LLM Trainer - Agent Function Call
Design and craft multi-turn conversational datasets to improve AI agent reasoning, function calling accuracy, and real-world interaction capabilities.
up to $65/hr
Remote red-teaming role focused on probing AI systems for vulnerabilities, misalignment, and safety issues. Help design and execute adversarial prompts and edge cases to improve AI robustness.
Mindrift hasn't published a full description for this project outside its application flow. Pay, commitment, and eligibility are listed above; the complete brief appears once you open the application.
Sourced from Mindrift · original listing · application link last checked 31 Aug 2026
Design and craft multi-turn conversational datasets to improve AI agent reasoning, function calling accuracy, and real-world interaction capabilities.
Evaluate AI model outputs for accuracy, safety and helpfulness across domains.
Evaluate personalization quality in AI systems using cultural and contextual understanding of Japanese user behavior.
Tell us what you know — we'll surface the AI training work that fits.