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Temporary Bar Jobs in Washington (NOW HIRING)

Tycko & Zavareei LLP

Contract Attorney

Washington, DC · On-site

$45 - $55/hr

Independent Contractor / Temporary * Pay Rate: $45 - $55 per hour (depending on experience and ... Active bar admission in good standing in at least one U.S. jurisdiction. * Minimum 2-3 years of ...

Tycko and Zavareei LLP

Contract Attorney

Washington, DC · On-site

$45 - $55/hr

Independent Contractor / Temporary * Pay Rate: $45 - $55 per hour (depending on experience and ... Active bar admission in good standing in at least one U.S. jurisdiction. * Minimum 2-3 years of ...

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Temporary Bar information

What is a temporary bar staff?

Temporary bar staff are employees hired on a short-term basis to serve drinks, manage bar operations, and provide customer service at events, parties, or during busy periods at bars and restaurants. Their roles are similar to regular bartenders, but their contracts are typically limited to specific dates or events. Temporary bar staff may be employed directly by venues or through staffing agencies, and often require experience in hospitality or bartending. This flexibility is ideal for covering staff shortages or accommodating seasonal demand.

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

To thrive as a Temporary Bartender, you need strong knowledge of drink recipes, safe alcohol handling, and usually a food handler’s or alcohol server’s certification. Familiarity with point-of-sale (POS) systems, bar equipment, and inventory management tools is essential. Excellent customer service, adaptability, and the ability to work efficiently under pressure make someone stand out in this role. These skills ensure smooth bar operations, compliance with regulations, and a positive experience for customers in fast-paced environments.

What are some common challenges faced by temporary bar staff, and how can they be addressed?

Temporary bar staff often face challenges such as quickly adapting to new venues, learning different point-of-sale systems, and managing busy periods with unfamiliar coworkers. To address these challenges, it's important to communicate clearly with permanent staff, ask questions when unsure about procedures, and stay organized during shifts. Building strong customer service skills and being adaptable will help temporary bar staff succeed in diverse environments and make a positive impression for potential future opportunities.

What is the difference between Temporary Bar vs Temporary Bartender?

AspectTemporary BarTemporary Bartender
RoleProvides overall bar services, manages bar operationsPerforms drink preparation and customer service at the bar
CredentialsMay require food handler or alcohol service permitsLikely to need bartending certification or alcohol server permit
Work EnvironmentBar establishments, events, festivalsBars, restaurants, events
Employer UsageUsed for managing bar operations or event staffingUsed for serving drinks and customer interaction

Temporary Bar roles focus on managing or overseeing bar services, while Temporary Bartender positions involve directly preparing and serving drinks. Both roles often require similar permits and work in similar environments, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Bar jobs in Washington?

The most popular types of Bar jobs in Washington are:

Temporary Bar jobs near you
Infographic showing various Temporary Bar job openings in Washington as of August 2026, with employment types broken down into 71% Full Time, 22% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Staff Software Engineer, Perception (R5421)

Shield AI

Washington, DC • On-site

$195K - $292K/yr

Full-time

Re-posted 12 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 
In this role, you'll lead the technical development of advanced machine learning solutions that define the future of perception for autonomous systems. You'll own the team's most challenging technical problems, drive architecture and model development across multiple efforts, and influence how foundation models are adapted, evaluated, and deployed for real-world autonomy. Working closely with researchers, perception engineers, autonomy engineers, and platform teams, you'll bridge cutting-edge AI research with scalable production systems while mentoring engineers and raising the technical bar across the organization.
What You'll Do:

Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:

  • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or 4 years with a PhD; or equivalent work experience.

  • Expertise of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:

  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

$195,200 - $292,800 a year
#LI-DS-1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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