Job Title: Sign Language NLP Engineer – Arabic/English Text-to-Omani Sign Language PoC

Project Overview We are developing an AI-powered digital accessibility platform that will include a 3D virtual sign-language interpreter. We are seeking an experienced Sign Language NLP Engineer to develop a paid Proof of Concept (PoC) that converts Arabic and English text into a structured representation of Omani Sign Language suitable for driving a 3D avatar. Important: This is a Text-to-Sign Language project, not a conventional Text-to-Speech project. The selected specialist will collaborate with: A 3D sign-language avatar developer. Omani Sign Language experts. Deaf Omani users for validation. Our internal software, AI and API integration team. Scope of Work Analyze Arabic and English input text. Convert the input into an Omani Sign Language intermediate representation. Design a structured output format such as glosses, JSON, HamNoSys, SiGML, AZee or another recommended format. Develop an initial domain-specific sign-language lexicon. Support sign ordering and sign-language grammar rather than word-for-word translation only. Define handling for unknown words, names, numbers and fingerspelling. Provide confidence indicators or flag uncertain translations for human review. Develop an API that receives text and returns the structured sign sequence. Provide an editor or workflow that allows a sign-language expert to review and approve the generated sequence. Coordinate the output format with the 3D avatar developer. Document the architecture, API and integration requirements. PoC Deliverables Working Arabic and English text-to-sign prototype. Agreed set of approximately 50–100 government or public-service phrases. Initial Omani Sign Language lexicon for the selected phrases. Structured and editable sign-language output. API documentation and sample requests/responses. Integration specification for the 3D avatar. Human review and approval workflow. Source code and technical documentation. Final PoC report covering accuracy limitations, risks and recommendations for full implementation. Required Experience Proven experience in Sign Language Translation or Sign Language Production systems. Experience with text-to-gloss, gloss-free translation or structured sign representations. Strong NLP or machine-learning experience. Experience with Arabic NLP is highly preferred. Understanding of sign-language grammar and non-manual linguistic markers. Experience designing APIs for AI or language-processing systems. Ability to collaborate with sign-language linguists, Deaf users and 3D developers. Applicants with only general Text-to-Speech, chatbot or generic NLP experience will not be considered unless they can demonstrate relevant sign-language work. When Applying, Please Provide Examples of previous text-to-sign or sign-language AI projects. Which sign languages you have worked with. Your recommended architecture for Arabic/English text-to-Omani Sign Language. The intermediate representation you recommend and why. How you would handle limited Omani Sign Language training data. How you would integrate human review and Deaf-user validation. Your estimated timeline and cost for the PoC. Confirmation that source code, documentation and project-specific deliverables will be transferred to the client. Engagement This is an initial paid PoC engagement. Successful completion may lead to a larger implementation and long-term support contract. Please do not submit a generic AI proposal. Begin your application with the phrase “Text-to-Sign PoC” and briefly describe your most relevant sign-language project. To Apply Send your CV