NLP - AI Annotator (Gen AI, Prompt Writer)

text data labeling, model evaluation, and prompt engineering

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.