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Remote Dental Software Trainer Jobs (NOW HIRING)

AI Trainer - Remote

Dallas, TX · Remote

$80 - $120/hr

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 ...

AI Trainer - Remote

Chicago, IL · Remote

$80 - $120/hr

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 ...

AI Trainer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

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 ...

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 ...

AI Trainer - Remote

Austin, TX · Remote

$80 - $120/hr

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 ...

... with dental practices. In this fully remote role, you'll be responsible for increasing case ... What You'll Do * Act as a consultative partner, training and supporting practices to optimize ...

Showing results 21-40

Remote Dental Software Trainer information

See salary details

$13

$31

$63

How much do remote dental software trainer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote dental software trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is a remote dental software trainer?

A Remote Dental Software Trainer is a professional who teaches dental office staff how to use specialized dental software systems through virtual platforms. They provide training, support, and troubleshooting assistance for software that manages patient records, appointment scheduling, billing, and other dental office operations. Their role is crucial in helping dental practices efficiently implement and utilize technology to improve workflow and patient care. Typically, they conduct live webinars, create instructional materials, and offer ongoing support remotely. This position requires strong communication skills, technical expertise, and familiarity with dental office processes.

What are the key skills and qualifications needed to thrive as a remote dental software trainer?

To thrive as a Remote Dental Software Trainer, you need a solid understanding of dental practice workflows, dental terminology, and experience with dental management software, often supported by a background in dental assisting or office administration. Familiarity with platforms like Dentrix, Eaglesoft, or Open Dental, as well as proficiency in remote training tools such as Zoom or Microsoft Teams, is typically required. Strong communication, patience, and the ability to adapt teaching methods to various learning styles are essential soft skills for engaging clients remotely. These capabilities ensure trainers can effectively educate dental professionals, support smooth software adoption, and maintain high client satisfaction from a distance.

What are some common challenges faced by remote dental software trainers, and how can they be addressed?

Remote Dental Software Trainers often encounter challenges such as varying levels of technical proficiency among dental staff and ensuring effective communication without in-person interactions. Overcoming these challenges typically involves adapting training methods to different learning styles, utilizing clear visual aids, and providing hands-on support through screen sharing or recorded tutorials. Building rapport and maintaining engagement in a virtual environment is also key, which can be achieved by encouraging questions and offering follow-up sessions for additional support.

What is the difference between Remote Dental Software Trainer vs Remote Dental Office Manager?

AspectRemote Dental Software TrainerRemote Dental Office Manager
Primary RoleProvides training on dental software systems to dental staffOversees daily office operations and staff management
Required CredentialsDental or software training certifications, knowledge of dental softwareDental office management experience, certifications in practice management
Work EnvironmentRemote, training sessions, webinars, online supportRemote or hybrid, administrative tasks, staff coordination
Industry UsageDental software companies, training providersDental practices, clinics, dental networks

The main difference is that a Remote Dental Software Trainer focuses on educating dental staff about software systems, while a Remote Dental Office Manager handles overall practice operations. Both roles require dental industry knowledge, but their responsibilities and daily tasks differ significantly.

More about Remote Dental Software Trainer jobs

What cities are hiring for Remote Dental Software Trainer jobs?

Cities with the most Remote Dental Software Trainer job openings:

What are the most commonly searched types of Dental Software Trainer jobs?

The most popular types of Dental Software Trainer jobs are:

What states have the most Remote Dental Software Trainer jobs?

States with the most job openings for Remote Dental Software Trainer jobs include:

Infographic showing various Remote Dental Software Trainer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Trainer - Remote

YO AI Labs

Dallas, TX • Remote

$80 - $120/hr

Full-time

Posted 8 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.