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Weekend Data Annotation Jobs in California (NOW HIRING)

SpaceXAI

Operations Engineer - Human Data

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 ...

SpaceXAI

Operations Engineer - Human Data

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 ...

SpaceXAI

Operations Engineer - Human Data

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 ...

Nimble Robotics

Member of Technical Staff

San Francisco, CA · On-site

$200K - $300K/yr

Design data annotation and labeling * Support implementation of models into production systems ... Must be able to work extended hours and weekends as needed * Must be able to work in San Francisco ...

Nimble Robotics

Member of Technical Staff

San Francisco, CA · On-site

$200K - $300K/yr

Design data annotation and labeling * Support implementation of models into production systems ... Must be able to work extended hours and weekends as needed * Must be able to work in San Francisco ...

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Weekend Data Annotation information

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 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.
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Weekend Data Annotation jobs near you

AI Robotics Research Scientist

Nimble

San Francisco, CA • On-site

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Nimble is an AI robotics company focused on creating an autonomous supply chain to enhance commerce efficiency and sustainability. The AI Robotics Research Scientist will design, develop, and implement advanced robotic models and algorithms, collaborating with a cross-functional team to address significant robotics challenges.
Responsibilities:
• Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more
• 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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