Web Scraper

$30 - $80/hourpay

Required Skills

python
scrapy
selenium
html
css
javascript
rest-api
json
xml
data-cleaning
data-manipulation
nosql
relational-databases
web-security
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

Job Description

Job Title: Web Scraper

Job Type: Contractor (Part-time)

Location: Remote


Job Summary:

Join our customer’s team as a Web Scraper, where you’ll leverage your expertise to extract, process, and analyze data from diverse online sources. In this expert-level role, you’ll collaborate closely with other specialists to deliver clean, reliable data solutions that power critical decision-making. You will play a key role in ensuring data integrity while working in a dynamic remote environment.


Key Responsibilities:

- Design, develop, and maintain robust web scraping scripts and applications

- Perform data extraction from multiple websites, handling both static and dynamic content

- Clean, validate, and structure large volumes of scraped data for further analysis

- Monitor scraping pipelines for data quality and troubleshoot scraping failures

- Implement solutions to bypass anti-scraping mechanisms and maintain scraping effectiveness

- Collaborate with customer’s team members to define data requirements and deliverables

- Document scraping processes and maintain code for scalability and reusability


Required Skills and Qualifications:

- Proven experience in building and maintaining web scrapers using tools such as Python, Scrapy, Selenium, or similar technologies

- Strong understanding of HTML, CSS, JavaScript, and web protocols

- Expertise in handling APIs, RESTful interfaces, and parsing JSON/XML data

- Excellent written and verbal communication skills, with the ability to convey technical information clearly

- Proficiency with data cleaning, manipulation, and storage using relational or NoSQL databases

- Knowledge of web security concepts and best practices for ethical scraping

- Demonstrated ability to troubleshoot and resolve issues autonomously


Preferred Qualifications:

- Experience with cloud-based scraping and deployment (AWS, Azure, or GCP)

- Familiarity with version control systems like Git

- Background in large-scale data extraction projects

Apply now

Please note that after completing the interview process, you’ll be added to our talent pool and considered for this and other roles that match your skills.

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