Data & AI Specialist - Data Scraping, Enrichment & Quality Assurance

Overview

We’re looking for a data-obsessed explorer who can build and maintain pipelines that collect, clean, and enhance large volumes of data, then apply AI tools to keep it accurate, useful, and ready for analysis. This is initially a project-based role with the possibility of evolving into a full-time contract based on performance and business needs.

Key Responsibilities

• Data Acquisition & Scraping
• Design, develop, and maintain scalable web-scraping systems and APIs to collect structured and unstructured data from diverse sources.
• Ensure compliance with data privacy laws (GDPR, CCPA) and site-specific terms of service.
• Data Enrichment & Transformation
• Implement pipelines to clean, normalize, and enrich raw data using third-party datasets, NLP (natural language processing), and machine learning techniques.
• Build automated matching and deduplication processes to maintain a unified source of truth.
• Quality Assurance & Monitoring
• Create automated QA checks to validate data accuracy, completeness, and consistency.
• Set up monitoring and alert systems to catch anomalies or pipeline failures early.
• AI & Process Optimization
• Integrate AI models for entity extraction, text classification, and predictive enrichment.
• Work with the data science team to design features that feed analytics and machine learning models.
• Collaboration & Documentation
• Partner with product, engineering, and analytics teams to define data requirements and priorities.
• Maintain clear technical documentation and data lineage records.

Requirements

Nice-to-Have

Traits for Success

Benefits

Remote work.

Flexible work schedule .

Opportunity for a long term contract .