Mariana Z.

I work with AI data annotation and LLM training, focusing on accuracy, consistency, and quality. I currently collaborate with Innodata, where my work includes labeling and validating data, reviewing model outputs, and following detailed annotation guidelines across different types of tasks. Most of my day-to-day work involves text classification, content tagging, quality checks, and evaluating AI responses based on specific criteria. I’m used to working with large volumes of data and understand how important attention to detail and consistency are in this type of work. I’m comfortable handling repetitive tasks, edge cases, and unclear examples while keeping decisions aligned with project rules. I also have a legal background, which helps a lot when tasks involve complex instructions, policy interpretation, or sensitive content. It trained me to read carefully, apply rules consistently, and justify decisions when needed. I’m reliable, organized, and comfortable working on both short tasks and long-term projects. If you need someone who follows guidelines closely and delivers clean, consistent work, I’d be happy to help.