Role Description We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language (Italian). This is a long-term, remote gig. No prior experience is required. On the job training will be provided. You will work on a variety of projects for our client that require native proficiency in your language. This could include but is not limited to: - Review content in your native language (e.g., newspaper articles, website screenshots, advertisements) - Draw bounding boxes around specific elements as instructed (e.g., highlight the commercial aspect of an article) - Answer structured questions about the content - Write short summaries when required - Follow clear annotation guidelines to ensure quality and consistency Qualifications - Native or highly fluent speakers of the target language - Students, freelancers, part-time workers, or anyone seeking flexible short-term work - People comfortable following written instructions on a computer Requirements - Strong reading comprehension in your language - Basic computer skills (no technical background needed) - Attention to detail - Ability to follow structured instructions Benefits - Duration: Minimum 6 months (Long-term Project) - Pay Rate: $4.5 USD / hour - Hours: 30–40 hours/week - Location: Fully remote - Work: Not voice-based — text and image annotation only - No Interview, only assessment: 15–20 minute language skills assessment Company Description You will be contracted by Careerflow on behalf of one of our clients.

Role Description We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language (Danish). This is a long-term, remote gig. No prior experience is required. On the job training will be provided. What You Will Do - Review content in your native language (e.g., newspaper articles, website screenshots, advertisements) - Draw bounding boxes around specific elements as instructed (e.g., highlight the commercial aspect of an article) - Answer structured questions about the content - Write short summaries when required - Follow clear annotation guidelines to ensure quality and consistency Qualifications - Native or highly fluent speakers of the target language - Students, freelancers, part-time workers, or anyone seeking flexible short-term work - People comfortable following written instructions on a computer Requirements - Strong reading comprehension in your language - Basic computer skills (no technical background needed) - Attention to detail - Ability to follow structured instructions Role Details - Duration: Minimum 6 months (Long-term Project) - Pay Rate: $8 USD / hour - Hours: 30–40 hours/week - Location: Fully remote - Work: Not voice-based — text and image annotation only - No Interview, only assessment: 15–20 minute language skills assessment

• Design and build scalable ETL/ELT pipelines using both batch and streaming approaches. • Develop ingestion workflows from multiple sources such as databases, APIs, and event streams. • Implement ingestion strategies including full load, incremental load, and CDC. • Orchestrate data workflows using Apache Airflow. • Manage data connectors using Airbyte. • Work with Databricks Lakehouse to build and optimize data processing pipelines. • Write and optimize complex SQL queries for analytics and transformation. • Build modular and testable data models using dbt (staging → intermediate → marts). • Maintain data quality, observability, and reliability across the platform. • Work with AWS services such as S3, Lambda, EC2, IAM. • Containerize data services using Docker and Kubernetes (EKS) when needed. • Document pipelines, data models, and data dictionaries for long-term maintainability.

Role Description We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture. This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments. - Design and implement scalable, high-performance data pipelines for structured and unstructured data - Build and maintain enterprise-grade data architecture across cloud and on-prem environments (AWS, Azure, or GCP) - Define and implement data modeling strategies (data warehouses, data lakes, real-time streaming) - Collaborate with business stakeholders to translate requirements into technical solutions - Ensure data quality, governance, security, and compliance across all data assets - Perform complex data analysis and support reporting and analytics initiatives - Evaluate and recommend modern tools, frameworks, and best practices in data engineering - Integrate data from multiple sources and optimize data performance - Provide technical direction and architectural guidance across data projects Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field - 6+ years of experience in data engineering and data architecture in enterprise environments - Hands-on experience with Snowflake is required - Strong experience with ETL/ELT pipelines, data lakes, and data warehouses - Hands-on experience with cloud platforms (AWS, Azure, or GCP) - Proficiency in SQL and at least one programming language (Python, Java, or Scala) - Experience with streaming technologies (Kafka, Spark Streaming, or similar) - Strong understanding of data modeling, dimensional modeling, and schema design - Knowledge of data governance, security, and compliance - Strong problem-solving skills and ability to work independently - Excellent communication skills with both technical and non-technical stakeholders Requirements - Nice to Have - Experience working in Middle East markets or familiarity with Saudi Arabia regulations - Exposure to AI/ML integration within data pipelines - Cloud certifications (AWS, Azure, or GCP Data Engineering certifications) - Experience with BI tools (Power BI, Tableau, Looker, or similar)