• Develop and implement comprehensive QA strategies for knowledge informatics systems, including data management platforms, reporting tools, and analytics solutions. • Create and execute detailed test plans, test cases, and automated tests for new and existing applications and systems related to knowledge informatics. • Perform data validation testing to ensure data accuracy, consistency, and integrity across multiple sources and platforms. • Work closely with data engineers, developers, business analysts, and product owners to identify requirements, ensure alignment on testing objectives, and troubleshoot issues. • Develop and implement automated testing scripts to ensure consistent testing and improve the efficiency of the QA process. • Conduct integration testing to ensure that systems, applications, and data flows work seamlessly together. • Ensure that all systems and data management practices are following industry regulations, such as HIPAA, GDPR. • Identify, track, and manage defects through the lifecycle, communicate issues to relevant stakeholders.

Role Description Instasks App is a Professional Concierge Service that connects top-tiered professionals with clients through an online platform. The app facilitates instant bookings and simplifies the process for both clients and providers. - Clients can request quick tasks and large projects. - Providers receive custom requests based on their specialized skills. - The app manages invoicing and confirms all jobs. - Provider locations are tracked for client convenience. - A portal is available for providers to list their professions, manage schedules, and handle invoicing and credit card processing. - Clients can leave reviews and star ratings for providers. - The mission is to help providers achieve financial independence and improve their quality of life. - Opportunities are available for providers over the age of 18, and over 21 for tasks involving liquor. - Providers can choose tasks that fit their schedules and work when they want. - Tasks are available within a 15-mile radius. - Health and well-being of clients and providers are prioritized. Qualifications - Responsible Quality Inspector with a trained eye for detail. - Reliable and committed to quality standards. - In-depth knowledge of quality standards is essential. Requirements - Proven experience as a quality inspector or relevant role. - A keen eye for detail and a results-driven approach. - Responsible and trustworthy. - Familiarity with quality testing machines and systems. - Thorough knowledge of quality control standards and testing methodologies. - Certification in quality control (ISO 9000 etc.) is a strong advantage. - Working knowledge of MS Office. - High School Degree; further qualifications will be a plus. Benefits - Secure and safe platform for providers. - Opportunity to be your own boss. - Flexible working hours. - Potential for increased revenue.

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter. Role Overview As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics. Key Responsibilities - Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products - Strategize evaluation methodologies, gathering data and evaluation reporting - Perform data analytics on large datasets - Monitor and track anomalies within product’s content and statistics - Train and deploy ML models to help boost product performance - Create and maintain detailed documentation of test processes, methodologies, and findings - Keep up to date with advancements in the field to optimize internal processes and workflows - Interface and coordinate with Engineering team - Foster a collaborative, proactive team environment that values shared success.

• Testing Strategy & Leadership: Contribute to driving the overall QA strategy for Mirantis Secure Registry, Kubernetes and cloud-native environments, aligning quality goals with business objectives and release deadlines. • Evaluate and champion best-in-class testing practices and frameworks for distributed systems. • Lead risk analysis and test planning for large-scale, multi-cloud registry, infrastructure and container orchestration. • Architect test frameworks and infrastructure for validating microservices and infrastructure components in multi-cluster and hybrid-cloud environments. • Oversee the design of complex test scenarios simulating production-like workloads, resource scaling, failure injection, and recovery across distributed clusters. • Spearhead the development of scalable and maintainable test automation integrated with CI/CD (Jenkins, GitHub Actions, etc.). • Leverage Kubernetes APIs, Helm, and service mesh tools to build comprehensive automation coverage, including system health, failover behavior, and network resilience. • Promote test infrastructure-as-code and drive IaC forward on the team making sure the infrastructure code is repeatable, extensible and reliable. • Mentor QA engineers and developers in advanced testing techniques such as: risk-based testing, chaos engineering, performance and load testing etc. • Serve as the QA authority in design reviews, production readiness assessments, and incident retrospectives (escaped defects). • Collaborate with devops engineers to refine monitoring, alerting, and debugging strategies for testing automation being run in CI/CD. • Establish quality gates, release readiness metrics, and data driven feedback loops to ensure released software is production quality. • Drive initiatives to integrate performance, security, and chaos testing into the development lifecycle. • Advocate for a culture of quality across teams and influence architecture decisions with testing in mind.