... weekends Preferred Qualifications Experience working in collegiate or professional football ... ForceDecks, NordBord, ForceFrame - Data visualization tools: Tableau, Power BI - Data analysis ...
... weekends Preferred Qualifications Experience working in collegiate or professional football ... ForceDecks, NordBord, ForceFrame - Data visualization tools: Tableau, Power BI - Data analysis ...
Weekend Data Annotation information
What is the difference between Weekend Data Annotation vs Data Labeler?
| Aspect | Weekend Data Annotation | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or flexible hours, part-time | Remote or on-site, part-time or full-time |
| Industry Usage | AI training, machine learning projects | AI, autonomous vehicles, healthcare, retail |
| Search & Comparison Intent | Yes | Yes |
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.
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.
Is data annotation a part-time job?
Data annotation jobs, including weekend data annotation roles, are often offered as part-time positions with flexible schedules. Many companies provide remote opportunities that allow workers to choose hours that fit their availability, making it suitable for those seeking part-time work. However, specific hours and commitments can vary depending on the employer and project requirements.
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 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 cities near Roanoke, VA are hiring for Weekend Data Annotation jobs? Cities near Roanoke, VA with the most Weekend Data Annotation job openings:
Other
Re-posted 21 hours ago
Virginia Tech rating
7.8
Based on 65 frontline employees who took The Breakroom Quiz
225th of 614 rated colleges and universities
Job description
Assistant Director of Sports Science / Football
Apply now Back to search results Job no: 536361
Work type: Administrative & Professional
Senior management: President
Department: Athletic Department
Location: Blacksburg, Virginia
Categories: Other, Research / Scientific
Job Description
The Virginia Tech Department of Athletics embraces the core values of Integrity, Service, Honor, Excellence, and Strong Together. Guided by our motto, Ut Prosim (That I May Serve), we are committed to fostering a culture that accepts, affirms, and values all individuals and their unique contributions to the department, university, and broader community.
The Assistant Director of Sports Science / Football supports the design, implementation, and daily operation of the football sport science program. This role contributes to the monitoring of athlete workload, readiness, and recovery while assisting in translating data into actionable insights for coaches, medical staff, and performance personnel.
The position will collaborate across strength & conditioning, sports medicine, nutrition, and coaching staff to enhance player availability, readiness, and performance. Position reports to the Associate AD, Performance Enhancement / Football.
Required Qualifications
Bachelor's degree in Exercise Science, Sport Science, Kinesiology, Biomechanics, or related field, and/or a master's degree
Experience with athlete monitoring technologies (GPS, force plates, etc.)
Strong proficiency in Excel (data organization, formulas, basic analysis)
Applied understanding of training load concepts (volume, intensity, ACWR, etc.)
Ability to work flexible hours, including early mornings, evenings, and weekends
Preferred Qualifications
Experience working in collegiate or professional football
Experience and proficiency with the following:
- Player tracking systems: Catapult / Zebra systems
- VALD technologies: ForceDecks, NordBord, ForceFrame
- Data visualization tools: Tableau, Power BI
- Data analysis & coding tools: R, Python
- Machine Learning: Predictive modeling, feature engineering, model evaluation
- Computer Vision: Player tracking, pose estimation, video annotation
- Systems: Git, APIs
Pay Band
{lPayScaleID}
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Commensurate with experience.
Hours per week
40+. Nights and weekends as needed.
Review Date
5/20/26
Additional Information
SEE MORE ABOUT WORKING IN VT ATHLETICS AT https://hokiesports.com/be-a-hokie
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Stuart Cochran at stuart@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: May 7, 2026
Applications close:
Back to search results Apply now Refer a friend
What Virginia Tech employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Virginia Tech
Sourced by ZipRecruiter
Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Blacksburg, VA, US
Year founded
1872