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Weekend Data Annotation Jobs (NOW HIRING)

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AV Test Operator Day

Las Vegas, NV · On-site

$17.50 - $21.50/hr

Operate in-vehicle data recording systems, including start/stop recording, data annotation, and ... Flexibility to work days, nights, weekends, and varying schedules * Professional demeanor with ...

Motional

AV Test Operator Day

Las Vegas, NV

$17.50 - $21.50/hr

Operate in-vehicle data recording systems, including start/stop recording, data annotation, and ... Flexibility to work days, nights, weekends, and varying schedules * Professional demeanor with ...

Motional

AV Test Operator Day

Las Vegas, NV · On-site

$17.50 - $21.50/hr

Operate in-vehicle data recording systems, including start/stop recording, data annotation, and ... Flexibility to work days, nights, weekends, and varying schedules * Professional demeanor with ...

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Weekend Data Annotation information

What are the key skills and qualifications needed to thrive as a Weekend Data Annotation Specialist, and why are they important?

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 are some typical challenges faced by weekend data annotation specialists, 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 are Weekend Data Annotation jobs?

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 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.

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 job categories do people searching Weekend Data Annotation jobs look for? The top searched job categories for Weekend Data Annotation jobs are:
Weekend Data Annotation jobs near you
Infographic showing various Weekend Data Annotation job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
AI Robotics Research Scientist

AI Robotics Research Scientist

Nimble

San Francisco, CA • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Nimble is an AI robotics company focused on building the autonomous supply chain to enhance commerce efficiency. The AI Robotics Research Scientist will design, develop, train, and implement robotic foundation models and reinforcement learning algorithms to advance the company's robotics initiatives.
Responsibilities:
• Develop and train VLAs and generalist visuomotor policies to automate thousands of tasks across the supply chain
• Develop data collection pipelines
• Design data annotation and labeling
• Support implementation of models into production systems
Qualifications:
Required:
• P.h.D in Robotics or Computer Science
• Experience training deep learning models for robotic manipulation or mobility
• Experience working with real robotic hardware
• Experience training models in simulation and developing simulation environments
• Experience collecting custom datasets
• Experience training on open-source datasets
• Strong track record of publishing papers and/or deploying real-world applications
• Experience with system architecture, design and development
• Must be able to work extended hours and weekends as needed
• Must be able to work in San Francisco
Company:
Nimble is building the autonomous supply chain powered by generalist superhumanoid robots. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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