Yapay Zekâ Mühendisi (MT Son Düzenleme)

Verdacert provides USCIS-certified translations for immigration filings, court proceedings, university applications, and medical documentation, with a focus on Arabic, Farsi, Dari, Pashto, Urdu, Turkish, and other MENA and world languages. Our pipeline pairs a machine translation engine with native-speaker reviewers who edit and sign off on every document before delivery. We're looking for an AI Engineer to own and improve the machine-translation post-editing layer that sits at the center of this process, working closely with our reviewer network to raise draft quality, cut editing time, and keep turnaround inside our 14-to-48-hour delivery windows.

What you'll do

• Build and maintain machine translation post-editing workflows that feed our human review pipeline
• Evaluate and fine-tune MT models and prompts for accuracy across multiple language pairs, with attention to regional dialects and document conventions
• Design automated quality metrics (edit distance, reviewer correction rates, error taxonomies) to track MT output quality over time
• Work with native-speaker reviewers to collect structured feedback and translate it into model or pipeline improvements
• Build tooling that preserves document layout and formatting through the translation and certification process
• Monitor production translation quality and turnaround, and troubleshoot regressions or model drift

What we're looking for

• Experience building or fine-tuning machine translation systems, or applying large language models to translation tasks
• Familiarity with post-editing workflows and quality metrics used in professional or MT-assisted translation
• Solid software engineering skills, comfortable building production pipelines rather than one-off notebooks
• Experience working with human reviewers or subject-matter experts to improve model output
• Understanding of the tradeoffs between automation and human review in high-stakes, compliance-sensitive documents
• Strong written communication for documenting model behavior and quality issues to non-technical stakeholders

Nice to have

• Experience with low-resource or non-Latin-script languages (Arabic, Farsi, Dari, Pashto, Urdu)
• Background in localization, computational linguistics, or translation technology
• Familiarity with document layout preservation (OCR, PDF structure extraction) alongside text translation