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Weekend Data Annotation Jobs in Arizona (NOW HIRING)

CT Tech

Tempe, AZ · On-site

RAD CT * $7,500 Sign-on Bonus Available * Part-Time, includes weekend rotation * S. Mill Ave @ E ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

CT Tech

Tempe, AZ · On-site

RAD CT * $7,500 Sign-on Bonus Available * Part-Time, includes weekend rotation * S. Mill Ave @ E ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Showing results 21-24

Weekend Data Annotation information

What is a weekend data annotation job?

Weekend Data Annotation jobs involve labeling, tagging, or categorizing data such as text, images, audio, or video, typically for use in machine learning or artificial intelligence projects. These roles are specifically scheduled for weekends, making them ideal for individuals seeking flexible, part-time work outside of standard weekday hours. Data annotators often work remotely and use specialized tools or platforms to ensure data is accurately and consistently labeled according to project guidelines. This work is crucial for training algorithms to recognize patterns and make predictions in various applications, such as self-driving cars, language translation, or content moderation.

What skills and qualifications are needed for weekend data annotation?

To excel as a Weekend Data Annotation Specialist, you need strong attention to detail, consistency, and familiarity with data labeling processes, often supported by a high school diploma or equivalent. Competence with annotation tools like Labelbox, Supervisely, or proprietary platforms, and sometimes knowledge of basic coding or data formats (e.g., CSV, JSON), is typically required. Reliability, time management, and the ability to follow precise instructions are essential soft skills for this role. These skills ensure high-quality, accurate datasets that are critical for training effective machine learning models.

What challenges do weekend data annotation specialists face, and how can they be addressed?

Weekend data annotation specialists often encounter challenges such as maintaining focus during repetitive tasks and managing tight turnaround times for projects that require quick weekend processing. To address these issues, it's helpful to take regular short breaks to reduce fatigue and to establish a clear workflow at the start of each shift. Additionally, open communication with team leads about workload and expectations can ensure priorities are clear, making it easier to manage deadlines and collaborate effectively, even outside traditional weekday hours.

What is the difference between Weekend Data Annotation vs Data Labeler?

AspectWeekend Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or flexible hours, part-timeRemote or on-site, part-time or full-time
Industry UsageAI training, machine learning projectsAI, autonomous vehicles, healthcare, retail
Search & Comparison IntentYesYes

Weekend Data Annotation and Data Labeler roles both involve labeling data for AI and machine learning. The main difference lies in scheduling; Weekend Data Annotation typically offers flexible, weekend-only hours, making it suitable for part-time workers or students. Data Labelers may work during regular hours and can be employed full-time or part-time. Both roles require similar skills and are used across industries like autonomous vehicles, healthcare, and retail. The choice depends on your availability and preferred work schedule.

Can I do weekend data annotation part-time?

Weekend data annotation jobs are often available as part-time positions, allowing flexibility for workers to choose weekend hours. These roles typically require basic skills in data labeling and may involve using annotation tools; scheduling depends on the employer's needs. Candidates should verify specific job postings for weekend availability and part-time options.

Does weekend data annotation have projects on weekends?

Weekend data annotation jobs often offer flexible schedules, and some projects may require work on weekends. However, availability depends on the employer and project deadlines, so not all data annotation roles are weekend-specific. It is common for part-time or freelance roles to include weekend work if needed.

What are the most commonly searched types of Data Annotation jobs in Arizona?

The most popular types of Data Annotation jobs in Arizona are:

What are popular job titles related to Weekend Data Annotation jobs in Arizona?

For Weekend Data Annotation jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Weekend Data Annotation jobs in Arizona look for?

The top searched job categories for Weekend Data Annotation jobs in Arizona are:

What cities in Arizona are hiring for Weekend Data Annotation jobs?

