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Temporary Knitting Machine Operator Jobs in Washington, DC

B. L. Harbert

General Laborer

Quantico, VA

$17.25 - $21.50/hr

Signal equipment operators to facilitate alignment, movement, or adjustment of machinery, equipment ... Erect or dismantle scaffolding, shoring, braces, traffic barricades, ramps, or other temporary ...

Mintex Technology

Packaging Mechanic

Manassas, VA · On-site

Guide and coach Packaging Operators in safe and effective machine operation and breakdown/cleaning ... Temporary housing * Full-time benefits including: * Healthcare * 401(k) with company match * Paid ...

Mintex Technology

Packaging Mechanic

Manassas, VA · On-site

$97K/yr

Temporary accommodation * Full time benefits (healthcare, 401k matching, PTO) About the Opportunity ... Operators in the safe and effective operation of packaging line machines. This includes training to ...

Skilled Craft

General Laborer

Quantico, VA · On-site

$17.25 - $21.50/hr

Signal equipment operators to facilitate alignment, movement, or adjustment of machinery, equipment ... Erect or dismantle scaffolding, shoring, braces, traffic barricades, ramps, or other temporary ...

Infojini Inc

Slot Attendant

Hanover, MD · On-site

Fulltime / Temporary Client: Maryland Live! Casino SCOPE AND MAIN PURPOSE OF JOB: Monitor ... Ensures gaming devices are operating properly. Prompt call for technical or supervisory assistance ...

Aspect Inc

Tradesman

Annapolis, MD · On-site

$1.6K/wk

... operators to facilitate alignment, movement, and adjustment of machinery. Mixes, pours, spreads ... Erects or dismantles scaffolding, shoring, braces, traffic barricades, ramps, or other temporary ...

Aspect Inc

Tradesman

Annapolis, MD · On-site

$1.6K/wk

... operators to facilitate alignment, movement, and adjustment of machinery. Mixes, pours, spreads ... Erects or dismantles scaffolding, shoring, braces, traffic barricades, ramps, or other temporary ...

Aspect Inc

Tradesman

Annapolis, MD · On-site

$1.6K/wk

... operators to facilitate alignment, movement, and adjustment of machinery. Mixes, pours, spreads ... Erects or dismantles scaffolding, shoring, braces, traffic barricades, ramps, or other temporary ...

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All JobsKnitting Machine Operator JobsTemporary Knitting Machine Operator JobsTemporary Knitting Machine Operator Jobs in Washington, DC

Temporary Knitting Machine Operator information

See Washington, DC salary details

$13

$20

$26

How much do temporary knitting machine operator jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for temporary knitting machine operator in Washington, DC is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $22.60 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a temporary knitting machine operator?

To thrive as a Temporary Knitting Machine Operator, you need basic mechanical aptitude, attention to detail, and familiarity with textile production processes, often supported by a high school diploma or equivalent. Experience with industrial knitting machines, basic maintenance tools, and sometimes knowledge of production management systems is valuable. Strong problem-solving skills, reliability, and the ability to follow instructions precisely help individuals stand out in this role. These skills are crucial for maintaining production efficiency, minimizing errors, and ensuring high-quality textile output in a fast-paced environment.

What is the difference between Temporary Knitting Machine Operator vs Textile Machine Operator?

AspectTemporary Knitting Machine OperatorTextile Machine Operator
CredentialsTypically requires basic technical training or certification in knitting machineryRequires technical training or certification in textile machinery operation
Work EnvironmentFactories or production facilities focused on knitting textilesTextile manufacturing plants handling various textile machinery
Industry UsagePrimarily in knitting and apparel industriesBroader textile industry including weaving, spinning, and finishing
Job FocusOperating knitting machines to produce fabric or garmentsOperating various textile machinery for fabric production

While both roles involve operating textile machinery, the Temporary Knitting Machine Operator specializes in knitting machines within the textile or apparel industry, often on a temporary basis. In contrast, the Textile Machine Operator may handle a wider range of textile equipment across different manufacturing processes. The skills and certifications overlap, but the focus and work environment differ slightly.

What is a temporary knitting machine operator?

Temporary Knitting Machine Operators are workers who operate knitting machines for a specific, limited period to produce knitted fabrics or garments in manufacturing settings. Their duties typically include setting up machines, monitoring the knitting process, making adjustments as needed, and ensuring the finished products meet quality standards. These positions are often filled to cover seasonal demand, large orders, or staff absences. Temporary operators may also assist with machine maintenance and troubleshooting minor mechanical issues. The role requires attention to detail, manual dexterity, and the ability to follow safety protocols.

What are some typical challenges faced by temporary knitting machine operators, and how can they be managed?

Temporary Knitting Machine Operators often encounter challenges such as quickly adapting to different machine models, maintaining consistent production quality, and efficiently troubleshooting minor mechanical issues. Since the role is temporary, there may also be a learning curve in understanding workplace safety protocols and workflow expectations. To manage these challenges, it’s helpful to ask questions during training, consult with experienced operators, and carefully follow operational guidelines. Strong attention to detail and a willingness to learn can help you succeed and make a positive impression, potentially opening doors to longer-term opportunities.

What are popular job titles related to Temporary Knitting Machine Operator jobs in Washington, DC?

For Temporary Knitting Machine Operator jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Temporary Knitting Machine Operator jobs in Washington, DC look for?

The top searched job categories for Temporary Knitting Machine Operator jobs in Washington, DC are:

Temporary Knitting Machine Operator jobs near you

Senior Software Engineer, Perception (R5420)

Shield AI

Washington, DC • On-site

$163K - $244K/yr

Full-time

Posted 16 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 develop and deploy advanced machine learning models that solve real-world perception challenges for autonomous systems. You'll own major features from model development through deployment, working closely with machine learning researchers, perception engineers, autonomy engineers, and platform teams to bring cutting-edge AI capabilities into production. This is an ideal opportunity for engineers who enjoy solving difficult perception problems while building reliable, production-ready ML systems that operate on autonomous platforms in complex operational environments.

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 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.

  • Prioficiency 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).

#LI-DS-1
#LC

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.