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Promo Model Jobs in California (NOW HIRING)

True Religion

Planner, Ecommerce

El Segundo, CA

$90K - $110K/yr

Maintain pricing and promo files for the web. Identify product pricing and transfer opportunities ... High proficiency in Microsoft Excel, including advanced functions and data modeling * Knowledge of ...

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Promo Model information

See California salary details

$15

$25

$33

How much do promo model jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for promo model in California is $25.51, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $30.14 per hour, depending on experience, location, and employer.

What are some common challenges faced by promo models during events and how can they be managed?

Promo models often encounter challenges such as standing for long periods, maintaining high energy levels throughout events, and engaging with diverse audiences. Managing these challenges requires good stamina, effective communication skills, and adaptability to different environments. Building rapport quickly and learning product information thoroughly can also help promo models succeed and handle unexpected questions or situations confidently.

What are the key skills and qualifications needed to thrive as a promo model, and why are they important?

To thrive as a Promo Model, you need strong interpersonal skills, a professional appearance, and experience or training in promotional events or brand representation. Familiarity with event management tools, customer tracking systems, and sometimes basic point-of-sale technology is beneficial. Outstanding communication, approachability, and adaptability help you engage effectively with diverse audiences and represent brands positively. These skills ensure that promo models can attract attention, convey key messages, and create memorable brand experiences that drive event success.

What does a promo model do?

As a promo model, your job is to engage in promotional activities for a product, service, or brand, usually through direct interaction with a potential customer. Promo models often work at in-store demonstrations and events or through social media to reach as many potential customers as possible. These jobs can be one-time, part-time, or full-time positions depending on the needs and marketing strategies of each company. Many promo models speak in front of crowds, demonstrate how to use products, answer questions, and otherwise represent a company as much as possible. Promo modeling is usually direct advertising where customers know who you work for, as opposed to influencer marketing where the advertising is indirect.

What is a promo model?

Promo models, also known as promotional models, are individuals hired to represent and promote a brand, product, or service at events, trade shows, or marketing campaigns. Their role is to engage with potential customers, distribute samples or information, and create a positive impression of the brand. Promo models often work at events such as conventions, in-store promotions, or product launches, helping to increase brand awareness and drive consumer interest. They are usually selected for their communication skills, approachable demeanor, and professional appearance.

What is the difference between Promo Model vs Brand Ambassador?

AspectPromo ModelBrand Ambassador
CredentialsMinimal; often no formal certification neededOften similar; may include basic marketing or communication skills
Work EnvironmentEvent venues, trade shows, promotional campaignsCommunity events, social media, brand promotions
Employer & Industry UsageMarketing agencies, event companies, retail promotionsBrands, marketing firms, product launches

Promo Models primarily focus on product showcasing at events, while Brand Ambassadors engage more deeply with audiences, often representing the brand long-term. Both roles require strong communication skills and a friendly demeanor, but Brand Ambassadors typically have a broader role in brand promotion and customer engagement.

More about Promo Model jobs
What are popular job titles related to Promo Model jobs in California? For Promo Model jobs in California, the most frequently searched job titles are:
What job categories do people searching Promo Model jobs in California look for? The top searched job categories for Promo Model jobs in California are:
What cities in California are hiring for Promo Model jobs? Cities in California with the most Promo Model job openings:
What are popular job titles related to Promo Model jobs in CA? For Promo Model jobs in CA, the most frequently searched job titles are:
Promo Model jobs near you
Infographic showing various Promo Model job openings in California as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% In-person job distribution, with an average salary of $53,065 per year, or $25.5 per hour.

Senior Computer Vision / Applied AI Engineer

Simbe Robotics

San Francisco, CA • On-site

$160K - $200K/yr

Full-time

Posted 5 days ago

Job description

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.

Simbe is looking for a Senior Computer Vision / Applied AI Engineer to build production AI systems that turn store imagery into trusted retail intelligence. This role will work across dense product detection, price tag and promo tag detection, OCR, barcode decoding, product association, segmentation, visual search, model evaluation, and customer specific model improvements. The right person isa strong ML engineer, an exceptional software engineer, and a practical builder who enjoys messy real world data, rapid iteration, and measurable customer impact.

Why This Role Is High Impact
  • You will work on dense, cluttered, real world visual scenes where accuracy directly drives customer value.
  • You will help improve core Simbe use cases such as out of stock detection, price accuracy, promo compliance, top stock, and product location intelligence.
  • You will work on the full model lifecycle: data, annotation quality, training, evaluation, release, monitoring, and production debugging.
Responsibilities
  • Build production CV models. Design, train, validate, and deploy models for object detection, segmentation, OCR, barcode localization, product recognition, shelf understanding, and other customer facing computer vision tasks.
  • Own dataset quality. Curate, clean, version, and analyze large real world training datasets, including hard negative mining, annotation QA, data audits, and active learning workflows.
  • Improve model performance. Research and implement model architecture, loss function, data augmentation, synthetic data, and evaluation improvements that increase precision, recall, latency, and robustness across customers.
  • Support model releases. Contribute to model validation, release gates, inference wrappers, ONNX/TensorRT exports, and production monitoring so models are reliable in customer environments.
  • Develop tooling. Build internal tools for model evaluation, annotation review, error mining, data visualization, dataset exports, and deployment readiness.
  • Partner cross functionally. Work closely with Product, Customer Success, Data, Robotics Software, and Field Operations to turn customer issues into model and pipeline improvements.
  • Stay current. Track modern work in open vocabulary detection, promptable segmentation, multimodal product understanding, visual search, OCR, and edge inference, and evaluate where it can create value for Simbe.
Required Qualifications
  • 5+ years of experience in computer vision, applied machine learning, robotics perception, or related production AI systems.
  • Strong Python experience and hands on experience with PyTorch or TensorFlow.
  • Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models.
  • Strong understanding of dataset curation, annotation quality, model evaluation, error analysis, and experimentation.
  • Experience building maintainable production code and data pipelines in a Linux based environment.
  • Ability to balance research quality with production constraints such as latency, compute, memory, robustness, and ease of deployment.
  • Strong communication skills and a customer value mindset.
Bonus Qualifications
  • Experience with retail, product recognition, shelf intelligence, OCR, barcode decoding, fine grained recognition, or visual product search.
  • Experience with ONNX, TensorRT, CUDA, quantization, model profiling, or edge deployment.
  • Experience with C++, ROS/ROS2, RGBD cameras, 3D geometry, homography, calibration, or robotic perception.
  • Experience with FiftyOne, CVAT, Labelbox, Roboflow, or other data centric ML tools.
  • Experience with synthetic data generation, simulation, active learning, or automated annotation workflows.
  • Publications, patents, open source contributions, or production systems in relevant CV/AI domains.
$160,000 - $200,000 a year

The base salary offered is based on market location and may vary depending on individualized factors for job candidates, including job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include equity compensation, in addition to a full range of medical, financial, and other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Simbe Values: R. E. T. A. I. L.

  • Result Driven - We are customer centric and results driven. We strive to create immense value for our team, partners, customers, and investors.

  • Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.

  • Transparent - We value open communication internally, and with our partners and customers. We are receptive to feedback.

  • Agile - We are eager to learn and adapt quickly to changes and customer needs.

  • Innovative - We are bold and innovative, with an intense focus on product design, user experience, and customer value.

  • Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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