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Weekend Data Annotation Jobs (NOW HIRING)

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multi-modal ... Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ...

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multi-modal ... Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ...

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multi-modal ... Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ...

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multimodal ... Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ...

Research and apply techniques for data collection, annotation, generation, and multi-modal ... Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ...

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multi-modal ... Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ...

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

Design and improve annotation workflows, labeling interfaces, and related tools with a focus on ... Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ...

Comp days are provided when weekend travel is required. KEY RESPONSIBILITIES * Build and maintain ... Collaborate with the annotation team to improve data quality, labeling practices, and machine ...

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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.
More about Weekend Data Annotation jobs

What cities are hiring for Weekend Data Annotation jobs?

Cities with the most Weekend Data Annotation job openings:

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

The most popular types of Data Annotation jobs are:

What states have the most Weekend Data Annotation jobs?

States with the most job openings for Weekend Data Annotation jobs include:

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

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

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

Part Time Research Assistant - KER Unit

Rochester, MN • On-site

Mayo Clinic
Hospitals • 10K+ employees

$18.43 - $24.75/hr

Part-time

Posted 4 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz


Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Responsibilities

Performs various support functions for health services and artificial intelligence research projects using proper procedures to maintain confidentiality, data quality, and accurate documentation. Assists with literature searches, data organization, data entry, qualitative coding or annotation, spreadsheet/database maintenance, preparation of study materials, and project tracking. May assist with participant, clinician and patient outreach, consent-related study procedures, survey administration, interview scheduling, and qualitative interview support, as appropriate and under supervision. May assist with reviewing clinical communication data, organizing research outputs, supporting manuscript or presentation preparation, and conducting quality checks. Works under direct supervision. Attention to detail is essential while dealing with multiple tasks. Flexibility is important in adjusting to frequent changes in work volume. 


Qualifications

Requires a high school diploma or GED. Coursework in health sciences, public health, psychology, social sciences, data science, biomedical informatics, communication, or related fields is preferred. Must have previous work experience that demonstrates organizational skills, attention to detail, ability to multi-task, and good communication skills. Must be able to prioritize and adjust to changes in work volume. Experience with Excel software is preferred. Experience with REDCap, literature reviews, qualitative coding, data annotation, medical terminology, research documentation, survey administration, participant recruitment, consent procedures, interviewing, or AI/NLP-related workflows is helpful but not required.

Note: Visa sponsorship is not available for this position. Must be U.S. citizen, permanent resident, refugee or asylee.


Exemption Status
Nonexempt
Compensation Detail
$18.43 - $24.75 / hour; Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
No
Schedule
Part Time
Hours/Pay Period
Varied
Schedule Details
Flexible hours up to 40 per week
Weekend Schedule
No weekend hours
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Stephanie BairdQualifications:

Requires a high school diploma or GED. Coursework in health sciences, public health, psychology, social sciences, data science, biomedical informatics, communication, or related fields is preferred. Must have previous work experience that demonstrates organizational skills, attention to detail, ability to multi-task, and good communication skills. Must be able to prioritize and adjust to changes in work volume. Experience with Excel software is preferred. Experience with REDCap, literature reviews, qualitative coding, data annotation, medical terminology, research documentation, survey administration, participant recruitment, consent procedures, interviewing, or AI/NLP-related workflows is helpful but not required.

Note: Visa sponsorship is not available for this position. Must be U.S. citizen, permanent resident, refugee or asylee.


What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919