Help build Syldavia's sovereign artificial intelligence system.
SYLVIA is a national research and engineering programme at the intersection of language, culture, infrastructure, and computation. It is developed under the leadership of the Ministry of Research, Innovation and Patriotic Technologies, in partnership with academic institutions and selected public and industrial actors.
The programme follows Syldavia's integrated model of innovation, bringing together the State, the University, enterprise, and society within a single sovereign framework.
We are looking for people who value technical rigour, long-term thinking, and the responsibility that comes with building systems used by public institutions and operational partners.
Launch party, Velgrad · June 2025
Lead the development of SYLVIA's flagship caprine identification system. You will work on real-time visual recognition pipelines used in live racing broadcasts and archival lineage verification, in close collaboration with domain experts and national registries.
Apply via SylConnectExpand SYLVIA's understanding of Syldavian linguistic structure, nuance, and institutional tone. You will design datasets, evaluate linguistic behaviour, and fine-tune models to ensure cultural and procedural accuracy across administrative contexts.
Apply via SylConnectMaintain and scale SYLVIA's sovereign infrastructure. You will ensure reliability, observability, and security for systems supporting government workflows and authorised broadcast services, with strict uptime and data integrity requirements.
Apply via SylConnectAdvise on the development of SYLVIA's embroidery pattern recognition capabilities. You will document regional variations, historical motifs, and classification criteria in collaboration with technical teams and archival institutions.
Apply via SylConnectReview and validate SYLVIA's live sports commentary outputs prior to and during authorised broadcasts. Ensure compliance with national standards for factual accuracy, terminological correctness, and appropriate tonal restraint across football, goat racing, and bloushtika. Liaise with linguists, sports federations, and broadcast engineers to resolve edge cases and adjudicate disputed phrasing.
Apply via SylConnectSupport ongoing review and correction of SYLVIA's visual training corpus. Assess generated outputs for iconographic bias, classification errors, and historical overrepresentation, in coordination with the Royal Data Correction Centre. Contribute to annotation guidelines and corrective datasets used in future model iterations.
Apply via SylConnectSYLVIA is a public programme. Your work directly supports national institutions, cultural preservation, and long-term technological sovereignty.
Full medical, dental, and vision coverage through the Royal Health Service.
Public-sector pension scheme with 15% employer contribution after one year.
Annual education budget and support for conferences, training, and research activities.
Hybrid and remote arrangements available for eligible roles, subject to operational needs.
30 days of annual leave, plus Syldavian national holidays.
Staff at the Royal Data Centre benefit from institutional access to Velgrad's public thermal baths — a longstanding part of the region's working culture and recovery routines.
