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Crowd Worker Jobs in California (NOW HIRING)

Livenation

Security Staff - The Fillmore

San Francisco, CA · On-site

$19.18 - $20/hr

Alternatively, we may accept other forms of guest service or crowd management experience. This ... Most shifts require working nights and weekends. We offer the required Proprietary Private Security ...

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Crowd Worker information

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$9

$21

$37

How much do crowd worker jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for crowd worker in California is $21.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $22.79 per hour, depending on experience, location, and employer.

What is a crowd worker?

A Crowd Worker is someone who completes small, task-based jobs online through digital platforms. These tasks can include data entry, image tagging, content moderation, surveys, transcription, and more. Crowd work is often flexible, allowing workers to choose tasks and work hours that fit their schedule. Payment varies by platform and task complexity, and workers are typically considered independent contractors.

What are the key skills and qualifications needed to thrive as a crowd worker?

To thrive as a Crowd Worker, you need strong attention to detail, time management, and the ability to quickly understand and follow written instructions, with most roles requiring only a high school diploma or equivalent. Familiarity with online crowdsourcing platforms such as Amazon Mechanical Turk, Appen, or Clickworker and basic computer literacy are important for navigating job tasks and maximizing efficiency. Self-motivation, adaptability, and reliability help crowd workers stand out, especially when handling repetitive or varied microtasks. These skills allow workers to efficiently complete tasks, ensure quality results, and secure ongoing opportunities in an independent, remote work setting.

What does a crowd worker do?

A typical day for a Crowd Worker involves logging onto one or more online platforms to claim and complete available microtasks, which can range from data entry and image tagging to survey participation or content moderation. You usually work independently from a remote location and can set your own hours, giving you flexibility but also requiring strong self-management skills. Work volume can fluctuate based on demand and your chosen platforms, so checking for new tasks regularly is important. While the work tends to be solitary, some tasks may have community forums or messaging systems for sharing tips and clarifying instructions. Staying organized and consistent helps you maximize productivity and earnings in this role.

What are the most commonly searched types of Crowd Worker jobs in California? The most popular types of Crowd Worker jobs in California are:
What are popular job titles related to Crowd Worker jobs in California? For Crowd Worker jobs in California, the most frequently searched job titles are:
What job categories do people searching Crowd Worker jobs in California look for? The top searched job categories for Crowd Worker jobs in California are:
What cities in California are hiring for Crowd Worker jobs? Cities in California with the most Crowd Worker job openings:
Crowd Worker jobs near you
Infographic showing various Crowd Worker job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,429 per year, or $21.4 per hour.

Product Management, Human Data Platform

Anthropic

San Francisco, CA • On-site

Full-time

Re-posted 14 days ago

Job description

About the Role

Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs - and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.

Responsibilities
  • Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
  • Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
  • Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
  • Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
  • Sit in on crowd worker and vendor sessions to systematically understand pain points
  • Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores
Minimum QualificationsYou May Be a Good Fit If You
  • Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
  • Are drawn to ambiguous, high-stakes environments where you'll play a big role in defining the product strategy
  • Shipped products where they had to deeply understand technical constraints, not just translate requirements
  • Experience working directly with research teams, ideally in AI/ML contexts
  • Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
  • Are a quick study-this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
  • Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
Preferred Qualifications
Strong Candidates May Also Have
  • Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
  • Experience working with researchers who are internal users/customers 
  • Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
  • Strong project management skills: prioritization, communicating across team/org boundaries

The ideal candidate has the following virtues/values:

  • Have 5+ years in product management, with experience launching new products and scaling existing products. 
  • Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
  • Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
  • Researcher EQ: Deep understanding of how researchers think and what motivates them
  • Product creativity: Ability to see novel product opportunities emerging from research capabilities
  • Founder mentality: Track record of doing whatever it takes to ship highly technical products

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