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$10

$33

$74

How much do remote data labeling jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote data labeling in Reno, NV is $33.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.65 and $45.27 per hour, depending on experience, location, and employer.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the key skills and qualifications needed to thrive in the Remote Data Labeling position, and why are they important?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What are some common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.
More about Remote Data Labeling jobs
What are the most commonly searched types of Data Labeling jobs in Reno, NV? The most popular types of Data Labeling jobs in Reno, NV are:
What job categories do people searching Remote Data Labeling jobs in Reno, NV look for? The top searched job categories for Remote Data Labeling jobs in Reno, NV are:
What cities near Reno, NV are hiring for Remote Data Labeling jobs? Cities near Reno, NV with the most Remote Data Labeling job openings:
Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Reno, NV as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $69,711 per year, or $33.5 per hour.
AI-Native React Engineer, Embeddable Widgets and AI-Powered Frontends,

AI-Native React Engineer, Embeddable Widgets and AI-Powered Frontends,

Pop-Up Talent

Truckee, CA • Remote

$140K - $210K/yr

Full-time

Medical

Posted 19 hours ago

Job description

AI-Native React Engineer – Embeddable Widgets & AI-Powered Frontends (Greenfield)
Remote (US-based)

  • Type: Full-time
  • Compensation: $140,000–$210,000 base (higher possible for exceptional agentic-native candidates)
  • Reports to: VP of Engineering (direct CEO visibility)

 
OVERVIEW:

  • This is a greenfield frontend engineering role focused on building a composable React widget framework and embeddable, data-rich frontend experiences powered by AI
  • The company is a profitable, owner-operated platform transforming complex property and public records data into actionable insights for small businesses. The team is investing heavily in a modern frontend and data platform to support its next stage of growth
  • The engineering culture is AI-first and agentic-native, with Cursor as the primary development environment. Engineers are expected to use AI agents as a core part of their workflow to achieve significantly higher development velocity—not just occasional AI-assisted coding

 
ROLE OVERVIEW:

  • You will lead the design and development of a composable widget system that can be embedded across multiple environments (iframes, web components, shadow DOM, sandboxed contexts)
  • You will define architecture, component models, and developer experience for a new frontend platform while working closely with executive leadership on product direction and tradeoffs

 
WHAT YOU’LL BUILD:

  • A composable React widget framework for embeddable environments
  • Data-rich UI experiences (property profiles, owner views, interactive maps, lead workflows)
  • AI-powered frontend features integrated with LLMs for data exploration and user workflows
  • A reusable component library with strong UX, accessibility, and developer usability

 
KEY RESPONSIBILITIES:

  • Design and implement a scalable React + TypeScript widget framework
  • Build data-heavy UIs (tables, filters, maps, pagination, sorting)
  • Integrate REST and/or GraphQL APIs
  • Design for sandboxed embedding environments (iframes, CSP, host-guest communication)
  • Own architecture decisions and system design for frontend platform
  • Collaborate closely with leadership on scope, tradeoffs, and roadmap
  • Ensure performance, UX quality, and maintainability at scale

 
REQUIRED EXPERIENCE & SKILLS:

  • Strong experience with React + TypeScript at scale
  • Experience building data-heavy, complex frontend applications
  • Experience with embeddable or widget-based systems (or similar architecture work)
  • Experience with sandboxed iframe environments and CSP considerations
  • Strong understanding of API integration (REST and/or GraphQL)
  • Ability to operate in high-ownership, ambiguous, greenfield environments
  • Experience using modern frontend tooling (Tailwind, component libraries, etc.)
  • Strong communication and product thinking
     

EXPERIENCE REQUIREMENT:

  • Must have experience building and shipping applications serving thousands to millions of users, with the ability to clearly describe the product(s) worked on and specific technical contributions (e.g., architecture, features, performance, and impact at scale)

 
AGENTIC / AI-NATIVE REQUIREMENT:

  • Cursor (or similar tools) used as primary development environment
  • Experience using AI tools to meaningfully accelerate engineering output
  • Clear understanding of agent workflows, task decomposition, and review practices
  • Ability to combine human judgment with AI-driven development workflows


BONUS EXPERIENCE:

  • Embeddable / white-label widget systems
  • Mapbox, Leaflet, or Google Maps
  • Real estate / property tech platforms
  • Design systems or component library architecture
  • Experience transitioning teams into AI-first engineering workflows

 
We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities.
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