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Model Job Jobs in Roxboro, NC (NOW HIRING)

Duke University

Associate in Research

Durham, NC

Wenpin Hou and her research team to develop computational models that analyze single-cell multi-omics and perturbation datasets. Your work will contribute to cutting-edge projects at the intersection ...

The Forest at Duke

CNA Care Partner

Durham, NC · On-site

$24/hr

Care partners in a small house model are empowered, cross-trained professionals who function as versatile caregivers, deeply engaging in the daily lives of residents and building relationships in ...

DataAnnotation

FP&A Manager - AI Trainer

Durham, NC · Remote

$50 - $60/hr

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced ...

DataAnnotation

Financial Planner - AI Trainer

Durham, NC · Remote

$50 - $60/hr

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced ...

DataAnnotation

Treasury Analyst - AI Trainer

Durham, NC · Remote

$50 - $60/hr

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced ...

DataAnnotation

M&A Associate - AI Trainer

Durham, NC · Remote

$50 - $60/hr

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced ...

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$9

$27

$58

How much do model job jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for model job in Roxboro, NC is $27.59, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $34.47 per hour, depending on experience, location, and employer.

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

To thrive as a Model, you need physical fitness, strong posing ability, and an understanding of fashion trends, often supported by a professional portfolio and occasional agency representation. Familiarity with industry tools such as digital comp cards, booking platforms, and photo-editing software is commonly required. Excellent communication, confidence, and adaptability are vital soft skills for building relationships and handling diverse assignments. These skills are essential to maintain professionalism, secure bookings, and succeed in the highly competitive modeling industry.

Is 25 too old to start modeling?

Modeling is a flexible industry with opportunities for all ages, and starting at 25 is not too old. Many agencies and clients seek diverse looks and experiences, and success depends on factors like appearance, portfolio, and networking rather than age alone.

What is the difference between Model Job vs Data Analyst?

AspectModel JobData Analyst
Required CredentialsTypically requires a degree in modeling, statistics, or related field; certifications in modeling software are commonRequires a degree in statistics, mathematics, or related field; certifications in data analysis tools are beneficial
Work EnvironmentOften in design studios, fashion houses, or marketing agenciesPrimarily in offices, corporate settings, or consulting firms
Employer & Industry UsageUsed in fashion, advertising, and marketing industriesUsed across finance, healthcare, marketing, and technology sectors

While both Model Jobs and Data Analysts work with data and visuals, Model Jobs focus on physical presentation and fashion modeling, whereas Data Analysts interpret data to inform business decisions. The roles differ in credentials, work environment, and industry application, but both require analytical skills and industry-specific knowledge.

How do you get a job as a model?

To become a model, individuals typically build a portfolio of professional photos, gain experience through local or online casting calls, and seek representation from a modeling agency. Physical appearance, confidence, and good communication skills are important, along with understanding industry standards and maintaining a healthy lifestyle.

What kind of jobs do models do?

Models perform jobs such as showcasing clothing, accessories, or products in photoshoots, runway shows, and advertisements. They need to have good physical appearance, posing skills, and often work on a flexible schedule in studios or on location. Types of modeling include fashion, commercial, fitness, and runway modeling.

What are some common challenges that professional models face when working with different clients and photographers?

Professional models often work with a variety of clients and photographers, each with their own creative vision and communication style. A common challenge is adapting quickly to different expectations and directions during shoots, which requires flexibility and strong interpersonal skills. Models may also encounter long or irregular hours, last-minute changes, and the need to maintain energy and professionalism throughout. Building resilience, maintaining a positive attitude, and being open to feedback are key to navigating these situations successfully.

What jobs can you do as a model?

As a model, you can work in fashion, commercial, runway, editorial, fitness, plus-size, and promotional modeling. These roles often require specific skills such as posing, walking, and understanding industry standards, and may involve photoshoots, runway shows, or brand promotions. Opportunities can vary based on experience, appearance, and market demand.

What are model jobs?

Model jobs refer to professional assignments in which individuals, known as models, showcase clothing, products, or services for advertisements, fashion shows, catalogs, or other media. Models work for designers, brands, or agencies and may appear in print, digital, or live events. The job can include runway modeling, commercial modeling, editorial shoots, and promotional work. Success in model jobs often depends on meeting specific appearance standards, maintaining a professional attitude, and building a strong portfolio.
Model Job jobs near you
Senior Platform Engineer, Data & AI Infrastructure

Senior Platform Engineer, Data & AI Infrastructure

McKinney

Durham, NC • On-site

$140K - $160K/yr

Full-time

Re-posted 4 days ago

Job description

Purpose
We're looking for a backend-leaning, Senior, Full Stack Engineer who will build AI-powered platforms, tools, and workflows that create value for our clients and empower our creative, strategy, operations, and account teams.
You'll design and build backend services, data-centric components, and internal tools, with a strong focus on Python and modern cloud infrastructure. You will be hands-on with integrating large language models (LLMs) and other AI capabilities into real products, from early design through deployment, monitoring, and iteration.
Ideal Candidate
  • You're a strong backend-focused engineer who thinks in terms of systems, data models, and APIs.
  • You're comfortable hopping into simple frontend tasks when needed.
  • Enjoys collaborating closely with cross-functional partners.
  • You can translate requirements into scalable software that balances speed, quality, and reliability.
  • You're curious about AI and other emerging technology and excited to integrate them responsibly into real products.
  • You take ownership of products, from design through deployment and maintenance.

