AI Trainer – LLM Annotation & Evaluation

As an AI Trainer specializing in LLM annotation and evaluation, you will be responsible for annotating, reviewing, and scoring large language model outputs focused on STEM reasoning, coding logic, and multiple-choice question evaluation . You will ensure high-quality training data and accurate model assessment, directly supporting the improvement of AI agents’ technical reasoning and coding capabilities.

About You

Education & Background

• Diploma or above in a STEM-related field
• Preferred majors: Computer Science, Software Engineering, Information Technology, Electronic Engineering, Mathematics, Statistics, Data Science, Artificial Intelligence, or equivalent professional certifications.

Core Competencies

• Basic proficiency in Python syntax : able to independently read and understand pseudocode and Python code snippets, trace execution results, judge logical correctness, and accurately ...