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Modeling Agent Jobs in Texas (NOW HIRING)

Omega Enterprises Inc

Sales Agent

Temple, TX · On-site

The Sales Agent will customarily and regularly be working at model homes, away from Omega's corporate offices. * Meets or exceeds monthly/annual sales goals * Maintains accurate records in the CRM ...

Jobtailor

Full Stack AI Engineer

Plano, TX · On-site

$120 - $165/hr

Exposure to, or strong interest in, integrating generative AI including large language models and agent frameworks into applications that serve users. * Familiarity with, or demonstrated interest in ...

New

LPL Financial

Principal AI Architect

Austin, TX · On-site

Model, Agent, Prompt, and Tool Registries * LLM Gateway and AI Access Layer * MCP and A2A Gateways * Audit, Monitoring, and Compliance Services * Design and govern the Data Access Layer for the AI ...

Omega Enterprises Inc

Sales Agent

Temple, TX · On-site

The Sales Agent will customarily and regularly be working at model homes, away from Omega's corporate offices. * Meets or exceeds monthly/annual sales goals * Maintains accurate records in the CRM ...

McKesson

Agent Tuner

Fort Worth, TX

This is a new role created as part of CxO's agentic service operating model and will help shape how agent tuning and knowledge curation scale through FY27 and beyond. Key Responsibilities AI ...

New

McKesson

Agent Tuner

Fort Worth, TX

This is a new role created as part of CxO's agentic service operating model and will help shape how agent tuning and knowledge curation scale through FY27 and beyond. Key Responsibilities AI ...

New

Collabera Digital

AI Engineer

Dallas, TX · On-site

Design and implement evaluation frameworks and automated evals to measure agent and model quality, accuracy, reliability, and performance. * Rapidly prototype new AI capabilities and turn successful ...

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Modeling Agent information

See Texas salary details

$13

$28

$37

How much do modeling agent jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for modeling agent in Texas is $28.09, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $36.97 per hour, depending on experience, location, and employer.

What is a modeling agent?

Modeling agents are professionals or agencies who represent models and help them find work in the fashion, commercial, and entertainment industries. They act as intermediaries between models and clients, such as designers, photographers, and advertisers, negotiating contracts and ensuring fair treatment. Modeling agents also guide models in building their portfolios, developing their careers, and navigating the industry's standards and expectations. Their expertise helps models secure job opportunities and advance professionally.

How does a modeling agent typically collaborate with models and clients to manage casting opportunities?

Modeling agents serve as the primary point of contact between models and clients, coordinating schedules, negotiating contracts, and ensuring all parties' needs are met. Agents often work closely with models to prepare them for castings, provide feedback on portfolios, and advise on professional development. They also maintain ongoing relationships with clients, such as fashion brands or advertising agencies, to match models with suitable opportunities. Effective communication and strong organizational skills are vital for managing these collaborations efficiently.

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

To thrive as a Modeling Agent, you need a deep understanding of the fashion and entertainment industries, talent scouting abilities, and strong negotiation skills, often supported by experience in marketing or business. Familiarity with client relationship management (CRM) software, digital portfolios, and contract management systems is typically required. Outstanding interpersonal skills, networking abilities, and adaptability help agents build lasting relationships with models, clients, and industry professionals. These skills ensure effective talent representation, successful placements, and sustained agency growth in a competitive market.

What is the difference between Modeling Agent vs Casting Director?

AspectModeling AgentCasting Director
CredentialsAgency affiliation, industry experienceIndustry experience, sometimes specific certifications
Work EnvironmentAgency offices, client meetingsAuditions, production sets, casting calls
Employer & Industry UsageModeling agencies, fashion, commercial industriesFilm, TV, theater, advertising
Search & Comparison IntentFinding representation, model opportunitiesFinding talent, organizing casting calls

Modeling Agents primarily represent models and connect them with clients, focusing on career management and bookings. Casting Directors, on the other hand, select talent for specific productions, overseeing auditions and casting processes. While both roles work within the entertainment and fashion industries, their responsibilities and environments differ significantly.

How do I get a modeling agent?

To get a modeling agent, you should build a professional portfolio, gain experience through local or online modeling opportunities, and research reputable agencies that represent models in your area. Submit your portfolio and comp card to agencies that align with your look and style, and attend open calls or auditions when invited. Having a good understanding of industry standards and maintaining a professional attitude can improve your chances of being signed.

How do you become a modeling agent?

To become a modeling agent, you typically need to gain experience in the fashion or entertainment industry, develop strong networking skills, and understand talent management. Many agents start by working at modeling agencies or in related roles, and some pursue relevant education in business, marketing, or fashion. Building a client base and understanding industry standards are essential for success in this role.
Modeling Agent jobs near you
Infographic showing various Modeling Agent job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $58,417 per year, or $28.1 per hour.

Senior Software Engineer, Simulation & World Models

Bot Auto

Houston, TX • On-site, Remote

Full-time

Re-posted 16 days ago

Job description

About the Role

We are building the next generation of autonomous trucking technology to make freight transportation safer, more efficient, and more scalable.

Our Simulation team develops the virtual environments, testing infrastructure, and AI-driven simulation systems that enable rapid development and validation of autonomous driving software. We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development.

We are seeking a software engineer with strong C++ expertise and a passion for building scalable simulation systems. This role offers the opportunity to work at the intersection of autonomous driving, simulation, robotics, and AI.

What You'll DoBuild Autonomous Driving Simulation Systems
  • Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation
  • Build scalable systems for scenario generation, simulation execution, and evaluation
  • Develop simulation tooling used by Perception, Prediction, Planning, and Controls teams
  • Improve simulation realism, scalability, and operational efficiency
  • Collaborate across teams to support testing, validation, and development workflows
Develop AI-Driven Simulation Capabilities
  • Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
  • Develop systems for synthetic data generation and automated scenario creation
  • Collaborate with ML engineers and researchers to integrate learned models into simulation environments
  • Explore emerging approaches in world modeling, agent simulation, and Physical AI
Engineering Excellence
  • Write production-quality C++ and Python code
  • Participate in architecture and technical design discussions
  • Build reliable, maintainable, and well-tested systems
  • Contribute to code reviews and engineering best practices
  • Create clear technical documentation for systems and tools
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
  • 3+ years of professional software development experience
  • Strong expertise in modern C++ (C++17 or newer preferred)
  • Experience designing and developing production software systems
  • Strong understanding of:
    • Multithreading and concurrency
    • Memory management
    • Performance optimization
    • Software architecture and system design
  • Experience working with simulation, robotics, gaming, or autonomous systems
Preferred Qualifications
  • Experience with simulation platforms such as:
    • CARLA
    • Isaac Sim
    • Unreal Engine
  • Familiarity with reinforcement learning concepts and workflows
  • Experience with agent-based simulation or closed-loop simulation systems
  • Experience building synthetic data generation pipelines
  • Experience with ROS or ROS2
  • Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
  • Familiarity with machine learning infrastructure and large-scale data processing systems
Nice to Have
  • Experience in autonomous driving or robotics applications
  • Experience with multi-agent simulation systems
  • Familiarity with world models, generative simulation, or Physical AI technologies
  • Experience with sensor simulation, including camera, lidar, or radar
  • Experience with physics engines and real-time systems
  • Experience with CUDA, OpenGL, Vulkan, or graphics programming
What We're Looking For
  • Strong software engineering fundamentals
  • Systems-thinking mindset and attention to detail
  • Curiosity about simulation, AI, robotics, and autonomous systems
  • Ability to work across simulation, infrastructure, and machine learning domains
  • Comfortable working in a fast-paced environment with evolving technical challenges
  • Passion for building the next generation of intelligent simulation platforms

Apply