AI Pilot: Remote Web Scraping & Data Extraction Pro

Mindrift; Ciudad de México; A distancia; MXN 357.942 - 501.119; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Competitive pay up to $21/hour

Flexible remote work schedule

Participation in performance-based bonuses

Descripción de la vacante

A technology company is seeking an AI Pilot in Mexico for a part-time remote position with a focus on data scraping workflows. Candidates should have strong Python skills and at least a year of experience in data analysis or software development. The role emphasizes data accuracy and collaboration with AI agents, making it ideal for professionals looking to enhance their skills. Competitive compensation up to $21/hour based on experience is offered, along with flexible work schedules.

Formación

• At least 1 year of relevant experience in data analysis, AI automation, or software development.
• Ability to build scraping scripts for multi-level sites and dynamic content.
• Experience with delivering high-quality datasets in structured formats.

Responsabilidades

• Own end-to-end data extraction workflows across complex websites.
• Ensure reliable extraction from dynamic web sources.
• Enforce data quality standards through validation checks.

Conocimientos

Data analysis

Data extraction

Python web scraping

Attention to detail

English proficiency (B2)

Educación

Bachelor's or Master's Degree in Engineering, Applied Mathematics, or Computer Science

Herramientas

BeautifulSoup

Selenium

Apify

OpenRouter

Descripción del empleo

A technology company is seeking an AI Pilot in Mexico for a part-time remote position with a focus on data scraping workflows. Candidates should have strong Python skills and at least a year of experience in data analysis or software development. The role emphasizes data accuracy and collaboration with AI agents, making it ideal for professionals looking to enhance their skills. Competitive compensation up to $21/hour based on experience is offered, along with flexible work schedules.