generative AI models such as ChatGPT, Claude, Gemini, LLaMA, and understanding of prompt engineering. - Possess critical thinking and problem-solving abilities to assess AI-generated content for accuracy and bias. - Previous experience in NLP annotation, content moderation, linguistics, or AI-related projects is advantageous. - Attention to detail to identify and rectify AI model inconsistencies. - Familiarity with annotation tools and interest in working with AI-driven platforms is desirable. - A Bachelor's degree in Linguistics, English, Literature, Communications, Computer Science, AI, or a related field is preferred. Role Overview: As an NLP & Generative AI Annotator, you will focus on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of NLP and Generative AI models. Your contributions will play a crucial role in advancing AI applications such as chatbots, content generation, machine translation, and summarization. Key Responsibilities: - Annotate and label text data for various NLP tasks including entity recognition, sentiment analysis, and summarization. - Evaluate AI-generated responses to ensure 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 offer 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. - Adhere to detailed annotation guidelines while utilizing critical thinking and linguistic expertise to resolve ambiguities. Qualification Required: - Fluency in English (written and spoken) with strong grammar, comprehension, and analytical skills. - Preferably experienced with generative AI models such as ChatGPT, Claude, Gemini, LLaMA, and understanding of prompt engineering. - Possess critical thinking and problem-solving abilities to assess AI-generated content for accuracy and bias. - Previous experience in NLP annotation, content moderation, linguistics, or AI-related projects is advantageous. - Attention to detail to identify and rectify AI model inconsistencies. - Familiarity with annotation tools and interest in working with AI-driven platforms is desirable. - A Bachelor's degree in Linguistics, English, Literature, Communications, Computer Science, AI, or a related field is preferred.
