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Weekend Data Annotation Jobs in Arvada, CO (NOW HIRING)

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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 Arvada, CO?

The most popular types of Data Annotation jobs in Arvada, CO are:

What are popular job titles related to Weekend Data Annotation jobs in Arvada, CO?

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

What job categories do people searching Weekend Data Annotation jobs in Arvada, CO look for?

The top searched job categories for Weekend Data Annotation jobs in Arvada, CO are:

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

Immersive Simulation Facilitator - Nursing Faculty

Denver, CO • On-site

GRAND CANYON UNIVERSITY
Colleges, Universities, and Professional Schools

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

233rd of 627 rated colleges and universities

Great coworkers

People enjoy working here

Good employer

Learn more about GRAND CANYON UNIVERSITYexternal

$83 - $95.50/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 25 days ago

Job description

Immersive Simulation Facilitator – Grand Canyon University

Grand Canyon University is a private, nondenominational Christian university in Phoenix, Arizona. The College of Nursing and Healthcare Professions has recently launched a 16‑month Accelerated Bridge to Bachelor of Science in Nursing program (ABSN) in Englewood, CO.

Location & Schedule

Location: 10700 E Geddes Ave #200, Englewood, CO 80124
Schedule: On‑site, Monday through Friday, 7:30AM–4:30PM

Compensation & Benefits

Compensation: $83,000–$95,500 per year, based on degree level, years of clinical practice, and teaching experience.
Benefits: Full benefits portfolio including tuition package, medical, dental, vision, life and disability insurance, flexible spending accounts, 401(k) savings plan, generous time‑off plan, 11 paid holidays, paid volunteer leave, free covered parking, and an education tuition discount program for employees, spouses, and dependent children.

Target Start Date

July 2026.

Responsibilities
  • Serve as primary educational support for clinical simulation educational activities.
  • Proactively coordinate with the Director of Nursing Services to schedule activities and manage equipment and supplies.
  • Oversee all training processes and ensure systems and equipment enable learning outcomes.
  • Lead trial, validation, and evaluation processes for implementation of scenarios as part of the curriculum.
  • Orient, coordinate, and direct simulation technicians, actors, volunteers, and faculty prior to each scenario, including facilitation and debriefing.
  • Coordinate and assist assigned faculty with video annotation, data capture, and creation of outcome tracking reports.
  • Ensure faculty and learners are oriented to capabilities, limitations, safety, and proper use of all simulation manikins, trainers, AV, and equipment.
  • Manage simulation activity supplies and equipment.
  • Provide technical and operational support for AV systems, data collection systems, human patient simulator systems, computer systems, and task trainer systems.
  • Provide reports or feedback to didactic faculty on student progress or outcomes.
  • Occasionally work evenings and weekends as required by business needs.
Qualifications
  • Master’s degree (MSN) from a CCNE, NLNAC, or ACEN accredited program.
  • Active, current, and unencumbered California Registered Nurse (RN) license.
  • Minimum of 2 years related experience in healthcare, clinical education, or healthcare simulation education.
  • Demonstrated commitment to the university’s doctrinal statement, ethical position, and mission.
Equal Opportunity Statement

The University values diversity among its students, faculty, and staff, and invites applications from all qualified individuals, including minorities, females, individuals with disabilities, and veterans. Employment is contingent upon satisfactory completion of pre‑employment screening, including a background check.

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