Top Remote QA Engineer Jobs in Detroit, MI

Outlier seeks talented coders to assist in training AI models through crafting computer science questions and evaluating AI-generated code. This remote freelance role offers flexible hours and requires proficiency in specific programming languages and the ability to communicate in Simplified Chinese.

Seeking a Senior Backend Engineer to build robust APIs and backend systems for healthcare pricing products. Responsibilities include designing and operating APIs, collaborating with cross-functional teams, and prioritizing feedback. Requires 5+ years of backend development experience, strong skills in Python, Go, Java, Kotlin, Scala, and experience with SQL and NoSQL databases. Full-time remote position with a salary range of $170,000-$185,000.

As a Senior WebRTC Developer at LiveSwitch, you will develop and operate the LiveSwitch platform and interactive video products. Responsibilities include writing efficient code, maintaining libraries, collaborating on service deployment, and managing AWS infrastructure. Extensive expertise in C# and WebRTC is required to provide exceptional live interactive video experiences for customers.

The Senior Software Engineer will work on the Device Detections and Tasking team, focusing on building a data ingestion and detection pipeline, collaborating with team members, producing high-quality software designs, and providing mentorship to junior engineers. The role also involves participation in 24x7 application support and defining project requirements.

As a Senior Integration Engineer at Ascend, you will integrate software with external systems for renewable energy assets. Responsibilities include designing and implementing integrations, troubleshooting issues, and providing client support throughout the onboarding process and beyond.

Senior Software Engineer responsible for owning the technical engineering product portfolio, guiding engineering managers, contributing to product development, driving architectural decisions, and serving as a subject matter expert. Requires 8+ years of experience, expertise in cloud and on-prem environments, edge deployments, data pipelines, AI/ML products, microservices architecture, and skill in Go, Python, C++, GPRC, Terraform, Kubernetes, Docker.

The AI Software Engineer will develop components for an AI software stack, port AI applications to new hardware platforms, tune AI applications, implement mathematical operators, and validate AI models. The role requires strong problem-solving abilities and collaboration skills.