[Remote] Frontend JavaScript Developer- Ai Training

Descrição da Vaga

Requisitos

• You hold a BS, MS, or PhD in Computer Science or a closely related field
• You have significant real-world experience in software engineering or related technical roles
• You are an expert in at least one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust)
• You are able to solve HackerRank or LeetCode Medium and Hard-level problems independently
• You have experience contributing to well-known open-source projects, including merged pull requests
• You have significant experience using LLMs while coding and understand their strengths and failure modes
• You have strong attention to detail and are comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws
• Prior experience with RLHF, model evaluation, or data annotation work
• Track record in competitive programming
• Experience reviewing code in production environments
• Familiarity with multiple programming paradigms or ecosystems
• Experience explaining complex technical concepts to non-expert audiences

Responsabilidades

• YO IT Consulting partners with leading AI teams to enhance conversational AI systems
• The role involves evaluating AI-generated responses in coding contexts to ensure accuracy and clarity, as well as conducting thorough assessments of code quality and reasoning
• Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness
• Conduct fact-checking using trusted public sources and authoritative references
• Conduct accuracy testing by executing code and validating outputs using appropriate tools
• Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies
• Assess code quality, readability, algorithmic soundness, and explanation quality
• Ensure model responses align with expected conversational behavior and system guidelines
• Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines