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Collection Agent Jobs in Quebec (NOW HIRING)

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

The position We're looking for an Applied AI Engineer to take our growing collection of foundation ... Build RAG and agent-style orchestration for clinical reporting and conversational interfaces * Ship ...

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Aerotek

Associ au support client

Montreal, QC · On-site

... principal agent de liaison avec le siège social pour toutes les questions liées à la ... Managing timecard audit and collection (including contacting contractors and/or clients for missing ...

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Collection Agent information

What are collection agents?

Collection agents are professionals who work on behalf of creditors to recover overdue payments from individuals or businesses. Their main responsibilities include contacting debtors, negotiating payment plans, and maintaining records of communication and payment agreements. Collection agents may work for collection agencies, financial institutions, or other organizations that manage outstanding debts. They must adhere to laws and regulations governing debt collection practices to ensure ethical and legal conduct.

What jobs pay 4000 a week without a degree?

A collection agent can potentially earn $4,000 a week through commissions and bonuses, especially with experience and high-volume accounts. These roles often require strong communication skills, persistence, and knowledge of debt collection laws, but typically do not require a college degree. High earnings are usually associated with performance-based pay in the industry.

How can I make 2000 a week working from home?

A collection agent working from home can potentially earn $2,000 weekly by handling a high volume of accounts, working overtime, or taking on multiple clients. Success depends on experience, efficiency, and the ability to negotiate payment plans, with some agents earning more through performance-based incentives and strong communication skills.

What is the difference between Collection Agent vs Debt Collector?

AspectCollection AgentDebt Collector
CredentialsHigh school diploma; sometimes additional certificationsHigh school diploma; often similar certifications
Work EnvironmentOffice settings, sometimes fieldworkPrimarily office-based, some fieldwork
Industry UsageFinancial institutions, third-party agenciesDebt collection agencies, financial institutions
Search/Comparison IntentUnderstanding roles, job requirementsSimilar roles, job differences

Collection Agents and Debt Collectors often perform similar tasks in recovering debts, with overlapping credentials and work environments. The main difference lies in their job scope and employer settings. Collection Agents may work directly for lenders or in more formal roles, while Debt Collectors are typically employed by collection agencies. Both roles require similar skills and certifications, making them closely related in the debt recovery industry.

What challenges might a Collection Agent face when trying to recover overdue payments, and how are these typically addressed within a team environment?

Collection Agents often encounter challenges such as unresponsive clients, negotiating payment arrangements, and handling difficult conversations. To address these, agencies typically provide robust training in communication and negotiation skills, as well as access to support from supervisors and experienced colleagues. Working within a team allows agents to share strategies, discuss complex cases, and receive guidance, helping them stay motivated and effective in reaching recovery targets while maintaining professionalism and compliance with regulations.

What are the key skills and qualifications needed to thrive as a Collection Agent, and why are they important?

To thrive as a Collection Agent, you need strong negotiation, communication, and problem-solving skills, often supported by a high school diploma or equivalent. Familiarity with customer relationship management (CRM) software, collections databases, and compliance regulations such as the Fair Debt Collection Practices Act (FDCPA) is typically required. Resilience, patience, and professionalism are vital soft skills for managing difficult conversations and maintaining positive customer interactions. These competencies are crucial for recovering outstanding debts efficiently while upholding legal standards and protecting the organization’s reputation.

What does a collection agent do?

A collection agent is responsible for contacting customers to recover overdue payments on loans, credit accounts, or bills. They often use phone calls, emails, or letters and may negotiate payment plans or settlements. Strong communication skills and knowledge of debt collection laws are important in this role.

What is the highest paying collection job?

The highest paying collection jobs are typically senior or managerial roles such as Collections Manager or Debt Recovery Director, which can offer salaries exceeding $70,000 annually. These positions often require extensive experience, strong negotiation skills, and knowledge of industry regulations.
What are popular job titles related to Collection Agent jobs in QC? For Collection Agent jobs in QC, the most frequently searched job titles are:
Collection Agent jobs near you
Infographic showing various Collection Agent job openings in Quebec as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Applied AI Engineer

Applied AI Engineer

Norbert Health

Montreal, QC • On-site

Full-time

Medical, Vision

Posted 4 days ago

Be an early applicant

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform enables existing robotic platforms to become care team members: rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn, Paris, and Montreal. We ship things that matter.

The position

We're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated, production-grade MLOps pipelines: deployed reliably on robots in nursing facilities. We need someone who knows the model landscape cold, treats evaluation as a first-class engineering problem, and has strong opinions about when to prompt, RAG, fine-tune, swap, or buy.

You'll work across cloud and edge deployments, and some of the systems you'll touch are on a SaMD pathway, so you'll need to be comfortable shipping under regulatory constraints.

What you'll do
  • Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation, embeddings) into our production pipelines, using both open-weight models and third-party APIs
  • Build RAG and agent-style orchestration for clinical reporting and conversational interfaces
  • Ship real-time streaming pipelines (voice agents) alongside batch and request-response workloads
  • Build evaluation harnesses that catch regressions across model swaps and measure performance against clinical-grade accuracy targets
  • Fine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet
  • Deploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge
  • Build the data flywheel: pipelines that collect, label, version, and feed production data back into model improvement
  • Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines
What we're looking for
  • BS in Computer Science, Engineering, or a related field, or equivalent hands-on experience
  • 4+ years shipping ML/AI systems in production outside of academic settings
  • Strong working knowledge of the modern foundation model landscape (open-weight LLMs and VLMs, common detection/segmentation backbones, embedding models)
  • Hands-on experience with PEFT/LoRA and supervised fine-tuning
  • Strong Python; comfortable with the deployment toolchain (ONNX, quantization, at least one inference runtimeTensorRT, vLLM, llama.cpp, etc.)
  • Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or equivalent)
  • Ability to work independently, solve complex problems, and drive projects to completion
Bonus points
  • Edge ML deployment (Jetson, ARM, mobile NPUs)
  • Real-time voice AI pipelines (STT, TTS, streaming LLM)
  • Production RAG systems beyond toy implementations
  • Medical devices, SaMD, or other regulated ML environments
  • MLOps tooling (Weights & Biases, MLflow, DVC, etc.)
  • Active learning or human-in-the-loop labeling workflows
  • C++ for integrating with our computer vision pipeline
What we offer
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownershipyou'll define how we operate AI in production
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Equity participation in the company's future
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Transparent, mission-driven culture focused on continuous learning
  • Competitive salary and equity