Job descriptionFull Time
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