LLM Evaluator – Model Response Analyst

About the role

We are looking for a detail‑oriented LLM Evaluator to assess and improve the performance of large language models. You will work remotely with a global team, analyzing AI‑generated content for accuracy, safety, bias, and alignment with our guidelines.

Key responsibilities

• Evaluate and rank model‑generated text using complex rubrics covering factuality, coherence, safety, instruction‑following, and creativity.
• Compare multiple model responses to the same prompt and justify the preferred output.
• Provide concise feedback to modeling and training teams on recurring failure patterns.
• Design adversarial prompts to expose biased, harmful, or insecure model behavior.
• Collaborate with QA to refine evaluation guidelines and calibrate scoring across evaluators.
• Investigate underperforming outputs, hypothesize root causes, and flag novel model behaviors.

Required profile

• Minimum 2 years of professional experience in computational linguistics, data analysis, technical writing, NLP QA, or cognitive science.
• Bachelor’s degree in Computer Science or a related field.
• Strong ability to craft prompts that elicit specific model behaviors.
• Experience with Reinforcement Learning from Human Feedback (RLHF) data collection.
• Proven track record of maintaining consistency and calibration across evaluation teams.
• Understanding of data distribution, A/B testing, and experimental design for model comparison.

Required skills

• Prompt engineering
• RLHF data collection
• Dataset sourcing, cleaning, and annotation
• A/B testing
• Experiment design and analysis

What we offer

• Fully remote work with flexible hours
• Opportunity to influence cutting‑edge AI research
• Collaboration with an international, interdisciplinary team