Content Writers For AI/LLM Project Ubique Systems
Ubique Systems
Office Location
Full Time
Experience: 0 - 0 years required
Pay:
Salary Information not included
Type: Full Time
Location: All India
Skills: Content Writing, Analytical skills, Communication skills, Visual, logical reasoning, Machine learning models, ProblemSolving Skills, Attention to Detail, Collaboration Skills
About Ubique Systems
Job Description
As an Analyst on our AI Large Language Models (LLMs) team, you will be part of a diverse global team with expertise in various disciplines. You will have a range of responsibilities and we are looking for self-motivated individuals who can keep up with the pace of innovation. We are eager to train you in harnessing the potential of generative AI. What we require from you: - Hold a Master's / M.Phil / Ph.D. degree in Literature, Linguistics, Communication, Creative Writing, Philosophy, Psychology, Sociology, Journalism, Economics, Political Science, History, or related fields. - Proficiency at C1 level in English. - Experience in content writing related to the subject matter. - Strong grasp of visual and logical reasoning concepts. - Familiarity with machine learning models, especially Language Learning Models (LLMs). - Excellent analytical and problem-solving abilities. - Attention to detail and proficiency in handling complex, multi-step problem-solving scenarios. - Technical skills to engage with LLMs and interpret their outputs effectively. - Effective communication and collaboration skills. Role and Responsibilities: - Develop training data sets for AI models to enhance accuracy, fluency, coherence, and voice. - Annotate data to align AI models with human values. - Analyze and enhance grammar, syntax, and sentence structure of expert-generated training data and AI-generated text to ensure linguistic adherence. - Collaborate closely with cross-functional teams like data scientists, researchers, and software engineers to refine data sets. - Contribute to evolving specifications for AI model training and data recipes. - Adapt to evolving guidelines and priorities in a dynamic environment. - Meet set KPIs, including daily job count and average handle time per job, within specific data production timelines.,