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Modelling Jobs in Ohio (NOW HIRING)

Software Technology Inc

AWS Cloud Engineer

Cincinnati, OH · On-site

$53.50 - $71.50/hr

... modelling, and advanced analytics. Candidate does not have to be an expert in data and analytics but must be willing to learn these areas. * Participate in all aspects of the software development ...

Diverse Lynx

Salesforce Architect

Milford, OH · On-site

$60 - $74.25/hr

Hands-on expertise in Salesforce Data Cloud (CDP), data modelling, ingestion pipelines, and architecture design. * Strong proficiency in Apex, Lightning (LWC), integrations (REST/SOAP), and ...

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All JobsModelling JobsModelling Jobs in Ohio

Modelling information

See Ohio salary details

$46

$70

$90

How much do modelling jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for modelling in Ohio is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $63.99 and $80.19 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, a strong portfolio, and an understanding of the fashion or commercial industry, often supported by agency representation or professional training. Familiarity with photo shoot protocols, posing techniques, and sometimes digital tools for virtual castings or portfolio management is important. Confidence, adaptability, and strong interpersonal skills help models build relationships and respond professionally to direction. These skills and qualities are crucial for consistently delivering the desired image, maintaining professionalism, and succeeding in a competitive industry.

How to be a face model?

To become a face model, you should maintain clear, healthy skin and a versatile look that suits various brands. Building a professional portfolio with high-quality photos, networking with agencies, and attending castings or open calls are essential steps in establishing a modeling career focused on facial features.

What are some of the common challenges faced by professional models, and how can they prepare for them?

Professional models often encounter challenges such as maintaining a healthy work-life balance, dealing with irregular schedules, and adapting to varying client expectations. Additionally, models may work in fast-paced environments where adaptability and resilience are key. To prepare, it's helpful to develop strong time management skills, maintain a supportive network, and stay proactive in personal health and self-care. Building good relationships with agencies and consistently updating one's portfolio also contribute to ongoing career success.

What is the difference between Modelling vs Data Analysis?

AspectModellingData Analysis
Required credentialsStatistics, mathematics, or related degrees; often certifications in modelling techniquesStatistics, data science, or related degrees; certifications in data analysis tools
Work environmentFinancial, engineering, or scientific sectors; focus on creating predictive modelsBusiness, marketing, or research sectors; focus on interpreting data sets
Employer usageFinancial institutions, engineering firms, scientific researchCorporations, marketing agencies, research organizations
Common search intentUnderstanding predictive modelling techniques and careersInterpreting data insights and reporting

Modelling involves creating mathematical or statistical models to predict future outcomes, often requiring advanced quantitative skills. Data analysis focuses on examining data sets to extract meaningful insights, emphasizing interpretation and reporting. While both roles require analytical skills, modelling is more predictive and technical, whereas data analysis is more descriptive and interpretive.

Is 25 too late to model?

Modeling is a career that can be pursued at any age, including at 25. Success often depends on factors such as look, confidence, and professionalism, rather than age alone. Many models start in their mid-20s or later and build successful careers with the right portfolio and networking.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or auditions. Having a good understanding of industry standards, maintaining a healthy appearance, and developing relevant skills like posing and runway walking can improve chances of success.

How much money do models make?

Modeling salaries vary widely based on experience, type of modeling, and market demand. Top fashion models can earn millions annually, while beginner or freelance models may earn a few hundred dollars per day or per assignment. Income often depends on factors such as portfolio quality, agency representation, and the number of bookings.

What is modelling?

Modelling is a profession where individuals, known as models, pose or display products, clothing, or accessories for advertising, promotional, or artistic purposes. Models work in a variety of settings, including fashion shows, print advertisements, commercials, and digital media. The field includes different types of modelling such as fashion, commercial, fitness, and runway modelling, each with its own requirements and expectations. Models collaborate with photographers, designers, and brands to help visually communicate ideas or sell products. Success in modelling often requires a combination of physical attributes, professionalism, and the ability to express emotions or concepts through poses and expressions.
What are the most commonly searched types of Modelling jobs in Ohio? The most popular types of Modelling jobs in Ohio are:
What cities in Ohio are hiring for Modelling jobs? Cities in Ohio with the most Modelling job openings:
Modelling jobs near you
Infographic showing various Modelling job openings in Ohio as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $145,731 per year, or $70.1 per hour.
AWS Cloud Engineer

AWS Cloud Engineer

Software Technology Inc

Cincinnati, OH • On-site

$53.50 - $71.50/hr

Other

Posted 14 days ago

Job description

Sr. AWS Cloud DevOps Engineer

Our client is looking for a Senior AWS Cloud DevOps Engineer. This is an exciting opportunity with an outstanding organization.

What you will be doing:

  • Leading the implementation of Cloud tools and Technologies.
  • Develop and implement technical efforts to design, build, and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modelling, and advanced analytics. Candidate does not have to be an expert in data and analytics but must be willing to learn these areas.
  • Participate in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
  • Troubleshoot incidents, identify root cause, fix and document problems, and implement preventive measures
  • Educate teams on the implementation of new cloud-based initiatives, providing associated training as required
  • Employ exceptional problem-solving skills, with the ability to see and solve issues before they affect business productivity

What you bring:

  • 5+ years of experience architecting, designing, developing, and implementing cloud solutions on AWS platforms especially EKS
  • Experience with modern DevOps tooling (e.g. Terraform, Jenkins, Ansible, Docker, Kubernetes)
  • Understanding of and experience with the five pillars of a well-architected frameworks
  • Understanding of the value of automation, Continuous Integration and Continuous Delivery
  • Proven ability to collaborate with multi-disciplinary teams of business analysts, developers, data scientists, and subject matter experts

Added bonus if you have:

  • Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics
  • Experience in DevSecOps practices
  • Experience of big data pipelines and orchestration tools (e.g. Airflow, DBT, Jenkins)

Must Have:

  • Strong awareness of networking and internet protocols, including TCP/IP, DNS, SMTP, HTTP and distributed networks – Is a must.
  • DevOps Experience – Terraform/Jenkins is a must
  • Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.
  • Experience with Docker orchestration and Docker containerization using Kubernetes.

Apply