Dutch‑Fluent AI Trainer & Coding Specialist (Remote)

Lever, Inc.; Schweiz; Remote; CHF 9.100 - 74.000; Vollzeit

Benefits dieser Stelle

Flexible remote contract

Direct impact on AI systems

Remote freelance engagement

Own equipment & reliable internet

No employer-provided benefits

Zusammenfassung

Lever, Inc. is seeking a Coding Specialist and AI Trainer for a freelance project based in Switzerland.

You’ll apply software engineering expertise and fluent Dutch to help improve advanced AI systems, evaluating model reasoning across algorithms, architecture, development, and infrastructure. This remote contract role emphasizes hands-on assessment, clear Dutch communication, and documenting reproducible failures to guide future improvements.

Qualifikationen

• Bachelor's, master's, or PhD in CS/SE preferred.
• Strong coding, algorithms, data structures, or systems programming experience.
• Fluent Dutch and excellent technical writing in Dutch a plus.
• Ability to work independently in remote, project-based environment.
• Real-world software development or open-source contributions a plus.

Aufgaben

• Engage with AI models on software engineering tasks in Dutch.
• Evaluate model responses for accuracy and coding quality.
• Document reproducible failures with details for analysis.
• Provide structured feedback to improve model reasoning and evaluation methodologies.
• Explain technical reasoning clearly and transparently.

Kenntnisse

Software engineering expertise

Dutch language fluency

Metacognitive communication

Independent contractor experience

Remote work ability

Ausbildung

Bachelor’s / Master’s in CS/SE

Jobbeschreibung

Lever, Inc. is seeking a Coding Specialist and AI Trainer for a freelance project based in Switzerland.

You’ll apply software engineering expertise and fluent Dutch to help improve advanced AI systems, evaluating model reasoning across algorithms, architecture, development, and infrastructure. This remote contract role emphasizes hands-on assessment, clear Dutch communication, and documenting reproducible failures to guide future improvements.