Mixed-Method Research Specialist II ( Canada Remote Only )

CaptionCall by Sorenson•, BC

6d•Remote

About The Position

As a Mixed-Methods Research Specialist II, you will shape our AI-powered sign language products, from conception to how they learn from the real world — connecting user experience, behavioral data, and model evaluation into a unified learning system. Your work will directly influence product decisions, model quality, and user trust for Deaf and Hard-of-hearing communities. This position designs, implements, and manages research projects that integrate both qualitative and quantitative methodologies. This role involves collecting, analyzing, and interpreting complex data to provide comprehensive insights.

Requirements

6 Years of applied research experience in product or technology environments with a strong background in qualitative research (moderated + unmoderated), survey design and analysis, and basic behavioral or product analytics
Ability to work across methods and select the right approach for the problem at hand
Experience developing and working with product and experience metrics
Comfort building lightweight measurement systems (tracking, dashboards, reporting)
Strong storytelling and communication skills
Curious, collaborative, structured, and action-oriented
Comfortable working in ambiguity and early-stage environments
Focused on impact — not just output
Experience working with communities where trust and cultural sensitivity matter
Strong commitment to inclusive and ethical research practices

Nice To Haves

ASL proficiency is a strong plus, but not required; if not fluent, must demonstrate strong judgment in working with interpreters and ensure full communication access in all research activities

Responsibilities

Translate ambiguous product and model questions into clear, actionable research plans — spanning discovery, concept testing, and experience evaluation
Design and execute end-to-end mixed-methods research across multiple AI product workstreams
Study how Deaf users experience communication across real contexts using both moderated and unmoderated methods
Partner cross-functionally to define what "good" looks like — contributing to evolving frameworks for measuring interpretation quality and communication effectiveness
Design surveys and experience metrics that can be tracked over time and establish recurring reporting that accumulates learning, not one-off studies
Define behavioral signals and instrumentation requirements in partnership with Product and Engineering
Maintain research practices that are respectful, transparent, and meaningful to participants
Communicate findings clearly through focused, decision-driving deliverables
Set up feedback systems and tracking cadence for newly launched features; ensure insights continuously inform product and model decisions
Other duties as assigned