Role Description We are looking for detail-oriented Search & Data Labeling Raters to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience. - Analyze and understand the intent behind customer search queries - Identify product types (PT) and relevant attributes (e.g., brand, size, color) within queries - Evaluate the relevance between search queries and product listings using defined guidelines (ESCI framework) - Determine product availability and validate product links - Provide accurate, consistent, and high-quality annotations - Follow project guidelines and meet productivity and quality benchmarks Qualifications - Strong analytical and comprehension skills - Ability to understand e-commerce search behavior - High attention to detail and accuracy - Basic understanding of online shopping platforms - Proficiency in the required language - Ability to follow detailed guidelines and work independently Requirements - Freelance contract - Pay Rate: $5 USD/hour - Location: Morocco Benefits - ✨ Limitless Flexibility: Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy. - 🌱 Limitless Growth: Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise. - 🌍 Limitless Support: Be part of a global contributor community with responsive guidance and support. - 💡 Real Impact: Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills. Company Description Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

• Design and manage data systems, pipelines, and management tools • Oversee junior data engineers, recommend and deploy data models, and lead projects involving data collection and storage systems • Collaborate with data architect, analysts, and stakeholders to identify and document needs/requirements for data pipelines and process automation • Design, build, document, test, and maintain data pipelines using industry best practices • Perform ETL, ELT operations in accordance with enterprise data governance and security standards • Develop data quality and governance process to ensure the accuracy and quality of the data through inspection, validation, processing, anomaly detection

• Collaborate with data architect, analysts, and stakeholders to identify and document needs/requirements for data pipelines and process automation • Design, build, document, test, and maintain data pipelines using industry best practices • Performs ETL, ELT operations in accordance with enterprise data governance and security standards • Develop data quality and governance process to ensure the accuracy and quality of the data through inspection, validation, processing, anomaly detection

• Analysis and Planning of Loads/Pipelines: • Assess the data warehouse architecture and requirements. • Map data, transformations and processes in GCP services (Cloud Storage, BigQuery, Dataproc). • Define data migration strategy (full load, incremental, CDC). • Develop a data architecture plan on GCP. • Design and Data Modeling on GCP: • Design table schemas in BigQuery, considering performance, cost and scalability. • Define partitioning and clustering strategies for BigQuery. • Model data zones in Cloud Storage (Bronze, Silver and Gold). • ELT/ETL Pipeline Development: • Create data transformation routines using Dataproc (Spark) or Dataflow to load data into BigQuery. • Translate business logic and existing transformations into GCP. • Implement data validation and data quality mechanisms. • Infrastructure Provisioning and Management: • Use IaC tools (Terraform) to provision and manage GCP resources (BigQuery datasets/tables, Cloud Storage buckets, Dataproc clusters). • Configure and optimize Dataproc clusters for different workloads. • Manage networking, security (IAM) and access in GCP. • Performance and Cost Optimization: • Optimize queries in BigQuery to reduce costs and improve performance. • Tune and optimize Spark jobs on Dataproc. • Monitor and optimize GCP resource usage to control costs. • Data Security and Governance: • Implement and ensure data security in transit and at rest. • Define and apply IAM policies to control access to data and resources. • Ensure compliance with data governance policies. • Monitoring and Support: • Troubleshoot performance and functional issues of data pipelines and GCP resources. • Documentation: • Document the architecture, data pipelines, data models and operational procedures. • Communication: • Communicate effectively with team members, stakeholders and other areas of the company. • Ensure clear communication between architecture definitions and software components, and the evolution and quality of the team's deliverables. • Jira / Agile Methodologies: • Be familiar with agile methodologies, their ceremonies, and be proficient with the Jira tool.