AI Conversation Research & Evaluation Specialist

About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities • Review AI conversations involving real-world interpersonal situations and everyday decision-making. • Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. • Evaluate whether gathering additional information would materially change an AI-generated recommendation. • Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. • Conduct qualitative reviews and document findings using structured evaluation guidelines. • Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. • Identify missed opportunities for clarification, deeper understanding, and information gathering. • Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. • Collaborate with research teams to ensure consistent, evidence-based assessments. • Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines.