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In Modeling Jobs in Atlanta, MI (NOW HIRING)

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In Modeling information

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$20

$36

$70

How much do in modeling jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for in modeling in Atlanta, MI is $36.94, according to ZipRecruiter salary data. Most workers in this role earn between $28.61 and $39.86 per hour, depending on experience, location, and employer.

How do I start getting into modeling?

To start a career in modeling, build a professional portfolio with high-quality photos that showcase your look and versatility. Research reputable agencies, attend open casting calls, and consider developing skills such as posing and runway walking to increase your chances of getting signed and booked for jobs.

How much money do models make?

Models' earnings vary widely based on experience, market, and type of modeling. Entry-level models may earn a few hundred dollars per job, while top-tier models can make thousands or even millions annually through high-profile campaigns and runway shows. Income often depends on factors like portfolio quality, agency representation, and the number of assignments secured.

What is the difference between In Modeling vs Fashion Modeling?

AspectIn ModelingFashion Modeling
Required CredentialsPortfolio, agency representation, sometimes a modeling schoolPortfolio, agency representation, often fashion-specific training
Work EnvironmentPhoto shoots, runway shows, commercial shootsRunway shows, editorial shoots, fashion campaigns
Industry UsageBroadly used in various modeling sectorsPrimarily in fashion industry
Search & Comparison IntentUnderstanding different types of modeling careersFocusing on fashion-specific modeling roles

In Modeling refers to a broad category of modeling careers, including commercial, runway, and promotional work. Fashion Modeling is a specialized subset focused on runway shows, editorial shoots, and fashion campaigns. While both require portfolios and agency representation, fashion modeling often emphasizes industry-specific training and experience. Understanding these differences helps aspiring models choose the right path based on their goals and skills.

What are some typical challenges models face during photoshoots and runway events?

Models often encounter challenges such as adapting to rapidly changing environments, maintaining energy and focus during long hours, and following direction from photographers, stylists, and creative directors. They must also be able to quickly change outfits, poses, and expressions to meet the vision of the shoot or show. Strong communication skills and resilience are essential, as working collaboratively with large teams and handling constructive feedback are daily aspects of the role.

What does a modeling job involve?

A modeling job involves representing products, clothing, or concepts for companies, photographers, or designers, typically through photo shoots, runway shows, or advertising campaigns. Models use their appearance, poses, and expressions to help promote or sell products and ideas. The profession may require travel, maintaining a certain appearance, and working closely with creative teams. Modeling can be divided into different types such as fashion, commercial, fitness, and editorial modeling, each with its own requirements and opportunities.

Is 25 too late to start modeling?

In modeling, starting at age 25 is not too late, especially for commercial or plus-size modeling, where age is less restrictive. Success depends on factors like look, confidence, and professionalism, and many models begin their careers in their late twenties or later. Building a strong portfolio and networking can help new models enter the industry at any age.

Is 5'7" too short to model girl?

In modeling, height requirements vary by industry and market. While high fashion runway models often are 5'9" and taller, commercial and plus-size modeling have more flexible height standards, and 5'7" can be suitable for certain modeling niches with the right look and skills. Building a strong portfolio and understanding the specific market are important for success.

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 a strong physical presence, photogenic appearance, and understanding of posing and movement, often supported by a professional portfolio. Familiarity with industry tools such as booking platforms, comp cards, and sometimes experience with virtual modeling environments is beneficial. Confidence, professionalism, adaptability, and strong interpersonal communication are standout soft skills in this field. These abilities are crucial for meeting client expectations, maintaining a successful reputation, and securing ongoing work in a highly competitive industry.
What cities near Atlanta, MI are hiring for In Modeling jobs? Cities near Atlanta, MI with the most In Modeling job openings:
In Modeling jobs near you
Infographic showing various In Modeling job openings in Atlanta, MI as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $76,830 per year, or $36.9 per hour.
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S}

Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S}

Danbury Mission Technologies

Lewiston, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Danbury Mission Technologies is an advanced technologies company serving the U.S. military and intelligence community. The Principal AI/ML Engineer will support the development of AI/ML algorithms across various disciplines, leading a team to implement solutions for complex challenges.
Responsibilities:
• Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
• Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
• Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
• Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
• Build custom applications with LLM frameworks such as LangChain, DSPy
• Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
• Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
• Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
• Interface with both internal and external leadership to communicate technical status
Qualifications:
Required:
• BS in machine learning, computer science, mathematics, or related fields.
• 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
• Fine-tuning foundational models
• Steering Techniques (e.g Sparse auto encoders, representation tuning)
• Building adapters to use foundational models (e.g. PEFT, llama factory)
• Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
• Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
• Using LLM Frameworks (e.g. LangChain, DSPy)
• Using AI APIs ( e.g AWS Bedrock, OpenAI)
• Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
• Developing UIs with ReAct
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
• Active TS/SCI U.S. Government Security Clearance
Preferred:
• MS or PhD in machine learning, computer science, mathematics, or related fields.
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following Computer Vision domains:
• Large Language Models and experience identifying ways to incorporate them into new areas and applications
• Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
• Object detection algorithms such as YOLO and Faster-RCNN
• Natural Language Processing algorithms such as BERT
• Generative Adversarial Networks and Variational Autoencoders
• Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
• Applying clustering algorithms and/or deep neural networks to real life problems
• Implementing tracking and pattern-of-life algorithms
• Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
• Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
• Experience with Linux
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
• Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
• Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
• Experience with implementing tracking and pattern-of-life algorithms
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
• Experience shaping and writing proposals
Company:
This page is no longer active. Visit ARKA.org. Founded in , the company is headquartered in Danbury, Connecticut, US, , with a team of 501-1000 employees. The company is currently Late Stage.

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