Interested in this AI/ML Engineer role at 11th State Consults?
Apply Now →About This Role
You've spent years selling the airtime. Now sell the commercial itself.
If you sell — or ever sold — TV, radio, streaming, digital, or out\-of\-home advertising, you know the stall that kills campaigns: the client has no spot, their creative is ten years old, or the production quote came back at $30,000 and the deal died on the table. That stall is now your product.
We produce cinema\-quality AI commercials that replace $25,000–$100,000 traditional production budgets, delivered in 5–10 business days from a two\-minute scan of the client. You earn 30% flat commission on every order. No caps, no tiers, no decay. Over 50% of clients reorder within 90 days — and the second cycle pays 30% again.
See the work before you decide anything:
→ https://aivideos.co/work
WHY THIS FITS A MEDIA SELLER
Your advertisers already budget for video. You're not creating demand — you're redirecting it to something better and cheaper.
A 90\-second traditional commercial runs $25,000–$50,000\. A retained videographer costs $4K–$8K/month, shoots one angle, delivers one look, and takes three months. We replace that with a two\-minute scan: unlimited commercials, any location, any wardrobe, any season, multiple scenes — environments that would normally need a 20\-person crew and a six\-figure budget. Spanish\-language versions come from the same scan, no second shoot day.
This is the rare case where the most advanced option is also the cheapest. You're saving the client money on something better — and better creative makes their media perform, which protects your renewals if you're still carrying a book. This sells alongside a media job, not against it.
The local categories you already sell — auto dealers, home services, medical and aesthetic, restaurants, real estate, professional services — are exactly the verticals in our gallery.
Your relationships outlive any single medium. Linear dollars keep shrinking; the advertisers stay. This is the product that travels with you.
WHAT YOU EARN
30% flat commission on every order. No caps. No tiers. No decay. Repeat orders pay 30% AGAIN. Over 50% of clients reorder within 90 days. Net 30 after delivery.
Worked math:
$3,000 floor deal → $1,000 to you
$10,000 target deal → $3,000 to you
$25,000\+ enterprise → $7,500\+ to you
$50,000 full\-year → $15,000 to you
Reorder within 90 days → the math repeats
A single agency relationship — one white\-label account — produces ongoing flow across every one of their clients, every quarter, every campaign. That's a business, not a lead.
BUILT A TEAM BEFORE? OVERRIDES EXIST
If you've run a media sales team, this is your lane. Common structure: 20/10 split — closer keeps 20%, recruiter keeps 10%. Same 30% pool either way. Recruit, train, override.
WHO WE'RE LOOKING FOR
Minimum 5 years B2B sales experience — media or advertising sales strongly preferred. An active or recent book: SMB advertisers, agency contacts, dealership groups, franchise operators. Sellers who can run this alongside a current media role. Team\-builders who want overrides on a bench of closers.
WHO WE'RE NOT LOOKING FOR
W\-2 base\-seekers Reps who need salary protection while they "build pipeline" Anyone looking for an MLM\-style referral program — this is not that Reps under 5 years of B2B sales experience
WHAT WE PROVIDE
Pitch deck and full demo gallery, ready to send to prospects Commission calculator with worked math at every deal tier White\-label materials if you're selling through an agency Kickoff call to walk through the product, the market, and who to target first Quote turnaround within 24 hours of your prospect brief Scan team deployment anywhere in the continental US within 7 days First\-draft video delivery in under 10 business days Rush delivery options for time\-sensitive launches Professional script\-writing service included on every project Senior production team — broadcast\-grade quality on every spot Spanish\-language production from the same scan, no second shoot day For large accounts and big teams, we get on the call with you and close together Personalized demo: when it makes sense, we'll scan one of your prospects and place them in a custom demo video. Seeing themselves in the product is the strongest close there is. Active platform presence — responses within 24 hours
You're never out there alone. We build the materials, produce the work, and show up for the big conversations. Your job is the relationship.
HOW IT WORKS
Apply. We review applications within 5 business days.
First call (30 min): your background, your book, the product, the gallery, and the commission math.
Reference check, 1099 contract signed, kit shipped (pitch deck, pricing sheet, quote template, personalized\-demo workflow).
You submit prospect briefs. We return custom quotes within 24 hours. Client pays AiVideos.co directly. Your commission pays Net 30 after delivery.
THE PRODUCT — SEE IT FIRST
The single biggest objection to AI video is "but it looks like AI." You've sat across from advertisers for years — judge it yourself before you decide whether to sell it:
→ https://aivideos.co/work
If the work answers your quality question, the math above is honest. If the work doesn't impress you, this role isn't for you.
APPLY
→ https://aivideos.co/sell\-for\-us
Or apply through Indeed. We respond to every applicant who provides a short note on (a) the advertising products you sell today, (b) two or three advertisers you'd show this to first, and (c) your first reaction to the work at aivideos.co/work.
AiVideos.co is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Pay: $50,000\.00 \- $300,000\.00 per year
Benefits:
- Flexible schedule
Application Question(s):
- What advertising products do you sell today (TV, radio, streaming, digital, OOH), and how many active advertiser relationships do/have you personally manage?
- What's the largest single deal you've closed in the past 12 months? Average Deal Size? What was your commission structure?
- After reviewing aivideos.co/work — what's your first reaction to the product quality? Taking into consideration that all of these productions are created from a single scan, without a camera and without the client for less than a traditional film shoot, how comfortable do feel selling this type of product?
Work Location: Remote
Salary Context
This $50K-$300K range is below the median for AI/ML Engineer roles in our dataset (median: $180K across 2130 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 4,133 AI roles we're tracking, AI/ML Engineer positions make up 69% of the market. At 11th State Consults, 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 in Demand for This Role
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 $185,000 based on 13,200 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,778. This role's midpoint ($175K) sits 5% below the category median. Disclosed range: $50K to $300K.
Across all AI roles, the market median is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Safety ($274,200) and AI Engineering Manager ($268,700). By seniority level: Entry: $97,760; Mid: $165,778; Senior: $227,400; Director: $250,000; VP: $250,000.
11th State Consults AI Hiring
11th State Consults has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in US. Compensation range: $300K - $300K.
Location Context
AI roles in Austin pay a median of $215,300 across 535 tracked positions. That's 7% above the national 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 4,133 open positions tracked in our dataset. By seniority: 106 entry-level, 1,901 mid-level, 1,663 senior, and 463 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (583 positions). The remaining 3,532 roles require on-site or hybrid attendance.
The market median for AI roles is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Safety ($274,200 median, 57 roles); AI Engineering Manager ($268,700 median, 42 roles); Research Engineer ($260,000 median, 442 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 4,133 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,865), Data Scientist (339), AI Software Engineer (313). 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 (106) are outnumbered by mid-level (1,901) and senior (1,663) 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 463 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (583 positions), with 3,532 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 $200,700. Top-quartile roles start at $254,000, and the 90th percentile reaches $307,500. 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 Safety roles lead at $274,200 median, while Prompt Engineer roles sit at $140,000. 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: Python (2,128 postings), Aws (1,324 postings), Azure (1,003 postings), Rag (916 postings), Gcp (817 postings), Pytorch (655 postings), Prompt Engineering (639 postings), Claude (571 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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