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Live In Remote Dog Trainer Jobs in Pennsylvania (NOW HIRING)

YO AI Labs

Personal Trainer - Remote

Philadelphia, PA · Remote

$25 - $40/hr

Personal Trainer Role Type: Contractor Location: Remote Job Overview We are seeking experienced ... In this role, you will apply your knowledge of exercise programming, client motivation ...

Amerihealth Caritas

Remote * Qualified candidates must live in PA and be able to travel throughout the entire state ... Development of workflow and desk-level tools for departmental education, training, and ongoing in ...

Amerihealth Caritas

Mgr LTSS PA CHC

Philadelphia, PA · On-site +1

Remote * Qualified candidates must live in PA and be able to travel throughout the entire state ... Development of workflow and desk-level tools for departmental education, training, and ongoing in ...

Disabled Veteran Solutions

Customer Advocate

Erie, PA · Remote

$19/hr

Comprehensive 7-week orientation with full training and ongoing support * Environment: 100% remote ... Minimum of 1 year of experience in insurance operations, remote medical or technical related role ...

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Live In Remote Dog Trainer information

What is a live in remote dog trainer?

Live In Remote Dog Trainers are professionals who temporarily reside in a client's home or a designated location to provide intensive dog training services. They often work in remote or rural areas, bringing their expertise directly to clients who may not have access to local trainers. Their role involves evaluating the dog's behavior, implementing training plans, and sometimes educating owners on maintaining results. This immersive approach can lead to quicker behavioral improvements and stronger bonds between dogs and their owners. Live In Remote Dog Trainers typically have experience with various training techniques and are skilled at adapting to different living environments.

What are the key skills and qualifications needed to thrive as a live in remote dog trainer?

To thrive as a Live In Remote Dog Trainer, you need expertise in animal behavior, dog training techniques, and often a certification such as CPDT-KA or equivalent. Familiarity with remote communication tools, video conferencing platforms, and digital training resources is essential for coaching clients and monitoring progress. Strong interpersonal skills, patience, and problem-solving abilities help build trust with dog owners and adapt training to individual needs. These skills are vital for delivering effective training outcomes and maintaining client satisfaction in a remote, live-in setting.

What are the typical work-life balance considerations for a live in remote dog trainer?

As a Live In Remote Dog Trainer, you will often reside onsite with clients or at designated training facilities, which can blur the lines between professional and personal time. While this arrangement allows for intensive, consistent training and rapid progress with dogs, it may require flexibility in your schedule and adaptability to clients' routines. It's important to communicate boundaries and expectations with clients to ensure you have adequate downtime. Many trainers find that integrating self-care practices and maintaining clear schedules can help achieve a sustainable work-life balance in this unique role.

What cities in Pennsylvania are hiring for Live In Remote Dog Trainer jobs?

Cities in Pennsylvania with the most Live In Remote Dog Trainer job openings:

Live In Remote Dog Trainer jobs near you
Infographic showing various Live In Remote Dog Trainer job openings in Pennsylvania as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

AI coding agents Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$80 - $120/hr

Full-time

Posted 7 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.