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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 ...

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 - 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 ...

Employees may be required to work varying schedules, including weekends, holidays, and shifts at ... annotation, data labeling, content moderation, transcription, compliance review, auditing, or ...

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 ...

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 ...

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 ...

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 ...

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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:

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

AI Robotics Research Engineer

San Francisco, CA • On-site

Nimble
Trucking • 11 - 50 employees

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Nimble is an AI robotics company focused on building an autonomous supply chain. The AI Robotics Research Engineer will design, develop, train, and implement robotic foundation models and reinforcement learning algorithms for multi-agent robot fleets.
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:
• Masters or 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.