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Das ist der Job
No prior AI experience is required.
Darum lohnt es sich
Key Responsibilities • Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects. • Review, debug, improve, and explain code across different technical environments. • Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows. • Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience. • Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered. • Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises. • Adapt quickly to new codebases, frameworks, and technical requirements.
Job Title Software Engineering Job Type Contractor (10-12 hours per week) Location Remote Job Summary We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks.
This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.
What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.
Required Skills And Qualifications • 5+ years of hands‑on software engineering experience. • Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar. • Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations. • Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs. • Ability to explain complex engineering decisions clearly and objectively. • Comfortable reading and reasoning through unfamiliar code or technical requirements.
Preferred Qualifications • Experience with cloud environments such as AWS, GCP, or Azure. • Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations. • Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native. • Open‑source contributions, public GitHub work, technical writing, or strong examples of past engineering work. • Experience mentoring engineers, reviewing code, or making architecture decisions.
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