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Weekend Data Annotation Jobs in Santa Clara, CA (NOW HIRING)

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 ...

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 ...

Principal DV Engineer

Saratoga, CA · On-site

$120K - $220K/yr

... annotation Ability to assess whether SDF timing violations are benign or require attention ... This means that there will be times when extra hours, including nights and weekends, may be needed ...

... annotation · Ability to assess whether SDF timing violations are benign or require attention ... This means that there will be times when extra hours, including nights and weekends, may be needed ...

Principal DV Engineer

Saratoga, CA · On-site

$120K - $220K/yr

... annotation • Ability to assess whether SDF timing violations are benign or require attention ... This means that there will be times when extra hours, including nights and weekends, may be needed ...

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.
What are the most commonly searched types of Data Annotation jobs in Santa Clara, CA? The most popular types of Data Annotation jobs in Santa Clara, CA are:
What are popular job titles related to Weekend Data Annotation jobs in Santa Clara, CA? For Weekend Data Annotation jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Annotation jobs in Santa Clara, CA look for? The top searched job categories for Weekend Data Annotation jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Weekend Data Annotation jobs? Cities near Santa Clara, CA with the most Weekend Data Annotation job openings:

Operator - Data Collection (Swing Shift)

1X Technologies AS

San Carlos, CA • On-site

$28 - $36/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

About 1X
We're building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it's not.
To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you're inspired by this, you'll thrive here. We've been at this since 2014 and we're at t point where the hard problems are behind us and the hard work is in front of us.
NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We're not demoing it - we're shipping it. We're excited to meet you, if this excites you.
If you've spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We're scaling, we're hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.
About the Team
The Data Collection Operations team is responsible for generating the high-quality real-world data that trains and improves NEO's behavior. This team operates at the intersection of robotics, AI, and human interaction - creating the datasets that directly shape how our robots move, respond, and operate safely in home environments. As we scale deployments, this group plays a critical role in accelerating robot learning and operational readiness.
Your Charter
As a Senior Operator on the Data Collection team, your charter is to execute high-quality robot operations while raising the standard for precision, consistency, and operational excellence across the team. You will operate humanoid robots in controlled lab and residential-style environments, support AI data generation workflows, and help improve the systems and processes that enable scalable robot learning.
Key Outcomes
  • Execute robot operation and data collection workflows with high accuracy, consistency, and adherence to SOPs
  • Produce high-quality annotated datasets and detailed issue reporting that improve AI model training and robot performance
  • Maintain operational readiness of robots, equipment, and data collection environments across assigned shifts
  • Identify workflow inefficiencies and contribute measurable improvements to SOPs, tooling, and operational scalability
  • Support successful robot sessions in lab and residential environments while maintaining safety, professionalism, and data integrity

Minimum Requirements
  • 2+ years of experience operating robots, technical systems, or similar hands-on operational equipment
  • Proven ability to follow structured procedures with precision and consistency
  • Comfortable working in VR environments and performing physically active tasks throughout the workday
  • Ability to lift up to 50 lbs and wear operational equipment weighing up to 30 lbs
  • Availability to work flexible schedules including swing shifts, weekends, and overtime as needed

Preferred Skills:
  • Experience supporting robotics, autonomous systems, or AI data collection programs
  • Prior experience contributing to SOP development, process optimization, or operational scaling efforts
  • Familiarity with data annotation tools, issue tracking systems, or technical reporting workflows

What does a successful 1X Team Member look like
Team members at 1X who thrive here are builders. They move fast, own their work completely, and treat time like it's the one thing you can't get back - because it is. They say what they mean, finish what they start, and hold themselves to a standard before anyone has to ask. We push each other to be better, and we do it with honesty and respect.
Compensation Range
$28.00 - $36.00/hr
Benefits
  • Comprehensive medical, dental, and vision coverage
  • Generous paid time off, company holidays, and parental leave
  • 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
  • Commuter benefits (transit and parking)
  • Short-term and long-term disability, and life insurance
  • Employee Assistance Program (EAP) for mental health, financial, and personal support
  • Onsite snacks and catered lunches

Equal Opportunity Employer
1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.