• Build and maintain Streamlit dashboards for business reporting and operational insights. • Optimize dashboard performance (query tuning, caching strategies, efficient data loading, and rendering). • Design, develop, and maintain SQL tables, views, and models that feed dashboards. • Implement and maintain Python-based data workflows to transform, validate, and deliver data for analytics use cases. • Monitor and improve data quality, freshness, and completeness (including automated checks and alerting). • Partner with stakeholders to define metrics, ensure consistent definitions, and translate requirements into data products. • Maintain documentation for dashboards, datasets, KPI definitions, and data lineage. • Troubleshoot data and dashboard issues, providing timely support and root-cause analysis.

• Develop software using C++ • Collaborate with teams for project completion • Self-manage tasks and timelines

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves supporting a leading AI research lab in improving how advanced AI systems understand real-world software engineering workflows and production-grade Python systems. - Create domain-specific tasks and deliverables based on real-world Python software engineering workflows - Evaluate AI-generated code and technical explanations for accuracy, clarity, and engineering best practices - Review peer-developed deliverables to improve quality and consistency - Identify gaps or inaccuracies in AI reasoning related to Python development and software architecture - Provide structured feedback to improve AI understanding of real-world software engineering practices - Apply consistent evaluation frameworks to produce high-quality technical review outputs Qualifications - Experience working as a Software Engineer at top technology companies - Proven experience building production-grade Python systems used in real-world environments - Strong understanding of Python language fundamentals and advanced features - Experience with decorators, generators, async/await, context managers, and performance optimization - Experience designing modular, testable, and scalable codebases - Familiarity with modern Python frameworks and tooling such as FastAPI, Pydantic, type hints, dependency injection, and testing frameworks - Strong analytical thinking and excellent written communication skills Requirements - Experience designing distributed systems or backend services - Experience working with performance optimization and profiling tools - Experience building developer frameworks or internal tools Benefits - Contribute professional expertise to frontier AI research projects - Help improve how AI systems understand real-world Python software engineering workflows - Apply real-world software engineering expertise to improve next-generation AI systems - Flexible remote project work with competitive compensation Contract Details - Independent contractor role - Fully remote and flexible scheduling - Expected workload: approximately 20 hours per week - Project duration: minimum 1 month, with potential extension - Compensation: $100 per hour - Weekly payments via Stripe or Wise - Projects may extend or adjust depending on scope and performance About the Platform This opportunity is available through a leading AI-driven work platform.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description A growing technology company is seeking a Backend Engineer with strong Ruby on Rails experience to help build a scalable chat and messaging system used within a workforce management platform. This is a hands-on backend engineering role focused on building robust APIs, improving system scalability, and supporting real-time communication systems. - Develop backend services using Ruby on Rails - Help build and scale a real-time chat and messaging platform - Design and maintain APIs and backend infrastructure - Collaborate with engineering and product teams to implement new features - Improve performance, scalability, and reliability of backend systems - Participate in architecture and system design discussions Qualifications - 4–6 years of backend software engineering experience - Strong experience with Ruby on Rails - Solid software engineering fundamentals - Experience building scalable backend systems - Familiarity with real-time messaging or event-driven architectures is a plus - Experience with Node.js is helpful but not required - Comfortable working in a fully remote engineering team Requirements - Fully remote team across the United States - Contractor must be able to work during U.S. time zones - Collaborative engineering team of approximately 25 developers and QA professionals Company Description