ABOUT THE COMPANY
QARL is an early-stage startup building next-generation interactive AI-powered digital humans. Our mission is to reinvent how people engage with AI through fun, interactive video agents. Founded in 2024, we're a small but mighty team led by serial entrepreneur and 3X exited founder
Paul Kruszewski
. Supported by leading partners including Google and AWS, we're moving fast and pushing boundaries to define the future of human-machine interaction.
OPPORTUNITY
In this 1-month contract role, you'll dive deep into researching, evaluating, and benchmarking state-of-the-art Speech-to-Text (STT) solutions for our AI-based voice agent pipeline. This is a rare opportunity to work on bleeding-edge technology alongside experienced leadership and a top-notch technical team. This position has the potential to extend to a full-time position for the right candidate.
JOB DESCRIPTION
Primary responsibilities
:
• Lead a focused 1-month project to research and evaluate open-source and commercial-friendly STT algorithms as alternatives to our current implementation.
• Design and implement standalone test harnesses and benchmarking pipelines for candidate STT systems.
• Evaluate candidates across key criteria: transcription accuracy (word error rate), latency, streaming support, hallucination robustness, noise robustness, and multi-language support.
• Document findings and deliver a comprehensive recommendation report to facilitate decision-making.
• Provide technical support to development team members in integrating the selected solution.
Education level
:
• Doctorate (Ph.D.) in Computer Science or related fields. Preferably with a track record of research in speech processing and generative AI.
The ideal candidate will have hands-on experience with:
• Speech-to-Text systems and evaluation methodologies (WER, latency benchmarking).
• Python and ML frameworks (PyTorch, TensorFlow).
• Virtualization and containerization (Docker, Kubernetes, etc.).
• Cloud computing (AWS, GCP, Azure).
BENEFITS
• Competitive compensation package,
with the possibility of converting to full-time employment with stock options, health benefits, and more.
• Fully in-person work culture (no remote work) with office downtown Montreal with lunch provided on Tuesdays
• Stipends applicable towards continuous learning and subscriptions to Anthropic Claude AI.
• Work with one of the world's best teams in artificial emotional intelligent and digital humans.
