Medical Assistant Training Coach

Florissant, MO, US Mid Level AI/ML Engineer

Interested in this AI/ML Engineer role at GoHealth Urgent Care?

Apply Now →

Skills & Technologies

PostalRag

About This Role

AI job market dashboard showing open roles by category

It's fun to work in a company where people truly BELIEVE in what they are doing!

*We're committed to bringing passion and customer focus to the business.*

Job Description

At GoHealth Urgent Care, we place the needs of our patients first \- by providing an effortless patient experience, a welcoming culture of care and seamless integration with market\-leading health systems and our communities.

The Training Coach – MA role partners with the learning and operations team to help create an effortless, personal, and connected onboarding and training experience. The Training Coach \- MA is responsible for executing on the practical skills training phase of new hire training by following a formal and organized method of teaching new or existing team members the critical thinking skills and high\-level competencies to feel comfortable and confident in doing their role. The Training Coach \- MA uses a competency\-based model to foster growth learning and enhance the socialization of the learner. The types of learners include newly hired team members, team members transferring to a center or department, and those team members who require additional support with new or existing learning experiences. The Training Coach – MA will provide support to the Medical Providers, Radiologic Technologist, and patients through a variety of tasks, including but not limited to patient care management, organization, and communication.

Job Requirements

Education

  • Graduate of a Medical Assistant Program preferred
  • 1\+ years of Medical Assistant experience under a licensed healthcare supervisor within the last 3 years preferred
  • CPOE must be obtained within 2 weeks of hire if Medical Assistant Certification is not obtained upon hire required
  • High school diploma or equivalent required

Work Experience

  • Medical Assistant experience preferred for Graduate of a Medical Assistant Program or
  • 2\+ years of experience within the last 3 years under a licensed healthcare supervisor in lieu of a Medical Assistant program preferred.
  • Training or related experience *required*
  • Experience using Electronic Health Record (EHR)
  • Urgent care experience *preferred.*

Licenses/Certifications

One of the following certifications is required at time of hire:

  • ARMA\- American Registry of Medical Assistants
  • CCMA\- Certified Clinical Medical Assistant (verified through NHA, National Healthcareer Association)
  • CMA\- Certified Medical Assistant (verified through AAMA, American Association of Medical Assistant)
  • RMA\- Registered Medical Assistant (verified through AMT, American Medical Technologists or AAH, American Allied Health)
  • NCMA\- National Certified Medical Assistant (verified through NCCT, National Center for Competency Testing)
  • NRCMA – Nationally Registered Certified Medical Assistant (verified through the National Association for Health Professionals)

*Or the following certifications are excepted at the time of hire:*

  • Graduate of an Accredited School of Nursing or LPN or RN
  • EMT – Emergency Medical Technician (verified through the National Registry of Emergency Medical Technicians)
  • CNA \- Certified Nursing Assistant
  • Basic Life Support (BLS) required at time of hire.
  • Computerize Provider Order Entry (CPOE) certification for order entry is required within two weeks of start date and must be kept active in lieu of MA certification within the first 15 months of hire.

Additional Knowledge, Skills and Abilities Required

  • Proficient use and understanding of medical terminology
  • Clinical skills in Point of Care Testing, vitals intake, clinical laboratory procedures
  • Proficiency in Microsoft Office programs (i.e., Word, Excel, PowerPoint, Outlook, etc.)
  • Excellent verbal and written communication skills
  • Excellent presentation skills
  • Excellent organizational skills

Core Competencies:

