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Face Modeling Jobs in California (NOW HIRING)

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Face Modeling information

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$75

How much do face modeling jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for face modeling in California is $39.81, according to ZipRecruiter salary data. Most workers in this role earn between $30.82 and $42.93 per hour, depending on experience, location, and employer.

How much do face models get paid?

Face models typically earn between $50 and $300 per hour, depending on factors such as experience, the type of project, and the usage rights. Rates can vary widely for commercial, editorial, or promotional work, with some projects paying a flat fee or licensing fees for specific uses.

How do you get into face modeling?

To become a face model, individuals typically build a portfolio with professional photographs highlighting their facial features, often work with modeling agencies or casting directors, and may need to meet specific criteria such as clear skin and symmetrical features. Developing good skin care, practicing facial expressions, and understanding industry standards can improve chances of success.

What is face modeling?

Face modeling is a specialized area within modeling and digital arts that focuses on representing facial features for various purposes such as fashion, advertising, animation, video games, or 3D graphics. In the context of fashion and beauty, face models are hired for close-up shots showcasing products like cosmetics, jewelry, or skincare. In digital media, face modeling involves creating realistic or stylized digital representations of human faces using 3D modeling software. The skills required can vary from having the right facial features and expressions for photography to technical expertise in digital modeling.

What are the requirements for a face model?

Face modeling requires clear, symmetrical facial features, good skin condition, and a neutral or expressive look suitable for photography or casting. Some roles may require specific skin tones or features, and models often need to be comfortable with photoshoots and following directions. A portfolio or headshots are typically necessary to showcase your appearance to clients or agencies.

What is the difference between Face Modeling vs Makeup Artist?

AspectFace ModelingMakeup Artist
Required CredentialsPortfolio, modeling experience, sometimes certificationsCosmetology license, makeup certifications
Work EnvironmentPhoto shoots, fashion shows, commercialsSalons, studios, events, photoshoots
Industry UsageFashion, advertising, entertainmentBeauty, fashion, entertainment

Face Modeling involves showcasing facial features for brands, photographers, and designers, focusing on appearance and expressions. Makeup Artists apply cosmetics to enhance or transform faces for various occasions. While both roles work closely with facial aesthetics, Face Modeling emphasizes natural or styled looks for visual media, whereas Makeup Artists create specific looks through makeup application. Understanding these differences helps clients choose the right professional for their needs.

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

To thrive as a Face Model, you need distinct facial features, clear skin, and a professional attitude, often supported by a strong portfolio and agency representation. Familiarity with posing techniques, makeup application, and industry standards is essential, as is experience working with cameras and lighting setups. Confidence, adaptability, and strong interpersonal skills help models collaborate effectively with photographers, stylists, and clients. These skills and qualities are crucial for consistently meeting client expectations and succeeding in a competitive, image-focused industry.

What are some common challenges faced by professionals in face modeling, and how can they be addressed?

Face modeling often requires adapting to different makeup styles, lighting conditions, and camera angles, which can be challenging for both new and experienced models. Maintaining healthy skin and facial expressions is essential, as the face is the primary focus in this role. Additionally, face models frequently work closely with photographers, makeup artists, and creative directors, so effective communication and flexibility are key. Staying updated on industry trends and building a strong, diverse portfolio can also help overcome these challenges and open up more opportunities.
What are popular job titles related to Face Modeling jobs in California? For Face Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Face Modeling jobs in California look for? The top searched job categories for Face Modeling jobs in California are:
What cities in California are hiring for Face Modeling jobs? Cities in California with the most Face Modeling job openings:
Face Modeling jobs near you
Infographic showing various Face Modeling job openings in California as of August 2026, with employment types broken down into 38% Full Time, 57% Part Time, and 5% Temporary. Highlights an 100% In-person job distribution, with an average salary of $82,797 per year, or $39.8 per hour.

AI Engineer -- Biometrics (On-site San Francisco or Barcelona)

Didit (YC W26)

San Francisco, CA • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Didit is an infrastructure company for identity and fraud, seeking an AI Engineer to join their in-house AI lab, Didit Labs. The role involves developing state-of-the-art biometric models for fraud detection that will be used by millions, requiring expertise in computer vision and deep learning.
Responsibilities:
• Deep computer-vision expertise focused on faces — liveness, anti-spoofing / PAD, recognition, or related.
• You've built and shipped face models, not just used them.
• Strong deep-learning fundamentals — PyTorch, training pipelines, and the judgment to take a model from SOTA paper to production.
• You ship. You can move from research to a real, fast, reliable service.
• High ownership and intensity — we're a small, lean team that expects a lot and moves fast.
Qualifications:
Required:
• Deep computer-vision expertise focused on faces — liveness, anti-spoofing / PAD, recognition, or related. You've built and shipped face models, not just used them.
• Strong deep-learning fundamentals — PyTorch, training pipelines, and the judgment to take a model from SOTA paper to production.
• You ship. You can move from research to a real, fast, reliable service.
• High ownership and intensity — we're a small, lean team that expects a lot and moves fast.
Preferred:
• A track record that proves the level — strong publications, a competitive ML record (e.g. Kaggle), or production face-biometrics systems at scale.
Company:
Didit is programmable infrastructure for identity and fraud — the best way to integrate identity and fraud checks into your app. Founded in 2023, the company is headquartered in Barcelona, ESP, with a team of 11-50 employees. The company is currently Early Stage.

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