1

Weekend Data Jobs in California (NOW HIRING)

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ... For details on data processing, view our Recruitment Privacy Notice.

Fulltime, direct hire Salary: $72,000/year We are seeking a Data Analyst to join a nonprofit ... Occasional weekend hours may be required contingent on workload. Benefits: * Medical, Dental ...

Human Data Manager

Palo Alto, CA · On-site

$100 - $186/hr

Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ... For details on data processing, view our Recruitment Privacy Notice. #J-18808-Ljbffr

Human Data Manager

Palo Alto, CA · On-site

$100 - $186/hr

Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ... For details on data processing, view our Recruitment Privacy Notice. #J-18808-Ljbffr

Weekend work may be required. * Travel to other SpaceXAI sites may be required. COMPENSATION AND ... For details on data processing, view our Recruitment Privacy Notice.

Willingness to work extended hours or weekends to support critical mission milestones and ... Senior Data Engineer: $143,000.00 - $203,000.00

Weekend Shift differentials for hourly staff (5% for Weekend AM Shift, 11% for Weekend PM Shift, 15 ... Data Specialist, Entry Level, Medical Records, MRT If job posting references any sign-on bonus ...

Must be available for early morning and evening shifts, and weekend work. * Must be comfortable ... Experience with scheduling or data management platforms. * Interest in human-computer interaction ...

... weekends.Key Responsibilities * Drive test vehicles for extended periods (4-8 hours per shift) on ... Support simple technical tasks related to data collection systems * Coordinate with internal teams ...

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data ...

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data ...

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company -- ingestion pipelines, warehouse modeling, data ...

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data ...

... weekends. Key Responsibilities * Drive test vehicles for extended periods (4-8 hours per shift) on ... Support simple technical tasks related to data collection systems * Coordinate with internal teams ...

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location ... May require evening and weekend hours to support business needs. SOLLUCIO PUBLIC.

Data Science / Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Company Description Intelliswift Software, Inc 5+ years of experience in software/data applications 2+ years of experience with Hadoop, NoSQL, SQL 2+ years of experience leverating R, or Excel for ...

Showing results 21-40

Weekend Data information

See California salary details

$9

$18

$45

How much do weekend data jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for weekend data in California is $18.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.18 and $19.07 per hour, depending on experience, location, and employer.

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What are the key skills and qualifications needed to thrive as a weekend data, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in California?

The most popular types of Data jobs in California are:

What cities in California are hiring for Weekend Data jobs?

Cities in California with the most Weekend Data job openings:

Infographic showing various Weekend Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $39,408 per year, or $18.9 per hour.

Human Data Manager

SpaceXAI

Palo Alto, CA • On-site

$100K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
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.
SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


SpaceX logo

About SpaceX

Sourced by ZipRecruiter

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