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Fit Model Jobs in Merrick, NY (NOW HIRING)

Deloitte

Model Validation Consultant

New York, NY · On-site

Execute fit-for-purpose validation plans, including testing, documentation, and traceability requirements aligned to broader AI risk management processes. * Assess model design choices, data ...

New

FIT CLUB INC

Physical Therapist Assistant

Brooklyn, NY

$40 - $55/hr

Positive, team-first attitude with strong communication skills Why Fit Club * One-on-one care model * Gym-based environment with high-level equipment * Active, motivated patient population * Team ...

FIT CLUB INC

Physical Therapist Assistant

Brooklyn, NY · On-site

$40 - $55/hr

Positive, team-first attitude with strong communication skills Why Fit Club * One-on-one care model * Gym-based environment with high-level equipment * Active, motivated patient population * Team ...

FIT CLUB INC

Physical Therapist Assistant

Brooklyn, NY · On-site

$40 - $55/hr

Positive, team-first attitude with strong communication skills Why Fit Club * One-on-one care model * Gym-based environment with high-level equipment * Active, motivated patient population * Team ...

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Showing results 21-40

All JobsFit Model JobsFit Model Jobs in Merrick, NY

Fit Model information

See Merrick, NY salary details

$30

$53

$98

How much do fit model jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for fit model in Merrick, NY is $53.43, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $98.46 per hour, depending on experience, location, and employer.

What is a fit model?

A Fit Model, or Fitting Model, helps clothing designers in the initial stages of garment design. As a Fit Model, your responsibilities include communicating with the designers and manufacturers about how the clothing fits and how the fabric feels, providing feedback about potential adjustments. You also must maintain your weight and measurements so that you provide a consistent form for the designers. A Fit Modeling job is generally much longer than other model work, like photo shoots and fashion shows. It can take a long period of time to perfect garments, requiring you to make ongoing visits to the designer.

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

To thrive as a Fit Model, you need to maintain specific body measurements that match industry sample sizes and possess a basic understanding of garment construction and fit. Familiarity with sizing charts, fitting procedures, and sometimes experience with 3D body scanning tools are typically required. Professionalism, reliability, and the ability to provide clear, constructive feedback are vital soft skills that set successful fit models apart. These skills and qualities are essential to ensure accurate garment sizing, effective communication with design teams, and the overall quality of fashion products.

What are the typical challenges a fit model faces during fittings, and how can they be addressed?

Fit Models often encounter challenges such as standing for long periods, maintaining consistent body measurements, and providing clear feedback to designers. It's important to communicate comfort and mobility concerns honestly, as this helps the design team make necessary adjustments. Additionally, Fit Models may need to adapt to varying schedules and work with multiple brands, requiring flexibility and professionalism. Staying fit, following a healthy lifestyle, and building strong communication skills can help address these challenges and ensure a successful career in this role.

What is the difference between Fit Model vs Pattern Maker?

AspectFit ModelPattern Maker
Required CredentialsNone mandatory, but fashion or apparel knowledge helpfulTechnical skills, fashion design or pattern-making certifications often preferred
Work EnvironmentClothing fitting sessions in design studios or manufacturing facilitiesDesign studios, manufacturing plants, or pattern development rooms
Employer & Industry UsageFashion brands, apparel companies, clothing manufacturersFashion houses, apparel companies, pattern development firms

While both Fit Models and Pattern Makers work closely in the apparel industry, Fit Models primarily participate in fitting sessions to evaluate garment fit and sizing, whereas Pattern Makers create the patterns used to produce garments. Fit Models focus on body measurements and fitting feedback, while Pattern Makers translate design concepts into technical patterns. Both roles are essential in the clothing development process but serve different functions within the industry.

How much does a fit model get paid?

Fit models typically earn between $15 and $50 per hour, depending on experience, the complexity of the samples, and the company. Payments can also be structured as daily or session rates, especially for freelance or part-time work, and fitting sessions usually require good communication skills and attention to detail.
More about Fit Model jobs

What cities near Merrick, NY are hiring for Fit Model jobs?

Cities near Merrick, NY with the most Fit Model job openings:

Fit Model jobs near you
Infographic showing various Fit Model job openings in Merrick, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $111,134 per year, or $53.4 per hour.

Model Validation Consultant

Deloitte

New York, NY • On-site

Full-time

Posted 3 days ago

New

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

Regulatory & Financial Risk - Consultant - Model Validation

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Model Validation Consultant within Regulatory & Financial Risk, you will support model validation work for AI, Generative AI (GenAI), and Agentic AI solutions across client engagements. You will execute validation activities, contribute to documentation and testing, and help teams assess model risk management practices and responsible AI deployment across industries such as Financial Services, Life Sciences, and Technology, Media, and Telecom.

