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Wynd LabsWL

Full Stack Engineer

Grass is a decentralized network that allows users to sell their unused internet bandwidth to companies and AI labs for web scraping and data collection, rewarding users with points that can be converted to network ownership.

Wynd Labs

Employee count: 11-50

Salary: 180k-300k USD

Full Stack Engineer

$180k - $300k

Who We Are.

Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.

Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.

In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).

This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

The Role.

We are seeking a Full Stack Engineer who is passionate about building robust, scalable applications and brings substantial experience in both front-end and back-end development. You will join a dynamic, forward-thinking team and play a pivotal role in creating and optimizing our platform, supporting our vision for an integrated and cutting-edge user experience.

Who You Are.

  • Strong proficiency in React (Material UI, Chakra UI).
  • Solid experience with back-end technologies such as Node.js, Go, Redis and familiarity with databases (SQL and NoSQL).
  • Exceptional problem-solving skills and a deep understanding of both client-side and server-side architecture.
  • Proven ability to work collaboratively with cross-functional teams, including designers, product managers, and other engineers.
  • A track record of delivering high-quality, maintainable code and contributing to significant projects.

What You'll Be Doing.

  • Develop and maintain both front-end and back-end components of our application, ensuring seamless integration and optimal performance.
  • Collaborate with product managers and designers from initial concept through to deployment, translating ideas into functional and user-friendly solutions.
  • Optimize application performance, security, and scalability to enhance the overall user experience and meet business goals.
  • Participate in code reviews, contribute to best practices, and continuously improve development processes.
  • Stay abreast of emerging technologies and industry trends, integrating new tools and methodologies to keep our tech stack modern and efficient.
  • Troubleshoot and resolve complex technical issues, providing timely solutions and maintaining system reliability.

Why Work With Us.

  • Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
  • Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
  • Compensation. You’ll receive a competitive salary and equity package.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 180k-300k USD

Location requirements

Open to candidates from all countries.

Hiring timezones

Worldwide

About Wynd Labs

Learn more about Wynd Labs and their company culture.

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At Grass, we are spearheading a technological breakthrough in how the internet's resources are utilized and monetized, positioning ourselves as the foundational data layer of AI. Through groundbreaking technology, Grass is revolutionizing the way individuals can contribute to and benefit from the burgeoning AI economy. Our innovative platform enables users to share their unused internet bandwidth, transforming a typically idle resource into a valuable asset. This process is achieved via a simple browser extension that operates discreetly in the background, ensuring user privacy is paramount by not accessing or storing any personal data, browsing history, or files. Verified companies and research institutions can then securely utilize this aggregated bandwidth to scrape public web data, which is crucial for training AI models and conducting market research. This decentralized approach to data collection democratizes access to web data, empowering smaller AI labs and developers to compete with larger entities by providing them with the vast datasets they require.

Grass is committed to building a more equitable internet where the benefits of technological advancements are shared. By participating in the Grass network, users earn Grass Points, which are anticipated to convert into network ownership, effectively allowing individuals to earn a stake in the AI revolution. This model not only provides a passive income stream for users but also fosters a transparent and trustworthy ecosystem for data provisioning. We are dedicated to upholding the highest industry standards, ensuring our operations are secure and that all participating institutions are thoroughly vetted. Our technology is designed to be non-intrusive, utilizing only a small fraction of unused bandwidth without impacting the user's internet speed or online experience. Through this innovative framework, Grass is not just facilitating AI development; it's creating a new paradigm where ordinary internet users become active participants and beneficiaries in the future of artificial intelligence, fostering a collaborative and fair digital landscape.

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