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About This Role
Remote \| Flexible Schedule \| up to $50/hr incl. performance bonus \| 30 – 40 hrs/wk
Please apply directly here: https://jobs.ashbyhq.com/hellohera/c4a6c7f3\-14f8\-45c4\-8686\-2d3a12888ad3
A doctor refers a family to Hera. They're cautiously optimistic but mostly overwhelmed \- they've been bounced between systems, handed pamphlets, told to "call this number." They don't know what geriatric care management is. They definitely don't know it's covered by Medicare. They're one confusing phone call away from saying "never mind, we'll figure it out ourselves."
You're the reason they don't.
As an Onboarding Guide, you're the first voice a family hears from Hera. You help them understand how Hera competently cares for their parents, walk them through every step of getting started, and hand them off to their Hero feeling confident, heard, and ready. You're part closer, part concierge, part care coordinator. You just make the path so clear and the experience so easy that saying yes feels obvious.
This role sits at the intersection of relationship\-building and operations. You're selling, but what you're selling is something families genuinely need, and your job is to remove every obstacle between a referral and a first appointment. Missing paperwork, skeptical adult children, a patient who's never used a computer \- you will get through whatever it takes so that the family can meet their Hero.
Your mission as the Onboarding Guide
- You're the reason families actually get help instead of falling through the cracks between referral and care
- You aren’t just going through a motion. You're building trust with real families at a vulnerable moment
- You own the full onboarding experience, no handing things off and hoping for the best
- You leverage technology to make onboarding seamless, not a stack of faxes and voicemails
- Elevate your ceiling. We're early stage and growing fast \- Guides joining now are shaping how every future family experiences Hera
The Role
- 1099, 30–40 hrs/week in business hours EST (you set your schedule)
- $25\-30/hour base \+ enrollment bonuses (top performers earn $40\-50/hour)
- Be the first point of contact after a doctor refers a family to Hera \- guide them from "what is Hera?" to their first Hero appointment
- Remote \- must be located in the United States
What you'll actually do
- Convert referrals into active clients by helping families understand what Hera is and how we can be valuable in their care journey
- Guide families through the onboarding process \- paperwork, documentation, insurance verification, scheduling \- so nothing stalls
- Coordinate between families and Hera's care team to ensure a clean handoff to their matched Hero
- Help families navigate technology \- uploading documents, joining telehealth appointments, signing e\-forms
- Spot friction in the intake process and fix it \- not just for one family, but for every family after them
- Collaborate with our engineering team to streamline workflows and scale how many families we can onboard without sacrificing quality
You'd be a great fit if you
- Have a background in healthcare sales, care coordination, or customer success — especially with older adults or their families
- Are warm on the phone and sharp on the follow\-through. Families trust you quickly and nothing falls through the cracks
- Think "how do I get this from 2 hours to 15 minutes" without cutting corners
- Hold yourself to a high bar \- done right, not just done
- Are tech\-savvy and energized by fast\-moving environments where the playbook is still being written
Interviewing now, you can start as soon as within 2 weeks.
No nights, no weekends required.
*Please don't call our website, we reserve that line for patient calls.* Learn more about us: https://hellohera.com/
Pay: $25\.00 \- $50\.00 per hour
Benefits:
- Flexible schedule
Application Question(s):
- Please apply directly here to ensure your application is properly viewed: https://jobs.ashbyhq.com/hellohera/c4a6c7f3\-14f8\-45c4\-8686\-2d3a12888ad3/application
Work Location: Remote
Salary Context
This $52K-$104K range is below the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
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 Hera, 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
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. This role's midpoint ($78K) sits 53% below the category median. Disclosed range: $52K to $104K.
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.
Hera AI Hiring
Hera has 2 open AI roles right now. They're hiring across AI/ML Engineer. Based in Remote, US. Compensation range: $104K - $104K.
Remote Work Context
Remote AI roles pay a median of $156,000 across 1,221 positions. About 7% of all AI roles offer remote work.
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
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