Responsibilities
  • Design, build and maintain backend services and APIs primarily in Python (FastAPI/Starlette), emphasizing clean design, performance, and reliability.
  • Model data and write high-quality SQL (primarily in BigQuery); use document databases (e.g., Firestore, MongoDB) where appropriate.
  • Build, harden, and operate containerized services: author Dockerfiles (multi-stage), manage image versions in Artifact Registry, and enforce container security/scanning.
  • Deploy on GCP with Cloud Run and Compute Engine; leverage Secret Manager, Artifact Registry, Cloud Build/Deploy, and Cloud Monitoring/Logging; Kubernetes familiarity is a plus.
  • Integrate LLM/AI capabilities with an agentic approach (tool/function calling, multi-step orchestration/planning, retrieval/RAG, and memory) using providers such as OpenAI, Anthropic, and Google Gemini, as well as open-weight models; implement evaluation, safety, and guardrails.
  • Utilize our enterprise AI platform (Abacus.ai) that provides unified access to multiple language, image, and short-form video models, plus prompt/version management, safety, and analytics; help define reusable patterns and abstractions for it across products.
  • Collaborate with data partners on ELT pipelines; use BigQuery and Dataform for transformations and analytics use cases.
  • Define and version API contracts (REST/GraphQL); document systems and interfaces.
  • Apply security and privacy best practices (authn/z, IAM least-privilege, secret handling, input validation, rate limiting).
  • Establish observability (metrics, logs, traces) and conduct performance tuning; participate in pragmatic on-call as needed.
  • Write tests (unit/integration/e2e); maintain CI/CD pipelines; conduct code reviews; mentor junior engineers

Professional Skills
  • Strong experience building backend services and APIs in Python (any modern web framework)
  • Experience with document databases (e.g., Firestore, MongoDB).
  • Containers & CI/CD: Docker/OCI image authoring, multi-stage builds, image scanning/SBOMs, Artifact Registry; automated builds and deployments.
  • Cloud: GCP first (Cloud Run and Compute Engine; Secret Manager, Artifact Registry, Cloud Build/Deploy, Monitoring/Logging); Kubernetes familiarity welcome; equivalent AWS/Azure experience acceptable.
  • AI/LLM: Agentic architectures (tool/function use, multi-step orchestration, retrieval/RAG, planners, memory), evaluation/guardrails/safety; experience with OpenAI, Anthropic, Google Gemini, and open-weight models; familiarity with enterprise AI platforms that unify access to multiple model types.
  • APIs & Services: REST/GraphQL, schema/versioning, authentication/authorization.
  • Reliability: Testing (Pytest or similar), observability, performance tuning.
  • Frontend: Able to handle simple UI needs using modern web technologies; framework agnostic.
  • Process: Git-based workflows and agile practices.

Competencies
  • Communicates and collaborates effectively with creative, operations, strategy, and data partners.
  • Outcome-oriented problem solving; balances speed, quality, and security.
  • Ownership and accountability; follows through and documents decisions.
  • Growth mindset; receptive to feedback and continuous learning.
  • Uses AI assistants responsibly with validation: evaluates outputs critically, adds tests, and adapts code to team conventions before submission.

Experience
  • 4+ years of professional software engineering with a backend focus.
  • Proven and demonstrable experience building Python (FastAPI/Starlette) services and APIs for cloud deployment (GCP preferred).
  • Hands-on SQL experience in BigQuery; document database experience; Dataform exposure is a plus.
  • Prior experience integrating LLMs in an agentic manner into production apps or adjacent ML systems.

Salary Range
Our estimated range for this role is $140k - $160k
Compensation packages are based on the skill level and experience each candidate brings to their role. There may also be a more senior or junior position available that could be a better fit with your expertise. Each level has its own compensation range.
We pride ourselves on competitive salaries, and ensuring pay equity exists across our organization. We benchmark each position against existing employee competencies and 4As compensation data which includes geographic and agency size benchmarks. We also meet with department leaders 3x/year to ensure we are supporting employees in living into their full potential. Our promotions are not limited to a specific time per year. Promotions are tied to performance.
Right To Work In The US
You must be authorized to work in the US for any employer. At this time, we are not sponsoring or providing assistance with obtaining work authorization.
McKinney is a place where everyone can grow. Studies have shown that marginalized communities such as women, LGBTQ+ and people of color are less likely to apply to jobs unless they meet every single qualification. However you identify, and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day.
We are in the office Tuesday/Wednesday/Thursday on a hybrid schedule. We look forward to meeting you!
About McKinney
McKinney is a creative agency that gets unfair attention for brands. In 2024, McKinney was named to Fast Company's Best Workplaces for Innovators list, as well as Ad Age's A-List and its list of Best Places to Work (2024 and 2025), reinforcing the agency's commitment to providing an exceptional workplace culture where employees thrive, and creativity flourishes. McKinney Health, the agency's Pharma and Wellness practice, launched in 2022, was named to MM+M Magazine's 2024 Agency 100 list. A Certified B Corporation, McKinney is part of the Cheil Worldwide network and has offices across the country, including Durham, New York, Los Angeles, Dallas, Phoenix, and Toronto. McKinney has been recognized by Cannes Lions, Effies, The One Show, D&AD, ANDY, CLIO, LIA, the Shortys, and The Webby Awards, among others. Client partners include brands such as Popeyes, Blue Diamond Growers, Little Caesars, Pampers, Henkel, Samsung, Indivior, Sherwin-Williams, Biogen and the Ad Council. For more information, visit mckinney.com.

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