Your roleAs an AI Evaluation Engineer, you'll be an integral part of our AI Evaluation team, owning evaluation coverage for Dialpad's Agentic AI systems alongside our existing evaluation lead. A key focus will be co-owning LLM-judge metric development and calibration, scenario and benchmark dataset curation, and structured error analysis to support release-readiness decisions for our agentic voice and chat solutions.
This position reports to the manager of the AI Evaluation team and has the opportunity to be based in our Vancouver office.
What you'll do - You will design and execute validation strategies for agentic, NLP, and speech workflows across staging, beta, and release candidates.
- You will build, run, and improve regression evaluations, A/B comparisons, and red teaming analyses to determine whether product and model changes are ready to move forward.
- You will co-own LLM-judge metric development, calibration, and prompt refinement across evaluation dimensions.
- You will create, configure, and monitor data annotation jobs to keep evaluation and calibration datasets fed on schedule.
- You will develop and maintain QA tooling, notebooks, and pipeline components that make recurring evaluations scalable and reusable across teams.
- You will investigate bugs, triage issues, and decide whether problems should become engineering escalations, test set additions, or follow-up analysis.
- You will collaborate with cross-functional teams, including applied science, engineering, and Product QA.
Skills you'll bring- Bachelor's or Master's degree in Computer Science, Software Engineering, Computational Linguistics, or a related field.
- 3+ years of experience in QA, test engineering, model evaluation, or applied ML quality for AI-driven products.
- Experience designing structured test strategies across manual and automated workflows.
- Comfort working with complex AI systems such as speech, NLP, LLM, or agentic products.
- Experience working with evaluation datasets, gold sets, adversarial test sets, or benchmark creation for AI systems.
- Strong analytical skills for investigating failures, comparing outputs, and identifying actionable quality patterns.
- Experience collaborating with cross-functional technical teams and communicating clearly through documentation and reporting.
For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.
British Columbia, Canada Salary Range
$115,500-$132,750 CAD
Why Join Dialpad- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee's impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply.
