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Face Modeling Jobs in Raleigh, NC (NOW HIRING)

Manager, Data & AI Strategy

Durham, NC · On-site

$122K - $143K/yr

... model design, and enterprise transformation. This role acts as the face of the engagement-directing teams, leading workshops, and guiding clients from initial problem definition through to clear ...

Join Our Team at Synergy Face + Body Plastic Surgeon Opportunity | Raleigh, North Carolina Synergy ... This integrated model has consistently supported surgical growth by creating a natural pathway for ...

Join Our Team at Synergy Face + Body Plastic Surgeon Opportunity | Raleigh, North Carolina Synergy ... This integrated model has consistently supported surgical growth by creating a natural pathway for ...

... examples using models like Hugging Face or APIs like OpenAI, Anthropic). • Proficiency in Microsoft environments (Visual Studio, VS Code) and cloud services (AWS, Azure) for scalable AI ...

As a doctor-owned model, we understand the daily challenges you face and strive to help your practice run efficiently while you focus on your patients. Join us in our mission to deliver top-notch ...

Instead, you serve as the company's public face and the vital link connecting communities with ... model tied to appointments and successful closings. This is a full-fledged career path, not just a ...

Virtual Middle School Teacher

Raleigh, NC · On-site

$47K - $59K/yr

Travel to support required face to face state testing annually * Perform other duties as assigned ... models such as career-technical education, sports training, bilingual programming, and more. We ...

New

Battery Marketer

Raleigh, NC · On-site

$17.50/hr

As the face of the company in the field, you'll build strong customer relationships, and identify ... Clean, late-model company Platinum transit van. * Sales incentives, contests, and proven customer ...

Showing results 21-40

Face Modeling information

See Raleigh, NC salary details

$21

$39

$74

How much do face modeling jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for face modeling in Raleigh, NC is $39.21, according to ZipRecruiter salary data. Most workers in this role earn between $30.38 and $42.31 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 Raleigh, NC? For Face Modeling jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Face Modeling jobs in Raleigh, NC look for? The top searched job categories for Face Modeling jobs in Raleigh, NC are:
Infographic showing various Face Modeling job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $81,549 per year, or $39.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Raleigh, NC • On-site

Other

Re-posted 20 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.