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Repo Agent Jobs in Missouri (NOW HIRING)

Repo Agent information

See Missouri salary details

$7

$19

$33

How much do repo agent jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for repo agent in Missouri is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $11.51 and $23.87 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a repo agent?

To thrive as a Repo Agent, you need a solid understanding of repossession laws, attention to detail, a valid driver's license, and often a high school diploma or equivalent. Familiarity with GPS tracking systems, recovery management software, and sometimes certification from organizations like the Certified Asset Recovery Specialist (CARS) program are typical. Strong negotiation, conflict resolution, and effective communication skills help you handle tense situations and interact professionally with clients and debtors. These abilities are essential for ensuring legal compliance, personal safety, and successful asset recovery in challenging and dynamic environments.

What is a repo agent?

Repo agents, short for repossession agents, are professionals hired by lenders or financial institutions to recover property—most commonly vehicles—that have been defaulted on by borrowers. Their primary responsibility is to locate and legally repossess collateral when a borrower fails to make payments as agreed. Repo agents typically work with banks, credit unions, and finance companies, and must follow strict legal guidelines to avoid breaching the peace during repossession. The job often requires investigative skills, discretion, and a thorough understanding of state and federal repossession laws.

What challenges do repo agents face in the field, and how can they be managed?

Repo Agents often encounter challenging situations such as dealing with uncooperative or confrontational vehicle owners, working irregular hours, and operating in varying weather conditions. To manage these challenges, agents rely on strong communication skills, thorough knowledge of legal regulations, and situational awareness. Most employers provide training on conflict de-escalation and safety protocols, and teamwork with dispatchers and other agents is essential for support and coordination during repossession assignments.

How do you become a repo agent?

To become a repo agent, you typically need a high school diploma or equivalent, a valid driver's license, and a clean driving record. Some employers require specialized training or certification in repossession procedures, and a background check is often conducted due to the nature of the job. Experience in collections, security, or law enforcement can be beneficial.

What is the difference between Repo Agent vs Repo Clerk?

AspectRepo AgentRepo Clerk
CredentialsDriver's license, sometimes a repossession licenseBasic administrative skills, possibly some licensing depending on state
Work EnvironmentOn-site at repossession locations, vehicle lots, or client sitesOffice settings, administrative offices, or remote work
Employer & IndustryRepossession agencies, auto finance companies

Repo Agents are responsible for physically locating and recovering vehicles, often working in the field. Repo Clerks handle administrative tasks related to repossessions, such as documentation and record-keeping. While both roles support the repossession process, Repo Agents focus on fieldwork, whereas Repo Clerks focus on office-based tasks.

Infographic showing various Repo Agent job openings in Missouri as of August 2026, with employment types broken down into 88% Full Time, 6% Temporary, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $40,156 per year, or $19.3 per hour.

Machine Learning Engineer - Inference Maintainer, Developer Experience

Jobtailor

California, MO • On-site

$150 - $190/hr

Other

Posted 2 days ago

New


Job description

Responsibilities
  • Build and maintain inference, our flagship open source and commercial CV inference engine, keeping it healthy and high-quality as contribution volume scales
  • Build an agentic-driven contribution pipeline — automated and semi-automated review, triage, and CI/CD — so we can safely accept a high volume of agent-generated PRs and move from weekly releases toward daily ones
  • Design and grow a world-grounded, ever-expanding test suite that validates real build health across every target (standalone and on-platform), with the goal of nightly end-to-end runs across all of them
  • Define and enforce the "rules of the road" — the review standards and skills that agents and contributors must follow. Exercise sharp judgment on when to merge fast and when to push back, and encode that judgment into the system itself
  • Streamline how new models get added to inference (the most fun part of the job) — making it dramatically faster and easier to bring the latest computer vision and ML models to our users
  • Teach and enable internal teams and customers. Keep our Field Engineers and Support team a step ahead so they can self-serve and go deeper, and help customers get the full value of the product
  • Be the bridge between core engineering and clients — translating new capabilities into docs, demos, stories, and launches which would help people use inference more effectively
  • Contribute to and grow the broader open source community around the project
Requirements
  • 5+ years of hands‑on experience building and operating production‑grade ML systems, ideally involving large‑scale deployment of modern AI models
  • A real CV/ML foundation — you understand what inference does: how computer vision models work internally, how they’re deployed across diverse environments, and how to adapt them for real‑world, high‑impact use
  • Stellar agentic skills. You build with AI coding agents fluently and have a track record of using them not just to ship features, but to automate the engineering process itself — review, triage, testing, and CI
  • Strong CS and systems background, with the ability to independently tackle complex programming, architecture, and reliability challenges and exercise sound judgment on when to move fast and when rigor is essential
  • Hands‑on experience with CI/CD, release engineering, and test infrastructure — you’ve built or substantially improved automated testing and delivery pipelines before
  • Practical expertise with core ML technologies, including several of the following: PyTorch, TensorFlow, ONNX, TensorRT, vLLM (or other LLM/model deployment tools)
  • Strong proficiency in image and video processing, including several of the following: OpenCV, DeepStream, Pillow, PyAV, hardware‑accelerated video decoding. Experience with video streaming protocols is an advantage
  • Excellent communication and soft skills. You can teach, write clearly, and collaborate across engineering, support, field, and marketing — and you actually enjoy it. You’re comfortable being a public‑facing voice for a project
  • Open source maintenance experience is a strong plus — you know what it takes to steward a busy repo and a community of contributors
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