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Evaluate Large Language Model (LLM) generated responses for quality, accuracy, and adherence to conversational behavior, providing high-quality human evaluation data.
Responsibilities
- Evaluate LLM-generated responses on their ability to effectively answer user queries
- Conduct fact-checking using trusted public sources and external tools
- Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies
- Assess reasoning quality, clarity, tone, and completeness of responses
- Ensure model responses align with expected conversational behavior and system guidelines
- Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines
Requirements
- Bachelor’s degree
- Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in Brazilian Portuguese
- Significant experience using large language models (LLMs)
- Excellent writing skills
- Strong attention to detail
- Adaptable and comfortable moving across topics
- Background or experience in domains requiring structured analytical thinking
- Excellent college-level mathematics skills
Qualifications
- Bachelor’s degree
Nice to Have
- Prior experience with RLHF, model evaluation, or data annotation work
- Experience writing or editing high-quality written content
- Experience comparing multiple outputs and making fine-grained qualitative judgments
- Familiarity with evaluation rubrics, benchmarks, or quality scoring systems
Skills
Large Language Models (LLMs)
*
* Required skills
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