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Das ist der Job
You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.
Darum lohnt es sich
What does day-to-day look like: • Review and compare 3–4 model-generated code responses for each task using a structured ranking system. • Evaluate code diffs for correctness, code quality, style, and efficiency. • Provide clear, detailed rationales explaining the reasoning behind each ranking decision. • Maintain high consistency and objectivity across evaluations. • Collaborate with the team to identify edge cases and ambiguities in model behavior.
Remote Senior Software Engineer (LLM) - 34953 5 days ago Be among the first 25 applicants Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories.
Project Overview: We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process.
Why This Role Is Unique: • Collaborate directly with AI researchers shaping the future of AI-powered software development. • Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks. • Influence dataset design that will train and benchmark next-gen LLMs.
Required Skills: • At least 3 years of experience at top-tier product or research companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify, Intuit, PayPal, or research roles at IBM, GE, Honeywell, Schneider, etc.), with a total of 7+ years of overall professional software engineering experience. • Strong fundamentals in software design, coding best practices, and debugging. • Excellent ability to assess code quality, correctness, and maintainability. • Proficient with code review processes and reading diffs in real-world repositories. • Exceptional written communication skills to articulate evaluation rationale clearly. • Prior experience with LLM-generated code or evaluation work is a plus.
Bonus Points: • Experience in LLM research, developer agents, or AI evaluation projects. • Background in building or scaling developer tools or automation systems. • Commitment: ~20 hours/week (partial PST overlap required) • Type: Contractor (no medical/paid leave) • Duration: 1 month (starting next week; potential extensions based on performance and fit) • Rates: $40–$100/hour, based on experience and skill level.
Seniority level • Mid-Senior level Employment type • Contract Job function • Information Technology and Engineering Industries • Software Development
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