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Weekend Data Annotation Jobs (NOW HIRING)

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Sr. Java Developer

Richmond, VA · On-site

$56.75 - $72.25/hr

... and weekends) flexibility and able to prioritize and juggle multiple projects. Understand and ... Develop and maintain system documentation, including technical specifications, data mapping ...

HonorHealth

Radiologic Tech - Lead

Scottsdale, AZ · On-site

Monday through Friday 7am-3:30pm; weekend, weekday, holiday call rotation * E. Thompson Peak Pkwy ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

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Weekend Data Annotation information

Is data annotation real or fake?

Data annotation is a legitimate job involving labeling data such as images, text, or audio to train machine learning models. It requires attention to detail and familiarity with annotation tools; the work is real and essential for AI development.

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.

Is it hard to get hired for data annotation?

Getting hired for a data annotation job is generally accessible, especially for entry-level positions that require basic attention to detail and familiarity with annotation tools. Competition can vary depending on the company and location, but having relevant skills or experience with data labeling platforms can improve chances of employment.

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.

Is data annotation still hiring?

Data annotation roles, including weekend positions, are currently in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they may be available on flexible schedules such as weekends.

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.

Does data annotation really pay you?

Data annotation jobs, including weekend data annotation roles, typically pay hourly or per task rates, with earnings varying based on experience, complexity of tasks, and platform. Many companies offer remote work with flexible schedules, and payment is usually processed regularly through direct deposit or platform-specific methods.

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 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 June 2026, with employment types broken down into 64% Full Time, 28% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
AI Robotics Research Scientist

AI Robotics Research Scientist

Nimble Robotics

San Francisco, CA

$200K - $300K/yr

Other

Medical, Dental, Vision, Retirement

Posted 20 days ago

Job description

About Nimble

Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you.

We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by generalist superhumanoids.

Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).

Let's be legendary.

 
Why Join Nimble?
At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
 
Nimble's Core Values:
Be relentlessly resourceful - Challenge conventions and overcome obstacles.
Be legendary - Be the very best and do work that inspires.
Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.
Be dependable - Take ownership and deliver with high agency.
 
The Role
 
Nimble is looking for an AI Robotics Research Scientist to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.
 
You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the world's biggest robotics opportunity.
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
    • 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
Additional Requirements
    • Must be able to work extended hours and weekends as needed
    • Must be able to work in San Francisco
$200,000 - $300,000 a year
The above range is the salary range. This position will also receive generous equity for this position.
 
Culture:
We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
 
Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.
 
Nimble's Benefits
 
Unlimited Flexible Time Off
Enjoy the time you need to travel, rejuvenate, and connect with friends and family.
 
Health Insurance
Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
 
Paid Parental Leave
Enjoy paid bonding time following a birth.
 
Commuter Benefits
Take the stress out of commuting with access to fully-paid parking spots. 
 
Referral Bonus
Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 
 
401k
Contribute towards a 401k for retirement planning.
 
Equity
Be an owner in Nimble through our equity program
 
Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx 
 
Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance

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