AI Engineer (MT Post-Editing)
About the role
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
How to apply
Applications for this role are handled on Landearly, the applicant-tracking service we use. It takes a couple of minutes; your application is stored by Landearly and reviewed by our hiring team, as described in the Job applicants section of our Privacy Policy.
This is a U.S.-based, fully remote position. Applicants must be authorized to work in the United States; we do not currently sponsor visas or employ through an employer of record abroad.
Verdacert LLC is an equal-opportunity employer. We consider every application without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. If you need an accommodation to apply, email careers@verdacert.com.