Software Engineer – Coding Evaluation, Training Data

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Surge AI

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2020

🤖 Intelligence artificielle

🔌 API

☁️ SaaS

💰 €25 000 000 Series A en 2020-07

Artificial Intelligence • API • SaaS

Surge AI est une entreprise qui fournit des données de formation de haute qualité et des solutions d'étiquetage de données pour les équipes d'apprentissage automatique. Elle propose une plateforme SaaS pilotée par API qui combine l'annotation humaine dans la boucle, le contrôle qualité et des outils pour la collecte, la validation et la gestion de jeux de données afin d'accélérer le développement de modèles et d'améliorer la performance des modèles.

Description

• Own end-to-end coding data projects, from initial scoping and pilot design through execution, iteration, and scale-up. • Design agentic training workflows and task structures that mirror real-world SWE work (e.g., refactoring, debugging, code review, large-repo navigation, tool use). • Define and iterate on rubrics, golden sets, and reward signals that capture true engineering value, not just “does it compile.” • Evaluate data and worker output with strong SWE taste, and make calls about what meets the bar for frontier training. • Design and run qualification processes for coding workers, including hands-on assessments of their coding ability. • Set up or partner on complex technical environments (e.g., containers, repos, test harnesses, sandboxes, code execution infrastructure). • Partner with technical staff at our clients to translate high-level training goals into concrete projects and technical environments. • Collaborate closely with Surge engineering, product, and operations to improve our coding data products, internal tools, and execution processes.

🎯 Exigences

• 2–6+ years of professional software engineering experience building and maintaining real systems. • Strong coding ability in at least one mainstream language and comfort working in production codebases. • High “taste” for good engineering: you care about correctness, code quality, and how real engineering teams actually work. • Ability to reason about and debug technical environments, including containers, dependencies, and automated test setups. • Interest in owning projects end-to-end, including scoping, workflow design, execution, and continuous improvement. • Excellent written and verbal communication skills, with the ability to speak credibly with senior client engineers and translate fuzzy goals into actionable plans. • Excitement about AI/ML systems and the role of data, evaluation, and reward design in improving agentic coding capabilities.

🏖️ Avantages

• Competitive salary • Remote work flexibility • Professional development opportunities