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60 Voice Natural Language Processing Engineer Jobs Hiring Near You

$150 - $190/hr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist ... Collaborate with engineering teams to integrate research prototypes into production systems. * Stay ...

Familiarity with AI workflows, natural language processing (NLP) pipelines, API integrations, and prompt engineering. * Domain Knowledge: Understanding of voice interface design, conversational flow ...

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Infographic showing various Natural Language Processing Engineer job openings at Voice in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Physical job distribution.

QE Lead (Voice/Natural Language Processing)

Epsilon Solutions LTD

Toronto, ON • On-site

Full-time

Re-posted 25 days ago


Job description

Role Name: QE Lead (Voice/Natural Language Processing)
Location: Toronto 4 days a week
Duration: Contract
JOB DESCRIPTION:
"Key Responsibilities
Lead quality engineering efforts for a complex cloud migration project.
Define and implement testing strategies for IVR systems and natural language processing components.
Drive automation initiatives and ensure robust CI/CD integration.
Collaborate with cross-functional teams to align on project goals, timelines, and quality standards.
Communicate effectively with technical and non-technical stakeholders.
Ensure adherence to Agile/Scrum methodologies throughout the project lifecycle.
Required Qualifications
QE Leadership: Proven experience leading QE teams on large-scale migration or cloud-based projects.
Cloud & IVR Expertise: Familiarity with cloud platforms (AWS, Azure, GCP) including testing strategies for voice and natural language processing
Automation Skills: Hands-on experience with tools like Selenium, Cypress, Postman; strong understanding of CI/CD pipelines.
Technical Background: Degree in Computer Science, Software Engineering, or related field.
Communication: Excellent verbal and written communication skills.
Problem-Solving: Ability to navigate challenges and deliver innovative solutions in dynamic environments.
Agile Experience: Proficiency in Agile/Scrum methodologies.
Nice-to-Have:
Exposure to banking or financial services domain