Role Description We’re looking for specialized contributors to help build a high-quality dataset of complex, instruction-following prompts for video composition AI systems. This project supports the development of next-generation AI by simulating real-world enterprise user requests across industries and use cases. What You’ll Do - Create Copilot-style prompts based on defined personas and enterprise scenarios - Work on tasks such as document summaries, video highlights, and business use cases - Review short narratives and select relevant visuals from a pre-approved library, then generate prompts Requirements - Prior corporate/professional experience preferred - Must complete behavioral pre-screening and KYC verification - High-quality, instruction-following output required Benefits - Contribute to cutting-edge AI systems used for video understanding and generation - Work on meaningful, real-world enterprise scenarios - Flexible, task-based participation - Fully remote and asynchronous work Payment Details - Project-based opportunity - Paid per completed prompt - Compensation depends on task complexity and approval quality - Only approved outputs will be eligible for payment How to Get Started - Apply to the project. - If selected, you will receive an email from CrowdGen to create your account. - Log in, reset your password, and complete the onboarding requirements. - Review the project guidelines and recording requirements. - Begin participating and submitting qualifying recordings. Company Description This role is a project-based opportunity with CrowdGen, where you will participate as an Independent Contractor. If selected, you will receive instructions to create your account, complete onboarding, and begin the qualification process. Compensation: $18 - $18 an hour

Role Description At ANS, the Data Solution Architect is pivotal in shaping and delivering end-to-end data solutions that align with business objectives and technical standards. This role focuses on designing robust, scalable architectures that enable seamless data integration, advanced analytics, and secure data management across diverse platforms. Working closely with engineers and stakeholders, the Data Solution Architect ensures that solutions are not only technically sound but also optimised for performance, reliability, and future growth. While hands-on implementation may occasionally be required, the primary responsibility lies in defining architectural patterns, guiding technical decisions, and translating complex requirements into actionable designs that drive value for both internal teams and customers. - Act as a trusted advisor, guiding customers and internal teams through complex architectural decisions with a focus on business value, scalability, and technical excellence. - Design and document end-to-end data solutions clearly and accurately for internal and customer use, ensuring alignment with ANS standards and best practices. - Collaborate with Project Managers and stakeholders to align on delivery timelines, report progress, and manage risks, while acting as a key point of contact for customer SMEs and technical teams to clarify requirements and solution design. - Contribute to discovery and planning, identifying areas such as governance, security, maturity, adoption, and functional/non-functional requirements, and provide actionable recommendations. - Educate and enable customers and internal teams, building knowledge of enterprise data platforms, architectural patterns, and best practices. - Engage in continuous learning through certifications (e.g., DP-600, DP-700, AI-900, AI-102) and development days to stay current with emerging technologies and industry trends. - Participate in the Data Architecture Guild, sharing knowledge, influencing standards, and helping shape architectural practices across ANS. - Ensure information security and compliance are embedded in all designs, adhering to business policies and procedures. Qualifications - Deep expertise in Big Data architecture and design, with significant experience delivering enterprise-scale solutions. - Design and implementation experience with at least three of the following: Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Databricks. - Microsoft Fabric knowledge, including architecture design and integration with existing data ecosystems. - Data catalogue, modelling, warehousing, and analytics experience across multiple platforms. - Proven understanding of security and governance, including cloud infrastructure, compliance frameworks, and data protection principles. - Strong presentation and visualisation skills using a variety of customer facing tools to present diagrams and designs. - Cloud proficiency with Azure, including Infrastructure as Code (IaC) and services across IaaS, SaaS, and PaaS. - Knowledge of Well-Architected Frameworks, security principles, and Agile/Waterfall project lifecycles. - Database expertise in SQL and NoSQL technologies. Requirements - Programming and automation: SQL, Python, Azure DevOps. - IoT design architecture for connected solutions. - Master Data Management (MDM) design and implementation. - Architecture and cloud-related certifications, e.g., TOGAF, Azure Solutions Architect Expert. - Experience with emerging technologies such as real-time analytics, AI/ML integration, and data mesh principles. Benefits - 25 days’ holiday, plus the option to buy up to 5 more days. - Birthday off, and an extra celebration day for personal events. - 5 additional holiday days in the year of marriage. - 5 volunteer days. - Private health insurance. - Pension contribution match and 4 x life assurance. - Flexible working and work from anywhere for up to 30 days per year (some exceptions). - Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full pay. - Company social events – get ready for a jam-packed calendar. - Electric car scheme. - 12 days of personal growth development time.

Role Description We are seeking skilled Data Engineers to join our dynamic team in a remote capacity. In this role, you will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support various analytics and business intelligence initiatives. You will work with cutting-edge technologies such as Databricks, Snowflake, and cloud platforms like AWS and Azure to ensure efficient data processing and integration. This contract position offers the opportunity to collaborate with cross-functional teams and contribute to the overall data strategy of the organization. Qualifications - 5+ years of experience in data engineering or related field - Proficiency in Python and SQL - Experience with ETL/ELT processes - Familiarity with cloud platforms such as AWS or Azure - Experience with data pipeline development using Databricks or Snowflake - Ability to work in a remote environment - US citizenship or work authorization Requirements - Experience with data visualization tools like Power BI - Knowledge of data governance and quality frameworks - Familiarity with Kubernetes and container orchestration Benefits - Indicative rate: $75–$105/hr

• Desenvolver, manter e otimizar pipelines de dados escaláveis em ambiente cloud • Trabalhar com processamento distribuído de dados utilizando Apache Beam • Orquestrar workflows e pipelines de dados utilizando Apache Airflow • Desenvolver soluções em Python seguindo boas práticas de engenharia de software • Atuar em ambientes Google Cloud Platform (GCP) • Criar e manter pipelines de deploy utilizando práticas de CI/CD • Desenvolver e gerenciar configurações e automações utilizando YAML/YML • Utilizar Docker para conteinerização de aplicações e serviços • Desenvolver, testar e documentar modelos de transformação de dados com dbt • Colaborar com times de engenharia, analytics e negócio para garantir qualidade, confiabilidade e performance das soluções