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Voice Process Jobs in Toronto, ON (NOW HIRING)

Senior Software Engineer, Inference

Toronto, ON ยท On-site

CA$190K - CA$225K/yr

Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we're looking for folks ...

... the Voice & Messaging pillar of Clio's Unified Communications initiative, which brings voice ... Own the complete sales process end to end - qualification, discovery, demo, business case, proposal ...

Sr. Copywriter

Toronto, ON ยท On-site +1

Our team is supported by custom-built AI teammates that act as thinking partners, process ... Maintain a cohesive brand voice across extended narratives while adapting tone and depth depending ...

Working across voice, chat, and email channels, this engineer will deliver autonomous agent ... Advanced knowledge proficiency in intelligent automation, process automation, and deployment ...

Showing results 21-40

Voice Process information

See Toronto, ON salary details

$1.1K

$7K

$12.9K

How much do voice process jobs pay per month?

As of Sep 6, 2026, the average monthly pay for voice process in Toronto, ON is $7,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $3,459.42 and $9,583.08 per month, depending on experience, location, and employer.

What is a voice process?

A Voice Process job typically involves handling customer interactions over the phone, either for customer support, sales, or technical assistance. Employees in this role communicate directly with customers to resolve issues, provide information, or process requests. This role is common in call centers and requires strong communication skills, patience, and the ability to think quickly. Voice Process jobs can be inbound (receiving calls) or outbound (making calls), depending on the company's needs. Fluency in the required language and basic computer skills are usually essential.

What are the key skills and qualifications needed to thrive in a voice process role?

To thrive in a Voice Process role, you need excellent verbal communication skills, active listening abilities, and at least a high school diploma or equivalent qualification. Familiarity with customer relationship management (CRM) software, call center telephony systems, and sometimes language proficiency certifications are commonly required. Patience, problem-solving, and a customer-centric attitude are standout soft skills for this position. These skills are crucial for effectively resolving customer issues, ensuring customer satisfaction, and maintaining professionalism in high-pressure environments.

What are some common challenges faced in a voice process role, and how can I prepare for them?

One of the most common challenges in a Voice Process role is managing high call volumes while maintaining excellent customer service and meeting performance targets. You may also encounter difficult customers or need to quickly learn and adapt to new scripts and products. To prepare, focus on developing strong communication and active listening skills, practice staying calm under pressure, and familiarize yourself with common CRM tools. Regular feedback and training are typically provided to help you continuously improve and succeed in this fast-paced environment.

What is the difference between Voice Process vs Customer Support Executive?

AspectVoice ProcessCustomer Support Executive
Primary RoleHandling inbound/outbound calls, resolving customer queriesAssisting customers via calls, emails, or chats, providing solutions
Required SkillsCommunication skills, patience, problem-solvingCommunication skills, product knowledge, empathy
Work EnvironmentCall centers, BPO companiesCall centers, BPOs, customer service departments
CertificationsNot mandatory but preferred certifications in communicationNot mandatory but preferred certifications in communication

Both Voice Process and Customer Support Executive roles involve communication with customers, often in call center environments. While they share similar skills and work settings, Voice Process typically emphasizes handling calls directly related to sales or support, whereas Customer Support Executive may also include email and chat support. Understanding these differences helps job seekers choose the right role based on their skills and preferences.

What job categories do people searching Voice Process jobs in Toronto, ON look for?

The top searched job categories for Voice Process jobs in Toronto, ON are:

Infographic showing various Voice Process job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $84,264 per year, or $40.5 per hour.

Senior Software Engineer, Inference

AssemblyAI

Toronto, ON โ€ข On-site

CA$190K - CA$225K/yr

Full-time

Posted 8 days ago


Job description

Why AssemblyAI

AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we're looking for folks truly excited to join a small team and help define the future of the industry.

We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $500K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything.

If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build,  this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name.

We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!

About the role:

We're hiring a Software Engineer to help turn cutting-edge AI research into products our customers rely on every day. You'll sit on a fast-paced engineering team between our research org and our Applied teams, taking new model capabilities from proof of concept to robust, well-documented APIs serving production traffic at scale.

What You'll Do:
  • Design and ship customer-facing APIs that expose new model capabilities, owning them from prototype through launch and ongoing iteration.
  • Scale inference infrastructure to support our 1M+ api users
  • Partner with researchers to productionize new techniques. For example, turning a notebook or POC into something with the latency, reliability, and ergonomics customers expect.
  • Work with our customers and Applied teams to understand how users are building with our products, and feed that back into product design and research direction.
  • Contribute across the stack as needed: backend services, inference infrastructure, SDKs, internal tooling.
What You'll Need:
  • Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production.
  • Comfort operating with ambiguity. Research timelines and product timelines don't always line up, and you're energized rather than frustrated by that.
  • Genuine curiosity about AI/ML. You don't need to be a researcher, but you should want to understand what the models are doing well enough to make good engineering decisions around them.
  • Strong collaboration skills. You'll be working daily with researchers, applied engineers, and sometimes customers, people with very different contexts and priorities, and the role only works if you enjoy that.

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range: $190,000 - $225,000

AI to Interview:

If you're selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process.

GDPR privacy notice:

Candidates from the EU should review this job applicant privacy notice before applying. 

Keep Exploring AssemblyAI:

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