  • Collaboration:Takes ownership for collectively establishing productive partnerships and relationships and seek to gain joint understanding of priorities and objectives so that the greater good of the organization and those we serve is always at the forefront.
  • Innovation:Consistently uses good judgment, applying creativity to overcome obstacles and increasing effectiveness and efficiency though process and other forms of innovation.
  • Diversity and Inclusion: Foster’s diversity and inclusion, to be able to better understand team members, our customers, and partners. Engages the strengths and talents of each GoHealth team member, creating an environment of involvement, respect, and connection where the richness of ideas, backgrounds and perspectives are harnessed.
  • Courage \& Integrity:Models and practices the highest ethical and professional standards; demonstrates pride and personal interest in our patients, partners, and fellow team members, deeply engaging in the business. Makes decisions, with a focus on doing the right thing; treats team members, our customers, partners and vendors with dignity, consideration, open\-mindedness, and respect.
  • Accountability:Always shows initiative, demonstrates a bias to action and gets things done. Actively accepts responsibility for diverse roles, obligations and actions that positively influence patient and customer outcomes, our partnerships, and the healthcare needs of our communities.

(Prioritized) Functional Competencies: to be selected and prioritized by the hiring manager for each position.

1\. FLEXIBILITY \- Open to change and new information; adapts behavior or work methods in response to new information, changing conditions, or unexpected obstacles; effectively deals with ambiguity.

2\. INTERPERSONAL – Develops and maintains excellent working relationships within HR and other business departments.

3\. ORAL COMMUNICATION \- Expresses information (ideas or facts) to individuals or groups effectively, considering the audience and nature of the information (technical, sensitive, controversial, etc.); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately.

4\. PROBLEM SOLVING – Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.

5\. SELF\-MANAGEMENT – Sets well\-defined and realistic personal goals; displays a high level of initiative, effort, and commitment towards completing assignments in a timely manner; works with minimal supervision; is motivated to achieve; demonstrates responsible behavior.

6\. TECHNICAL COMPETENCE – Uses or gains knowledge that is necessary to perform the major functions that are described above

7\. WRITING – Recognizes and uses correct English grammar, punctuation, and spelling; communicates information in a succinct and organized manner; produces written information that is appropriate for the intended audience.

8\. CUSTOMER SERVICE – Demonstrates a results\-oriented focus for delivering appropriate services in an accurate, complete, and timely fashion.

9\. TEAMWORK/COLLABORATION – Demonstrates skills and abilities in collaborative efforts with experience in team/project\-oriented activities.

10\. RELATIONSHIP MANAGEMENT – Maintains good communication and a positive relationship with employees at all levels of the organization to promote employee satisfaction. Projects excellent customer relations in all interactions.

11\.ORGANIZATION \- Advanced organizational skills with the ability to handle multiple assignments

Essential Functions

The Training Coach \- MA focuses on assessment and validation of team member’s skills and competencies. Duties include:

