## About the Role A data analysis firm is seeking an AI Data Engineer & Web Scraping Specialist to conduct advanced web research, perform data extraction using Python, and support quality assurance across data projects. The role involves solving technical problems and creating structured datasets while working independently in a remote environment.
This fully remote opportunity combines web research, data extraction, Python, data quality, and AI-supported workflows, with compensation of up to $32 per hour based on experience and skills.
## Key Responsibilities
Conduct advanced web research for various data projects.
Perform data extraction using Python.
Collect and organize information from web-based sources.
Create structured datasets from extracted information.
Perform quality assurance on collected and structured data.
Identify and solve technical problems related to data extraction and research tasks.
Support data analysis projects through accurate and well-structured datasets.
Work independently on assigned technical and data-related tasks.
Use AI-supported workflows to enhance research and data project activities.
## Required Qualifications
Experience or proficiency with Python for data extraction.
Ability to conduct advanced web research.
Ability to extract, organize, and structure data.
Strong problem-solving skills.
Ability to perform quality assurance and maintain data accuracy.
Ability to work independently in a remote environment.
Ability to work with AI-supported tools and workflows.
## Preferred Qualifications The provided job information does not specify additional preferred qualifications, degrees, certifications, or specific years of experience.
## Skills & Competencies
Python
Web Scraping
Web Research
Data Extraction
Data Engineering
Structured Data
Dataset Creation
Data Quality Assurance
Quality Control
Data Analysis
Technical Problem Solving
AI-Assisted Workflows
Research
Data Organization
Independent Work
Remote Work
## Education & Experience The provided job information does not specify a required degree, certification, or minimum number of years of professional experience.
Compensation is stated to vary based on experience and skills.
## Work Arrangement & Schedule
Work Arrangement: Fully Remote
Location: San Antonio, Texas, United States The role allows candidates to work independently on assigned tasks.
Specific working hours or shift requirements are not provided.
## Compensation
Pay: Up to $32 per hour
Compensation is based on experience and skills.
Additional benefits, paid time off, insurance, retirement plans, and other employment benefits are not specified in the provided job information.