AI Trainer
Own and optimize an enterprise customer-support AI agent by improving prompts, conversational quality, guardrails, intent recognition, and performance. The role requires deep conversational AI experience, strong analytical skills, platform expertise, and strategic collaboration across support teams.
About the job
Responsibilities
- Own the AI agent’s conversational quality, tone, content, and ethical guardrails.
- Develop, test, and deploy prompt-engineering techniques, training materials, and conversational flows.
- Monitor and analyze deflection, resolution, and CSAT metrics to create training and optimization plans.
- Review high-volume conversations to identify customer intents, misclassifications, and knowledge-base gaps.
- Collaborate with Content, Knowledge, and Customer Experience teams on strategic AI training plans.
- Update conversation scripts for product and policy changes, and report bugs, system gaps, and escalation opportunities.
- Track conversational AI, machine learning, and prompt-engineering trends and propose improvements.
Requirements
- Proven experience in AI training, prompt engineering, NLP, or conversational design for customer support or enterprise service systems.
- Strong analytical skills for interpreting conversational data and performance metrics.
- Familiarity with Dialogflow, IBM Watson, Rasa, or similar enterprise conversational AI platforms.
- Excellent written communication and attention to detail.
- Understanding of online customer support ecosystems and bot-to-human-agent handoffs.
- Independent, proactive, strategic problem-solving approach.
Compensation and Benefits
- Annual base salary: $124,000–$186,000 CAD.
- Equity, bonus, health, dental, and vision insurance, RRSP matching, healthcare spending, telemedicine, and paid leave, including PTO and parental leave.
Skills
Prompt Engineering, Natural Language Processing, Conversational AI, Conversational Design, Dialogflow, Ibm Watson, Rasa, Machine Learning, Analytics, Customer Support Systems
Similar jobs
AI Research jobs
AI Digest
Remote
Conduct research on long-horizon, multi-agent AI behavior by designing agent environments, analyzing large-scale data, and running experiments. The role requires strong research judgment, rapid execution, independence, and familiarity with current AI developments.
AI Digest
Remote
Build, optimize, and evaluate long-running and multi-agent AI systems, along with tools for monitoring and analyzing their real-world behavior. The role requires software engineering experience with coding agents, strong independence, and familiarity with current AI developments.
Improbable
Remote
Conduct applied research on AI agents, designing experiments and evaluation systems to improve reliability, context retention, and multi-step task completion. The role requires strong AI/ML research, engineering, experimental design, and communication skills.
Vanta
Remote
Build Vanta’s organizational intelligence layer by shipping prototypes, internal tools, and AI agent workflows that make cross-source data useful to EPD, GTM, and other teams. The role requires recent hands-on LLM product work, independent problem scoping, and strong judgment around AI quality, reliability, cost, and latency.
PointClickCare
Mississauga, Canada
The Principal AI Engineer architects enterprise-grade AI/ML platforms and GenAI infrastructure, establishing standards for agentic systems, RAG, model serving, observability, security, and multi-cloud deployment. The role requires 8+ years in cloud architecture and platform engineering, including substantial AI/ML infrastructure experience.