Darum lohnt es sich
Work Mode: Remote
Engagement Type: Independent Contractor
Schedule: Full-Time or Part-Time Contract
Language Requirement: Fluent English
Role
Partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems.
These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.
In engineering-related contexts, conversational AI systems must demonstrate accurate applied reasoning, quantitative precision, and practical problem-solving aligned with real-world systems. This project focuses on evaluating and improving how models reason about and explain engineering concepts across multiple disciplines.
What You’ll Do
Write and refine prompts to guide model behavior in engineering scenarios Evaluate LLM-generated responses to engineering-related queries for technical accuracy, applied reasoning, and completeness Conduct fact-checking and verify any technical claims using authoritative public sources and domain knowledge Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess clarity, structure, and appropriateness of explanations for differ
