Dutch AI Trainer & Coding Specialist (Remote)

Jobgether SRL

South Africa

Remote

ZAR 183,000 - 1,491,000

Part time

6 days ago
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Benefits offered by this job

Flexible remote contract
Competitive pay
Impactful AI projects

Job summary

Lever, Inc. in partnership with a client seeks a Coding Specialist and AI Trainer, fluent in Dutch, for a freelance project based in South Africa.

You will apply software engineering expertise to evaluate models on algorithms, data structures, and systems programming, while communicating in Dutch. This remote contract role emphasizes independent work, clear reasoning, and reproducible feedback to improve AI reasoning, coding accuracy, and evaluation methodologies across front-end, back-end,

Qualifications

  • Fluent Dutch language skills for technical communication.
  • Strong coding or software engineering expertise across algorithms, data structures, or cloud infrastructure.
  • Ability to clearly explain technical reasoning and document findings.

Responsibilities

  • Engage with advanced AI models on software engineering tasks and coding challenges in Dutch.
  • Evaluate model responses for logical accuracy and adherence to software engineering best practices.
  • Assess performance across algorithms, data structures, architecture, frontend/backend, cloud infrastructure, and systems programming.
  • Challenge models with topics like asynchronous programming, REST APIs, memory management, OOP, secure coding, and distributed systems debugging.
  • Verify naturalness and correctness of Dutch in technical interactions.
  • Identify and document model failure modes with detailed reproducible issues.

Job description

Lever, Inc. in partnership with a client seeks a Coding Specialist and AI Trainer, fluent in Dutch, for a freelance project based in South Africa.

You will apply software engineering expertise to evaluate models on algorithms, data structures, and systems programming, while communicating in Dutch. This remote contract role emphasizes independent work, clear reasoning, and reproducible feedback to improve AI reasoning, coding accuracy, and evaluation methodologies across front-end, back-end,

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