Design and refine high-quality prompts to optimize conversational structure, tone, and logic for AI agents.

Utilize large-scale datasets to annotate for emotional intelligence and coherence, directly apprising Reinforcement Learning from Human Feedback (RLHF) to improve agent efficacy.

Apply the MITI behavior coding system to trace model responses on to specific personas, securing consistent adherence to “guidance rules” and voice.

Collaborate with engineering and product teams to analyze the quality of conversation metrics and delivery analytics, identifying gaps in the accuracy of automated responses.

via TEKsystems.

Execute structured red teaming (adversarial testing) to identify behavioral edge cases, safety gaps, and failures in agent responses.

Design complex character-based chat scenarios to evaluate model handling of ethical boundaries and crisis escalation.

Develop evaluation taxonomies and psychometric frameworks that align AI behaviors with best practice and safety standards.

Report model breakdowns for informed fine-tuning methods and safety metrics, encouraging reliable execution in high-acuity interactions.