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Face Models Jobs (NOW HIRING)

IntraEdge

Sr. Engineer - Backend

Woonsocket, RI · On-site

Collaborate with data science and product teams to incorporate pre-trained LLMs (e.g., OpenAI, Hugging Face models) into backend workflows * Participate in system architecture discussions ...

SID Global Solutions

AI Lead Engineer

Exton, PA · On-site

$98K - $130K/yr

Experience with OpenAI, Azure OpenAI, Claude, Gemini, and Hugging Face models. * Knowledge of MLOps, AI evaluation frameworks, and AI governance. * Experience with Spark, Kafka, and large-scale AI ...

Vytwo

Lead AI Engineer - Bengaluru, INDIA

Prosper, TX · On-site

$93K - $123K/yr

Fine-tune LLMs using LoRA/QLoRA and integrate with Azure OpenAI or Hugging Face models. * Implement vector search and retrieval pipelines using FAISS or Azure Cognitive Search. * Ensure responsible ...

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

Preferred Skills Experience with OpenAI, Azure OpenAI, Claude, Gemini, and Hugging Face models. Knowledge of MLOps, AI evaluation frameworks, and AI governance. Experience with Spark, Kafka, and ...

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Face Models information

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$10

$45

$142

How much do face models jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for face models in the United States is $45.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $72.12 per hour, depending on experience, location, and employer.

What is the difference between Face Models vs Makeup Models?

AspectFace ModelsMakeup Models
Required CredentialsMinimal; often based on appearance and skin conditionMinimal; focus on makeup application and skin suitability
Work EnvironmentPhoto shoots, fashion shows, advertisingPhoto shoots, beauty campaigns, runway shows
Industry UsageFashion, advertising, beautyBeauty, cosmetics, fashion
Search & Comparison IntentPeople seeking face modeling opportunities or infoPeople comparing face models and makeup models roles

Face models primarily focus on showcasing facial features for various media, requiring minimal credentials. Makeup models, on the other hand, are used to display makeup products and techniques. Both roles are common in fashion and beauty industries, often overlapping in photo shoots and campaigns. Understanding these differences helps individuals identify the right modeling path based on their appearance and career goals.

What are the requirements for a face model?

Face models typically need clear, symmetrical facial features, good skin condition, and a versatile appearance to suit various projects. No formal education is required, but a professional portfolio or headshots are often necessary to demonstrate suitability. Physical fitness and the ability to follow directions are also important for fitting and photo sessions.

How do you get into face modeling?

To become a face model, individuals typically build a portfolio with professional photographs that showcase their facial features, often working with photographers or agencies. Having clear skin, symmetrical features, and good skin care are important, and some models may need to attend casting calls or sign with a modeling agency to find opportunities.
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What states have the most Face Models jobs?

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Face Models jobs near you
Infographic showing various Face Models job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $95,086 per year, or $45.7 per hour.

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

Didit (YC W26)

San Francisco, CA • On-site

Full-time

Re-posted 25 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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