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Part Time Modeling Jobs in Washington (NOW HIRING)

Part-time supervisor

Woodbridge, VA · On-site

$17.05 - $28.45/hr

You are responsible for modeling and coaching for the ultimate experience to all consumers through ... Full-Time & Part-Time Employees: Make a Difference: Paid volunteer hours & charity donation ...

Part-time supervisor

Woodbridge, VA · On-site

$17.05 - $28.45/hr

You are responsible for modeling and coaching for the ultimate experience to all consumers through ... Full-Time & Part-Time Employees: Make a Difference: Paid volunteer hours & charity donation ...

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Showing results 1-20

Part Time Modeling information

See Washington salary details

$25

$45

$86

How much do part time modeling jobs pay per hour?

As of May 30, 2026, the average hourly pay for part time modeling in Washington is $45.68, according to ZipRecruiter salary data. Most workers in this role earn between $35.38 and $49.28 per hour, depending on experience, location, and employer.

What is a Part Time Modeling job?

A part-time modeling job involves working as a model on a flexible or occasional basis rather than full-time. Models may participate in photoshoots, fashion shows, commercials, or promotional events while balancing other commitments like school or another job. Part-time modeling can be a great way to gain industry experience, build a portfolio, and earn extra income without a full-time commitment.

What are the key skills and qualifications needed to thrive in the Part Time Modeling position, and why are they important?

To thrive as a Part Time Model, you typically need a strong physical presence, confidence, and the ability to follow direction, with professional photos or portfolio work as a plus. Familiarity with modeling agencies, booking platforms, and basic posing or runway techniques are beneficial, though formal certification is not required. Reliability, excellent communication skills, and a positive, adaptable attitude help models build fruitful relationships with clients and agencies. These skills help ensure consistent bookings, professional work environments, and ongoing personal brand growth in a competitive industry.

What types of assignments or work schedules can I expect in a part-time modeling role?

Part-time modeling roles often involve a wide range of assignments, including photo shoots, fashion shows, promotional events, or commercial projects, depending on your experience and niche. Schedules are usually project-based, requiring flexibility, as work may be sporadic or on short notice, including evenings and weekends. It’s common to collaborate with photographers, stylists, and other creative professionals during each assignment. This structure provides an opportunity to gain experience with diverse clients and projects while balancing modeling with other commitments.
What are the most commonly searched types of Modeling jobs in Washington? The most popular types of Modeling jobs in Washington are:
What are popular job titles related to Part Time Modeling jobs in Washington? For Part Time Modeling jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Part Time Modeling jobs? Cities in Washington with the most Part Time Modeling job openings:
Infographic showing various Part Time Modeling job openings in Washington as of May 2026, with employment types broken down into 3% Locum Tenens, 1% Internship, 68% Full Time, 23% Part Time, 4% Temporary, and 1% Contract. Highlights an 49% Physical, 13% Hybrid, and 38% Remote job distribution, with an average salary of $95,020 per year, or $45.7 per hour.

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

TRIAEM, LLC

Sterling, VA

$105.50K - $144.90K/yr

Part-time

Posted 29 days ago


Job description


Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

Active TS/SCI Required
Location: Chantilly, Va or Springfield, Va

We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments.

This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications.

Key Responsibilities

  • Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments.
  • Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI).
  • Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments.
  • Advise Government stakeholders on strategic technical planning, performance engineering, and risk management.
  • Develop quantitative and qualitative metrics to ensure confidence and trust in AI models.
  • Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies.
  • Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows.
  • Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy.

Required Qualifications

  • Active TS/SCI clearance (required).
  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience).
  • Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E).
  • Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives.
  • Proficiency in programming languages such as Python, C++, MATLAB, R, or Java.
  • Experience developing engineering solutions leveraging AI, automation, and augmentation technologies.

Desired Qualifications

  • Experience supporting NGA or Intelligence Community programs.
  • Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments.
  • SAFe Agile and/or Model-Based Systems Engineering (MBSE).
  • Experience with Atlassian tools (JIRA, Confluence).
  • Experience working with structured and unstructured Big Data.