Role in brief
Wynd Labs is building Grass, a network to make public web data available for AI, and needs a Web Scraping Specialist. This role involves designing, implementing, and maintaining data extraction pipelines. It suits a self-directed individual with strong technical skills in web scraping and database management who wants to contribute to an ambitious, high-impact project.
About the role
This role focuses on leading data extraction for Grass, a project by Wynd Labs that aims to make public web data accessible for AI. The specialist will be responsible for the entire data pipeline, from writing and testing extraction code to cleaning and storing the data. This includes navigating complex web structures like pagination and dynamic content, and ensuring the extracted data meets quality standards for further use.
The successful candidate will manage scraped data within databases, optimizing for both access speed and data integrity. Continuous monitoring of scraping processes and resolving issues to maintain an uninterrupted data flow are also key responsibilities. This position requires a proactive approach to ensure reliable and efficient data acquisition.
Wynd Labs operates with a lean, highly motivated team that values initiative and autonomy. The organizational structure is flat, meaning individuals making decisions are also responsible for their implementation. This environment is driven by ambitious goals and a sense of urgency, offering leadership opportunities to those who consistently deliver excellence and foster collaboration.
The compensation for this role ranges from $70,000 to $140,000 USD annually, complemented by an equity package.
Skills that matter here
- Python: This language is essential for writing and refining code to extract data from various online sources.
- JavaScript: Proficiency in this language is required for developing robust web scraping solutions, especially for dynamic content.
- Scrapy: This framework will be used to build efficient and scalable web crawling and data extraction systems.
- Selenium: This tool is necessary for handling complex web interactions and dynamic content during data retrieval.
- NoSQL: Experience with NoSQL databases like MongoDB or Cassandra is needed for designing efficient storage solutions and managing extracted data.
- AWS: Knowledge of cloud services like AWS is valuable for deploying and managing scraping jobs at scale.
Who this role suits
- You are highly self-motivated and thrive in environments where you have significant autonomy and responsibility.
- You are driven by ambitious goals and enjoy working with a sense of urgency to achieve them.
- You possess a low ego, are focused on high output, and contribute positively to a collaborative team culture.
- You are curious and enjoy challenging yourself to solve complex technical problems in data extraction.
From the employer
- Write, test, and refine code that extracts data from various online sources, ensuring reliability and efficiency.
- Perform data retrieval tasks, handling complexities such as pagination and dynamic content loaded with AJAX.
- Clean and format extracted data, ensuring it meets quality standards for further analysis or processing.
- Database management: Store and manage the scraped data in appropriate databases, optimizing for access speed and data integrity.
- Regularly monitor the scraping processes, identify and resolve any issues to maintain continuous data flow.
- Demonstrated ability to extract data from complex websites with minimal supervision, with a portfolio or examples of past projects.
- Proficiency in languages such as Python or JavaScript, with strong skills in libraries and frameworks like BeautifulSoup, Scrapy, or Selenium.
- Knowledge of asynchronous programming, multithreading, and distributed scraping.
- In-depth knowledge of HTML, CSS, JavaScript, and the Document Object Model (DOM).
- Experience with NoSQL databases (MongoDB, Cassandra), capable of designing efficient storage solutions and managing data integrity.
- Ability to apply machine learning algorithms for data cleaning, categorization, or predictive analysis adds significant value.
- Experience with cloud services (AWS, Google Cloud, Azure) for deploying and managing scraping jobs at scale.
- Active participation in open-source projects related to web scraping, data processing, or similar fields.
- 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.
Questions about this role
What is the remote work policy for this role?
This is a fully remote position, allowing candidates to work from any location.
What is the expected salary range for this position?
The salary for this role ranges from $70,000 to $140,000 USD, in addition to an equity package.
What kind of experience is required for this role?
Candidates should have demonstrated ability to extract data from complex websites with minimal supervision, proficiency in Python or JavaScript with relevant libraries, knowledge of asynchronous programming, and experience with NoSQL databases and cloud services.