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Weekend Ai Data Annotation Jobs in Kansas (NOW HIRING)

... AI to client data sets. The Consultant partners with Client Services and Document Review Services ... This role requires the ability to manage multiple projects concurrently; evening and weekend work ...

Software Engineer II - MCP Development

Lenexa, KS · On-site

$91K - $125K/yr

AI-assisted development tools * Azure Foundry * Docker and container technologies * Data ... Work overtime and weekends as required. * May work at various different locations and conditions ...

Sr Integrations Engineer

Lenexa, KS · On-site +1

$97K - $131K/yr

AI-assisted development tools * Azure Foundry * Docker and container technologies * Data ... Work overtime and weekends as required. * May work at various different locations and conditions ...

New

You will be part of a technical project, supporting data collection with the corporate vehicle. No ... Opportunity for additional weekend work * Stable project duration (3-6 months) * W-2 contract and ...

You will be part of a technical project, supporting data collection with the corporate vehicle. No ... Opportunity for additional weekend work * Stable project duration (3-6 months) * W-2 contract and ...

Handle confidential data responsibly. * Develop technical skill sets within areas of expertise ... Flexibility to work nights, weekends, and overtime as needed. * Ability to research a wide range of ...

Showing results 41-60

Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

How much do you get paid for AI data annotation?

The pay for AI data annotation jobs varies depending on the employer, project complexity, and experience level, but typically ranges from $10 to $20 per hour or $0.02 to $0.10 per task. Many roles are paid on a per-task basis, and some may offer bonuses for accuracy or speed. Compensation can also depend on whether the work is freelance or employed by a company.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
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Staff Engineer, Quality Assurance (R5358)

Shield AI

Wichita, KS • On-site

$110K - $160K/yr

Full-time

Posted 8 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. 

Job Description:

Shield AI is seeking a Quality Engineer to support the development, inspection, execution, and continuous improvement of the X-BAT program. This fast-paced role is responsible for ensuring weapons system hardware, assemblies, suppliers, manufacturing processes, test processes, and final products meet engineering requirements and quality standards.

You will work closely with test operations, manufacturing, engineering, supply chain, program management, and suppliers to identify quality risks, resolve nonconformances, improve processes, and deliver reliable mission critical operations.

What you'll do:
  • Support quality planning, inspections, readiness, and acceptance activities for the weapons system and subsystems
  • Review engineering drawings, specifications, work instructions, inspection plans, and acceptance criteria
  • Develop and maintain quality documentation, including inspection plans, control plans, first article inspections, nonconformance reports, corrective actions, and quality records
  • Lead root cause analysis and corrective/preventive action efforts for manufacturing defects, supplier issues, test failures, process/procedure failures, and any other quality concerns
  • Support material review board activities, disposition of nonconforming material, and implementation of containment actions
  • Work with manufacturing and engineering teams to build, process capability, and product reliability
  • Analyze quality data, defect trends, performance, and escape rates to identify improvement opportunities
  • Participate in supplier quality activities, including issue resolution, corrective actions, and quality flow-down requirements
  • Ensure compliance with applicable aerospace, defense, customer, and internal quality requirements
  • Promote a culture of safety, compliance, accountability, and continuous improvement
Required qualifications:
  • Bachelor's degree in science, Engineering, Technology, and Math (STEM), Quality Engineering or related field, or similar experience levels supporting developmental test operations.
  • 5-10 years of experience with developmental and/or operational ground and flight test, unmanned/manned aircraft systems, aircraft integration, or aerospace systems engineering
  • Experience in quality engineering, ground and flight test execution, maintenance, manufacturing engineering, supplier quality, production support, or aerospace hardware
  • Ability to interpret engineering drawings, technical specifications, bills of materials, work instructions, and inspection requirements
  • Proven experience with nonconformance management, root cause analysis, corrective action, trend analysis, and quality documentation
  • Familiarity with inspection methods, measurement tools, and manufacturing processes used in aerospace or complex hardware integration and development test environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to work cross-functionally with engineering, manufacturing, test operations, supply chain, and program leadership
  • Maintains liaison with manufacturing, engineering, material management, suppliers to resolve quality problems
  • Detail-oriented approach with a strong commitment to product quality and process discipline
  • Ability to work in a fast-paced ground and flight test environment
  • Willingness to travel and work outdoors at test ranges and other program requirements
  • Overtime and weekend coverage as required
Preferred qualifications:
  • 10+ years of experience with developmental and/or operational ground and flight test, unmanned aircraft systems, aircraft integration, or aerospace systems engineering
  • Knowledge of AS9100, ISO9001, FAA, DoW, and other aerospace and defense quality standards
  • Experience with first acritical inspections
  • Experience supporting protype aircraft, weapon systems, or mission critical aerospace systems
  • Familiarity with configuration management, drawing release processes, and engineering change processes
  • Experience using quality tools such as 8D, 5 Why's, Fishbone diagrams, FMEA, control plans, or process capability analysis
  • Certified Quality Engineer, Six Sigma Green/Black Belt, or related certification
$110,000 - $160,000 a year
#LI-JM1
#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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