  • Teach and evaluate team members’ technical skill competencies using pre\-approved methods and procedures.
  • Conduct orientation to the center, department and/or organization to cover predetermined learning items.
  • Teach and train team members to bring them up to predetermined levels of competency for the specific job.
  • Hosts Learning Coach Workshop, as needed.
  • Acts a backup to the Training Specialists and completes classroom\-based training; complete Airtable compliance documentation.
  • Meets the required minimum 40 hours to a maximum of 80 hours of dedicated time invested with up to 6 assigned team members to ensure a level of knowledge and skills is acceptable within the company’s learning standards required.
  • Ensure a flexible schedule to capture new hires with challenging schedules i.e., Per Diems, Temporary, etc.…
  • Provide in\-center coaching to new team members on all assigned areas of the core competencies.
  • Offer hands\-on market specific training needs, from new hire training, check\-ins, market process updates/changes, clinical refresher needs, registration process refresh/updates, and annual competencies.
  • Ensure accountability of team members’ competence validation.
  • Collaborate with Training Specialists and Learning team leaders for ongoing quality improvements for the training program.
  • Meets with the Training Specialist regularly to support market operation training needs related to the team members’ learning journey including, but not limited to, new hire training, market learning process updates/changes, other market training needs.
  • Assists in maintaining Airtable compliance by completing and uploading Core Competency Checklist and submitting the Competency Evaluation via digital Airtable form.
  • Maintain team member evaluation feedback being at the fully meets or higher level each year.
  • Collaborate with Training Specialists and Learning team leaders for ongoing quality improvements for the training program.
  • 30, 60, 90\-day check\-ins for training needs to include, but not limited to, checklist to round and check comfort level
  • Track and manage the assigned completion of Core Competency Checklist items and submit e\-form when completed for new team members.
  • Provide timely feedback on assigned team member performance and escalate any issues if required.
  • Operates in a mobile capacity; travel to sites where majority of new hires home locations are near, as assigned.
  • Works operationally when no training is needed i.e., new hire training, workshops, BLS, fit testing, etc.
  • Provide support, partnership, and training to other market Training Coaches nationally, as needed.
  • Attends mandatory operations/learning meetings on behalf of Training Specialist in their absence.
  • Conduct patient registration, which includes securing required paperwork and insurance documentation, and verification of insurance and patient eligibility.
  • Process co\-pays and schedule patient appointments for assigned center.
  • Coordinate provider referrals to assigned Specialist.
  • Answer patient questions regarding their care and keep them informed of their status.
  • Inform technical staff of patient flow.
  • Prepare patients for examination, which includes conducting interviews to verify patient information, record medical history; confirm purpose of visit; etc.
  • Perform preliminary physical test (blood pressure, weight, temperature, etc.) for vital signs and escalate critical cases to provider as needed.
  • Conduct point of care testing as needed (i.e., flu, strep, urinalysis, ECG, HCG); and provide patient information to provider.
  • Responsible for stocking supplies and maintenance of exam rooms, front desk, and reception area; ensure providers have medical supplies needed.
  • Responsible for completing order sheets to maintain supply inventory levels; regularly check expiration dates on supplies.
  • Responsible for maintenance of medical records and scanning charts to patient files.
  • Answer phone calls, collect and sort daily incoming and outgoing postal correspondence.
  • Ensure reception area is well maintained.
  • Conduct courtesy call\-backs for patient follow\-up.
  • Follow operating instructions to perform and document daily controls and calibration of equipment; maintain Quality Assurance/Quality Control logs for equipment troubleshoot breakdowns, perform preventive maintenance, and submit repair tickets as needed.
  • Other patient care responsibilities as defined in the Medical Assistant Guideline document.
  • Ability to work a flexible schedule that includes evenings and weekends.
  • All other duties as assigned.

*Note: this job description is not inclusive of all the duties of the position. You may be asked by leaders to perform other duties. Management reserves the right to revise this position description at any time.*

*\#INDCS*

Set up email alerts as new job postings become available that meet your interest!

If you like wild growth and working with happy, enthusiastic over\-achievers, you'll enjoy your career with us!

Role Details

Title Medical Assistant Training Coach
Location Florissant, MO, US
Category AI/ML Engineer
Experience Mid Level
Salary Not disclosed
Remote No

About This Role

AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.

Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.

Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At GoHealth Urgent Care, this role fits into their broader AI and engineering organization.

Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.

What the Work Looks Like

A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.

Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.

Skills Required

Postal Rag (64% of roles)

Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.

Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.

Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.

Compensation Benchmarks

AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300.

Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.

GoHealth Urgent Care AI Hiring

GoHealth Urgent Care has 20 open AI roles right now. They're hiring across AI/ML Engineer. Positions span San Francisco, CA, US, Saint Charles, MO, US, O'Fallon, MO, US. Compensation range: $66K - $66K.

Location Context

Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).

Career Path

Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.

From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.

The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.

What to Expect in Interviews

Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.

When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.

AI Hiring Overview

The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.

The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).

Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.

The AI Job Market Today

The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 13,781 roles with disclosed compensation, the median salary for AI/ML Engineer positions is $166,983. Actual compensation varies by seniority, location, and company stage.
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
About 7% of the 26,159 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
GoHealth Urgent Care is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI/ML Engineer positions include ML Architect, AI Engineering Manager, Principal ML Engineer. Progression depends on whether you lean toward technical depth, people management, or product strategy.

Get Weekly AI Career Intelligence

Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.