Annotator

Role: Senior Gen AI Annotator

Location: Chennai, Coimbatore, Karur

Work Type: On-Site

Experience: 3-5 Years

(Walk-In from 15/09/2025 - 26/09/2025) (Timing-10:00AM-5:00PM)

About Role:

As an NLP & Generative AI Annotator, you will work 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 work will contribute to improving AI applications in chatbots, content generation, machine translation, summarization, and more.

Responsibilities:

• Annotate and label text data for various NLP tasks (entity recognition, sentiment analysis, summarization, etc.).
• Evaluate AI-generated responses for relevance, accuracy, and coherence.
• Design and refine prompts to improve the performance of generative AI models (LLMs, chatbots, creative writing AI, etc.).
• Analyze AI outputs and provide structured feedback to enhance model accuracy.
• Conduct quality assurance by reviewing and refining existing annotations and prompts.
• Collaborate with AI researchers, data scientists, and engineers to improve AI-generated text.
• Follow detailed annotation guidelines while applying critical thinking and linguistic expertise to resolve ambiguities.

Requirements:

• Fluency in English (written and spoken) with strong grammar, comprehension, and analytical skills.
• Experience with generative AI models (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.
• Bachelors degree in Linguistics, English, Literature, Communications, Computer Science, AI, or a related field is preferred.