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Weekend Data Annotation Jobs in San Jose, CA (NOW HIRING)

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 ...

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 ...

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 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 ...

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 ...

... 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 ...

... nights, weekends, and holidays, as part of a leadership on-call model. In This Role, You Will ... You use data, tooling, and automation to improve quality, efficiency, and scale to not just measure ...

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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.

What are the most commonly searched types of Data Annotation jobs in San Jose, CA?

The most popular types of Data Annotation jobs in San Jose, CA are:

What are popular job titles related to Weekend Data Annotation jobs in San Jose, CA?

For Weekend Data Annotation jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Annotation jobs in San Jose, CA look for?

The top searched job categories for Weekend Data Annotation jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Weekend Data Annotation jobs?

Cities near San Jose, CA with the most Weekend Data Annotation job openings:

$100K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

ABOUT THE ROLE:

You will ensure engineering teams get the right data they need-high-quality tasks and evaluations-by crafting and executing high-value Human Data projects. You sit at the intersection of model teams and data operations: partnering with engineering, designing projects that capture meaningful signals, and driving measurement of data impact. This is a hands-on role for people who understand training and evaluation deeply and want to influence data strategy.

RESPONSIBILITIES:
  • Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies.
  • Own end-to-end delivery of critical data and evaluation projects that capture meaningful training signals and support rapid model development.
  • Leverage AI agents and existing platforms to measure data effectiveness and quantify impact (data yield, eval lift, usage).
  • Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.
  • Research and apply techniques for data collection, annotation, generation, and multi-modal integration.
  • Shape Grok's behavior and domain performance through targeted data work; improve annotation workflows using agents and no/low-code approaches where helpful.
  • Manage plans that shape model behavior via data management, optimization, and analysis, including resources and timelines.
  • Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing.
  • Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions.
BASIC QUALIFICATIONS:
  • Bachelor's degree, or 4+ years of relevant experience in lieu of a degree
  • Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)
  • Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
PREFERRED SKILLS AND EXPERIENCE:
  • Degree in engineering, computer science, data analysis, or a related STEM discipline (Bachelor's or higher)
  • Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems
  • Experience designing, supporting, or optimizing annotation workflows or data processes that prioritize factual accuracy and data integrity
  • Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.)
  • Experience with model or dataset evaluations focused on quality, truthfulness, or alignment with product goals
  • Comfort using AI agents, no/low-code tools, or light scripting (e.g., Python) to prototype workflows and measurement
  • Experience with SQL or other data analysis tools
ADDITIONAL REQUIREMENTS:
  • Weekend work may be required.
  • Travel to other SpaceXAI sites may be required.
COMPENSATION AND BENEFITS:

$100,000 - $186,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.


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Pay

Benefits

Hours and flexibility

Workplace

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About SpaceX

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Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US