Responsibilities include

  • Support end-to-end validation of AI, GenAI, and Agentic AI solutions, from initial review of objectives and data through production readiness and ongoing monitoring.
  • Execute fit-for-purpose validation plans, including testing, documentation, and traceability requirements aligned to broader AI risk management processes.
  • Assess model design choices, data suitability, assumptions, limitations, and intended use through structured review and testing.
  • Evaluate model performance and stability using appropriate methods such as benchmarking, back-testing where applicable, sensitivity testing, stress testing, error analysis, and scenario-based evaluation.
  • Support validation of GenAI and Agentic AI behaviors and controls, including response quality evaluation, hallucination and grounding checks for retrieval-augmented generation (RAG), prompt and tool-use testing, guardrails, escalation paths, and audit logging.
  • Assess trustworthiness considerations and document observations related to bias and fairness, explainability, robustness, privacy, security, and operational controls.
  • Contribute to automated processes for model validation, monitoring, and reporting, including test harnesses, evaluation pipelines, and documentation templates.
  • Contribute to project workplans by tracking tasks, identifying risks, and supporting timely delivery of assigned work.
  • Prepare clear summaries of validation findings and support development of materials for client stakeholders.
  • Collaborate with specialists across Deloitte to strengthen validation approaches and stay current on emerging AI methodologies.

Qualifications

Required:

  • Undergraduate degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a related field
  • 2+ years of experience using Python to develop, test, and maintain code
  • 2+ years of experience working with Generative AI frameworks and components such as Hugging Face, OpenAI APIs, Llama models, Gemini, Claude, Granite, retrieval-augmented generation (RAG), or Stable Diffusion
  • 1+ years of experience working with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI
  • 2+ years of experience using at least 1 deep learning framework such as PyTorch or TensorFlow/KerasExperience building, testing, or deploying AI solutions on AWS, Azure, or GCP
  • Experience with containerization tools such as Docker or Kubernetes
  • Understanding of machine learning and deep learning methods, performance assessment, and model validation
  • Limited immigration sponsorship may be available
  • Ability to travel up to 15%, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Master's degree
  • Industry experience in Financial Services, Life Sciences, or Technology, Media, and Telecom
  • Experience with JavaScript
  • Experience supporting GenAI or Agentic AI solutions in production
  • Understanding of AI, GenAI, and Agentic AI risks, bias, mitigation approaches, and responsible use
  • Experience with deep learning model training

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

For individuals assigned and/or hired to work in Washington State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Washington State and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Regulatory & Financial Risk - Consultant - Model Validation

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Model Validation Consultant within Regulatory & Financial Risk, you will support model validation work for AI, Generative AI (GenAI), and Agentic AI solutions across client engagements. You will execute validation activities, contribute to documentation and testing, and help teams assess model risk management practices and responsible AI deployment across industries such as Financial Services, Life Sciences, and Technology, Media, and Telecom.

Responsibilities include

  • Support end-to-end validation of AI, GenAI, and Agentic AI solutions, from initial review of objectives and data through production readiness and ongoing monitoring.
  • Execute fit-for-purpose validation plans, including testing, documentation, and traceability requirements aligned to broader AI risk management processes.
  • Assess model design choices, data suitability, assumptions, limitations, and intended use through structured review and testing.
  • Evaluate model performance and stability using appropriate methods such as benchmarking, back-testing where applicable, sensitivity testing, stress testing, error analysis, and scenario-based evaluation.
  • Support validation of GenAI and Agentic AI behaviors and controls, including response quality evaluation, hallucination and grounding checks for retrieval-augmented generation (RAG), prompt and tool-use testing, guardrails, escalation paths, and audit logging.
  • Assess trustworthiness considerations and document observations related to bias and fairness, explainability, robustness, privacy, security, and operational controls.
  • Contribute to automated processes for model validation, monitoring, and reporting, including test harnesses, evaluation pipelines, and documentation templates.
  • Contribute to project workplans by tracking tasks, identifying risks, and supporting timely delivery of assigned work.
  • Prepare clear summaries of validation findings and support development of materials for client stakeholders.
  • Collaborate with specialists across Deloitte to strengthen validation approaches and stay current on emerging AI methodologies.

Qualifications

Required:

  • Undergraduate degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a related field
  • 2+ years of experience using Python to develop, test, and maintain code
  • 2+ years of experience working with Generative AI frameworks and components such as Hugging Face, OpenAI APIs, Llama models, Gemini, Claude, Granite, retrieval-augmented generation (RAG), or Stable Diffusion
  • 1+ years of experience working with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI
  • 2+ years of experience using at least 1 deep learning framework such as PyTorch or TensorFlow/KerasExperience building, testing, or deploying AI solutions on AWS, Azure, or GCP
  • Experience with containerization tools such as Docker or Kubernetes
  • Understanding of machine learning and deep learning methods, performance assessment, and model validation
  • Limited immigration sponsorship may be available
  • Ability to travel up to 15%, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Master's degree
  • Industry experience in Financial Services, Life Sciences, or Technology, Media, and Telecom
  • Experience with JavaScript
  • Experience supporting GenAI or Agentic AI solutions in production
  • Understanding of AI, GenAI, and Agentic AI risks, bias, mitigation approaches, and responsible use
  • Experience with deep learning model training

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

For individuals assigned and/or hired to work in Washington State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Washington State and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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