This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English. Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Vibe Code specialist, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. - Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Compensation On this project, contributors can earn up to $32 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.

• Define and structure the organization's data architecture; • Develop and guide the construction of data pipelines (batch and streaming); • Ensure data quality, integrity and governance; • Support the implementation of solutions focused on artificial intelligence; • Collaborate with both technical and business teams; • Optimize resource usage in cloud environments.

• Join the Orion Platform team, the engineering group responsible for building and scaling Sinch's new Tier-1, business-critical data platform. • Design and implement the mediation system Orion, using Go (Golang) to process billions of raw usage data events from Kafka into standardized formats for billing and analytics. • Build and maintain our high-performance, near real-time data pipelines, ensuring minimal latency between data ingestion and its availability in our ClickHouse database. • Implement complex data transformation rules to normalize, enrich, and aggregate data from multiple sources, preparing it for accurate billing and reporting. • Automate mediation processes and workflows within our Kubernetes environment, minimizing manual intervention and improving the efficiency of data flows. • Ensure data quality by implementing checks, building robust monitoring and alerting systems with Prometheus and Grafana, and creating error-handling mechanisms to prevent inconsistencies, duplicates, or data loss within our streaming architecture. • Work closely with billing, product, and engineering teams to understand data requirements and ensure that our data pipelines align perfectly with business needs.

Secret Clearance Required About Aretum Aretum is a mission-driven organization committed to delivering innovative, technology-enabled solutions to our customers across defense, civilian, and homeland security sectors. Our teams work at the intersection of strategy, technology, and transformation, helping agencies solve their most critical challenges. We believe in investing in our people and creating a culture where collaboration, inclusion, and professional growth are at the forefront. Job Summary Due to the nature of our work as a federal consulting organization, employees may be expected to handle Controlled Unclassified Information (CUI) and must adhere to applicable safeguarding and compliance requirements. Additionally, all team members may be called upon to support proposal efforts as needed. This could include resume formatting, providing skills alignment summaries, participating in meetings, or contributing to solutioning activities based on subject matter expertise or functional experience. Responsibilities - Lead hands-on development of data pipelines and data platform components, including writing and reviewing production-quality code - Own end-to-end delivery for assigned pipelines and services - Build, improve, and maintain ETL/ELT pipelines for large-scale data ingestion and transformation - Implement CI/CD and automated testing for data pipelines (integration tests, data validation, and release workflows) - Establish operational readiness for production data workflows - Optimize performance and cost of pipelines and storage through tuning, partitioning, and workload right-sizing in AWS GovCloud - Contribute to and implement modern data architecture patterns, including lakehouse approaches - Ensure architecture and implement support DoD strategic initiatives, including enterprise data modernization efforts - Drive creation and upkeep of data transformation roadmaps and technical documentation; support data maturity assessments and current-state analysis across agency-wide programs - Translate technical approaches into clear, business-understandable frameworks and recommendations. - Partner with cross-functional teams and program offices to understand data requirements, enable data-driven decision-making, and translate technical approaches into business-understandable frameworks and recommendations. - Support delivery of leadership priority initiatives (e.g., childcare forecasting, Military OneSource analytics, readiness dashboards) and design/implement data solutions that connect outreach efforts to program uptake and readiness outcomes, for users with varying technical proficiency levels