Position Title: Lead Scraper / Lead Generation Specialist Work Set-up: Onsite Salary: Php 30,000 Schedule:10:00PM – 6:30AM PHT Holiday: US Responsibilities as a Lead Scraper / Lead Generation Specialist Key Responsibilities: Conduct manual lead to research and scraping
Position Title: Lead Scraper / Lead Generation Specialist Work Set-up: Onsite Salary: Php.30,000 Holiday: US Our client is a successful company specializing fisheries export that provide fresh, quality fish to customers without harming the environment. They are
Position Title: Lead Scraper / Lead Generation Specialist Work Set-up: Onsite Salary: Php.30,000 Holiday: US Responsibilities as a Lead Scraper / Lead Generation Specialist Key Responsibilities: • Conduct manual lead to research and scraping to identify businesses that
Position Title: Lead Scraper / Lead Generation Specialist Work Set-up: Office-Based (Clark, Pampanga) Work Schedule: Monday-Friday; 10:00 PM – 06:30 AM PHT Holidays to Follow: United States of America (US) Salary Package: Php 30,000.00 Key Responsibilities: Conduct
Position Title: Lead Scraper / Lead Generation Specialist Work Set-up: Onsite Salary: Php.30,000 Holiday: US Our client is a successful company specializing fisheries export that provide fresh, quality fish to customers without harming the environment. They are committed
Company Description KinoSec.ai is building an autonomous offensive security platform, described as the “Palantir for Offensive Cyber Operations.” The company is developing a multi-phase system that begins by replacing traditional manual penetration tests with fast, automated
1.1 Responsibilities include preparing and restoring construction/ship repair sites, maintaining the cleanliness of facilities, equipment and/or project vessel; handling most of the hand tools, assembling scaffoldings, restoring/cleaning used tools, determining defects on sites. 1.2 Performs fire
Specification-Driven Extraction Engineering: Design and maintain declarative extraction specifications—using Pydantic models, JSON schemas, or domain-specific languages—that describe exactly which fields to capture, their types, and validation rules. Implement pipelines that translate these specifications into executable extraction