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Face Model Jobs in Raleigh, NC (NOW HIRING)

Senior AI Systems Engineer

Raleigh, NC ยท On-site

$92K - $126K/yr

Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain. * Experience with model serving, inference optimization, or AI ...

LangChain, LlamaIndex, Azure OpenAI, Hugging Face. * Knowledge of reinforcement learning, computer vision, or multimodal AI. * Experience with prompt engineering or model evaluation frameworks.

Support design and implementation of new intercompany business models related to IP ownership ... Those face to face conversations will involve a description of the job for which you have applied.

Support design and implementation of new intercompany business models related to IP ownership ... Those face to face conversations will involve a description of the job for which you have applied.

Support system and master data setup to allow execution of intercompany business models and ... Those face to face conversations will involve a description of the job for which you have applied.

Support design and implementation of new intercompany business models related to IP ownership ... Those face to face conversations will involve a description of the job for which you have applied.

Media Sales Representative

Raleigh, NC ยท On-site

$150K - $250K/yr

As an independent contractor, you'll execute face-to-face marketing pitches. You'll offer a top-of ... Unlike traditional 'hunt-and-kill' sales roles, our commission model is cumulative. Most achieve:

As an independent contractor, you'll execute face-to-face marketing pitches. You'll offer a top-of ... Unlike traditional 'hunt-and-kill' sales roles, our commission model is cumulative. Most achieve:

As an independent contractor, you'll execute face-to-face marketing pitches. You'll offer a top-of ... Unlike traditional 'hunt-and-kill' sales roles, our commission model is cumulative. Most achieve:

Media Sales Representative

Durham, NC ยท On-site

$150K - $250K/yr

As an independent contractor, you'll execute face-to-face marketing pitches. You'll offer a top-of ... Unlike traditional 'hunt-and-kill' sales roles, our commission model is cumulative. Most achieve:

As an independent contractor, you'll execute face-to-face marketing pitches. You'll offer a top-of ... Unlike traditional 'hunt-and-kill' sales roles, our commission model is cumulative. Most achieve:

As an independent contractor, you'll execute face-to-face marketing pitches. You'll offer a top-of ... Unlike traditional 'hunt-and-kill' sales roles, our commission model is cumulative. Most achieve:

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Showing results 1-20

Face Model information

See Raleigh, NC salary details

$10

$30

$65

How much do face model jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for face model in Raleigh, NC is $30.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $38.08 per hour, depending on experience, location, and employer.

What are some common challenges face models encounter during photo shoots and how can they prepare for them?

Face models often face challenges such as maintaining consistent expressions for extended periods, adapting to different lighting setups, and following precise directions from photographers. Shoots can involve long hours and frequent makeup changes, which may require patience and skin care diligence. To prepare, face models should practice various facial expressions in front of a mirror, stay updated on skincare routines, and develop strong communication skills to understand and execute creative direction efficiently.

What is the difference between Face Model vs Makeup Artist?

AspectFace ModelMakeup Artist
Required CredentialsNo formal certification typically requiredProfessional training or certification often preferred
Work EnvironmentPhoto shoots, fashion shows, advertisingSalons, studios, events, photoshoots
Industry UsageFashion, advertising, beauty campaignsBeauty, fashion, special events
Search & Comparison IntentUnderstanding modeling roles, career infoBeauty services, makeup techniques

Face Models primarily focus on showcasing facial features for fashion and advertising without requiring formal makeup skills. Makeup Artists, on the other hand, specialize in applying makeup to enhance appearance, often working in salons or on set. While both roles are involved in the beauty and fashion industry, their skills, credentials, and work environments differ significantly.

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 clear skin, symmetrical features, photogenic qualities, and often prior modeling experience or a professional portfolio. Familiarity with posing techniques, makeup application, and sometimes experience using booking platforms or agency submission systems is beneficial. Confidence, adaptability, and the ability to take direction well are critical soft skills for standing out in this competitive field. These skills ensure you can represent brands effectively, maintain a professional reputation, and succeed in diverse photo shoots and campaigns.

What are face models?

Face models are individuals who are hired primarily for the appearance and expressiveness of their facial features, rather than their full body. They are often used in photography, advertising, cosmetics, skincare promotions, and sometimes in art or medical fields to showcase products or demonstrate facial expressions. Face models need to maintain clear skin, expressive features, and the ability to convey various emotions through their facial expressions. This specialized modeling can be both freelance and agency-represented, with jobs ranging from print advertisements to high-profile beauty campaigns.

Senior AI Systems Engineer

ARA

Raleigh, NC โ€ข On-site

$92K - $126K/yr

Full-time

Posted 5 days ago


Job description

Essential Functions:
  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:
  • Bachelor's degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience.
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:
  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance - Active or Inactive

Education:
  • Bachelor's degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.