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Remote Data Cleaning Jobs in Reno, NV (NOW HIRING)

Architectural Historian

Reno, NV · Remote

$35 - $40/hr

... data. * Successfully complete field surveys and architectural study reviews * Evaluate ... California, Nevada, Washington, Utah, Oregon, Idaho, Colorado, and Arizona #LI-Remote Skills ...

Remote Data Cleaning information

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What are the key skills and qualifications needed to thrive as a Remote Data Cleaning Specialist, and why are they important?

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.
What are the most commonly searched types of Data Cleaning jobs in Reno, NV? The most popular types of Data Cleaning jobs in Reno, NV are:
What are popular job titles related to Remote Data Cleaning jobs in Reno, NV? For Remote Data Cleaning jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleaning jobs in Reno, NV look for? The top searched job categories for Remote Data Cleaning jobs in Reno, NV are:
What cities near Reno, NV are hiring for Remote Data Cleaning jobs? Cities near Reno, NV with the most Remote Data Cleaning job openings:

AI-Native UI React Engineer (Remote)

PropertyRadar.com

Truckee, CA • Remote

$140K - $210K/yr

Full-time

Re-posted 15 days ago


Job description

Read this first

If you bring an obsession with creating elegant, intuitive user experiences and the technical know how to bring them to life along with AI-first development practices, please read on.

We are betting the engineering org on agentic coding. Our team has already made the transition. Cursor is our primary development environment, and we hire engineers who orchestrate AI agents to ship at multiples of traditional velocity not engineers who use AI to autocomplete the occasional function. We use agentic coding to ship faster, but the bar is not speed alone it's turning complex data into experiences that feel obvious, elegant, and useful.

If I use Cursor/Claude Code for everything now describes you, keep reading. If you are still warming up to agentic workflows, this isn't the role.About PropertyRadar

PropertyRadar is the hyperlocal lead generation platform that property-centric small businesses use to discover, understand, and connect with new opportunities. We turn complex public records data into actionable insights for real estate investors, agents, lenders, and home services pros.

We've been doing this since 2007. We're profitable, owner-operated, and small enough that what you ship matters every release moves the business. We're investing in a modern data and frontend platform to power the next decade of growth, and we're hiring engineers who can help us build it.The role

You will build a UI/UX that delights end users by combining chat-based interactions with rich, embedded product experiences. The bar is a highly intuitive experience that keeps users focused on their goals instead of forcing them to stop and learn how PropertyRadar works. You'll create the composable React widget framework and reusable, data-rich interfaces that bring PropertyRadar's property and owner data into new contexts. This is greenfield frontend work with direct visibility to the VP of Engineering, CEO, and Founder, and you'll work closely with all three on scope and tradeoffs.Why this is a rare role

  • Greenfield, with revenue behind it. You get the blank slate of a startup with the distribution and cash flow of an 18-year-old profitable business.
  • Small team, large surface area. You own end-to-end delivery, not a slice of a slice.
  • Real users, real data. Property and owner data is one of the richest, messiest, most useful datasets in the small-business economy. You'll build the user experience of making this messy, high-value data feel intuitive and actionable.
  • AI-first by mandate. You're joining an engineering culture where agentic coding is the standard, not the experiment.
The stack
  • React 18, TypeScript, Tailwind, Radix primitives
  • Vite as the bundler for both widgets and the host shell
  • OpenAI component kit
  • JSON-RPC 2.0 over for iframe host communication, following emerging AI-host bridge standards
  • Sandboxed iframes with strict CSPs and well-understood cross-origin behavior
What you'll build
  • A composable React widget framework designed to run across multiple embedding contexts sandboxed iframes, web components, shadow DOM with a consistent component model and clean developer ergonomics.
  • Property and owner data experiences: profile views, owner detail panels, interactive maps, lead-gen flows, and outreach actions, all designed to be embedded and reused.
  • AI-powered features within the widgets, integrating LLM capabilities to make data exploration and lead workflows faster and more intuitive.
  • A reusable component library with strong UX, pixel-accurate polish, and accessibility built in.
What we expect of you
  • Bring product taste and craft. You care about the difference between it works and this feels great to use, and you can implement at a pixel level.
  • Ship at agentic-native velocity. We're hiring engineers who deliver materially faster than traditional React teams because Cursor (and other agentic tools) are the primary way they work.
  • Own the spec. Ask sharp clarifying questions, make sound tradeoffs, and ship. We don't hand you tickets.
  • Raise the team's ceiling. Share patterns, prompts, and orchestration techniques that make everyone faster.

About you non-negotiableUser Experience

    • You know how to make dense, data-heavy interfaces feel clear through hierarchy, defaults, progressive disclosure, and state design.
    • You sweat the details: empty states, loading states, error states, interaction polish, and accessibility are part of the product, not cleanup work.
    • You bring deep experience with component libraries and/or design-system engineering, with a strong eye for consistency, usability, and polish.
    • You've supported customer bases of thousands to millions.
    Agentic-native development
    • Cursor (or Claude Code) is your primary IDE not a tool you reach for occasionally.
    • You can describe specific recent projects where agentic coding meaningfully changed your output velocity and quality with examples.
    • You have opinions on agent orchestration: how to scope work for agents, when to break it up, how to review agent output, when to step in manually.
    • Bonus: you've built or contributed to agent workflows, custom Cursor rules, or developer tooling for AI-assisted engineering.

    Expert React + TypeScript

    • Deep working knowledge of React 18, TypeScript, Tailwind, and Radix primitives.
    • Production experience with Vite as a build tool for libraries, applications, or both.
    • You architect complex React frontends comfortably and reach for the right pattern, not the familiar one.
    • You've built data-heavy UIs at scale complex tables, filters, maps, sorting, pagination and you know how to make them performant.
    • You've integrated REST and GraphQL APIs with thoughtful loading, error, and edge-case handling.

    Embedding and iframe craft

    • You've built or shipped against sandboxed iframe architectures and understand the security model end-to-end.
    • You can write and reason about Content Security Policies without reaching for documentation.
    • You've implemented protocols between iframe and host ideally JSON-RPC 2.0 over or a similar structured pattern and you understand origin checks, message validation, and the failure modes.
    • Cross-origin behavior, third-party cookie restrictions, and the practical workarounds for embedded apps are familiar territory.
    Ownership and judgment
    • You don't wait for perfect specs. You drive clarity.
    • You communicate concisely in writing important on a remote, async team.

    Bonus points

    • Hands-on experience with the OpenAI component kit, or comparable embedded-app component libraries. This is a magnet bonus.
    • You've shipped widgets or embedded apps that run inside a third-party host environment.
    • Mapping libraries: Mapbox, Leaflet, Google Maps.
    • PropTech, real estate data, or products built for small businesses.
    • You've owned a design system or component platform used across multiple products or embedding contexts.
    • You've already been through an AI-first eng transformation at another company you can help us avoid mistakes.

    How we work

    • Remote-first, async-friendly, US-based hours.
    • Small senior team direct access to VP of Engineering, CEO, and Founder on this initiative.
    • EOS as our operating framework clear quarterly Rocks, weekly accountability, no surprise priorities.
    • Profitable, owner-operated, no VC pressure. We move fast because we choose to, not because a clock is ticking.