Cities in Arizona with the most Weekend Data Annotation job openings:

Infographic showing various Weekend Data Annotation job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Faculty Immersive Simulation Facilitator

Grand Canyon University

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Grand Canyon University rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

237th of 631 rated colleges and universities


Job description

Grand Canyon University! One of Arizona's leading institutions of higher learning.Located in the Valley of the Sun in the heart of Phoenix, Arizona. GCU is an institutionally accredited, private, nondenominational Christian University.

Are you looking to shape the nurses of the future? Have you always thought about teaching? Are you prepared to pass on your knowledge to the next generation of Nurses and Healthcare professionals? We may have the opportunity you have been looking for.

The College of Nursing and Health Care Professions is seeking an immediate full-time Faculty Immersive Simulation Facilitator. The Faculty Immersive Simulation Facilitator serves as faculty to ensure excellence in the Immersive Simulation learner experience.

What you will do:

  • Primary support for Clinical Simulation Educational Activities.

  • Proactively coordinates in advance with Director of Clinical Operations and Director of Lab and Simulation to schedule activities and manage equipment and supplies for each activity.

  • Oversees all training processes and ensures systems and equipment are enabled to meet the learning outcomes.

  • Collaborative participation in scenario design, evaluation, implementation into curriculum, and provision of experience to learners

  • Leads provision of entire scenario experience, facilitation and debriefing for learner(s)

  • Leads trial, validation, and evaluation processes for implementation of scenarios as a part of the curriculum.

  • Orients, coordinates and directs Simulation Technician, actors, volunteers and faculty prior to each scenario experience, facilitation and debriefing

  • Ensures and maintains standards for operations, scenario design, facilitation, and debriefing in alignment with specified immersive simulation training programs policies and procedures.

  • Coordinates and assists designated faculty with concurrent and/or retrospective video annotation, data capture and creation of outcome tracking, results and reports

  • Coordinates with Simulation Technician to confirm pre-programming of manikin simulators, task trainers, AV, & data collection are ready for each experience use

  • Coordinates with Simulation Technician to confirm designated pre-sets, staging, and disposable supplies for each scenario are ready for immediate use

  • Ensure Faculty & Learners are oriented to capabilities, limitations, safety & proper use of all simulation manikins, trainers, AV, and equipment.

  • Manage Clinical Simulation Educational Activity Related Supplies & Equipment

  • Provide technical and operational support for AV systems, data collection systems, Human Patient Simulator systems, computer systems, and task trainer systems.

  • Manage clinical simulation educational activity during practice, rehearsal, and research as it pertains to Immersive Patient Care Management simulation scenarios, skills and task training, standardized patient encounters, and conference sessions according to standardized methodology and techniques and policy and procedure.

  • Provide reports or feedback to didactic faculty on student progress or outcomes

  • Attend required faculty meetings and participate in committees

  • Occasionally work evenings and weekends as required by business needs

What you need:

  • Master's degree (MSN) from a CCNE/NLNAC or ACEN accredited program.

  • Must have active unencumbered Arizona RN license.

  • Two years related experience in healthcare, clinical healthcare education, or healthcare simulation education.

  • Provide a positive example to students by supporting the University's Doctrinal Statement, Ethical Position Statement and Mission of Grand Canyon University

Bonus:

  • Previous experience facilitating immersive simulation.

  • Previous experience with simulation debriefing and strategies.

  • Previous experience collaborating in immersive simulation scenario design, evaluation and implementation into curriculum.

  • Contemporary lab competence and knowledge about simulation both high fidelity and virtual reality as evidenced by relevant continuing education and professional organization affiliation.

Why work at GCU:

  • Exceptional workplace benefits include medical, dental, vision, life and disability insurance, flexible spending accounts, a 401K savings plan

  • Generous time off plan and 11 paid holidays

  • Paid time off to volunteer in the community or at GCU sponsored events

  • Free covered parking

  • We also offer full-time employees, their spouses, and dependent children an Education Tuition Discount Program

  • Free on-site gyms on campus

#INDLOPESUP


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