Computational Linguist

2 - 7 years

5 - 15 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary

Shaip.ai is seeking experienced linguistics professionals who bring a blend of deep linguistic expertise and team management capabilities. As a Manager, you will play a pivotal role in supporting our LLM, ASR, and TTS models, and managing linguistic teams working across multilingual AI data projects. You will work closely with machine learning engineers, data sourcing teams, and project stakeholders to ensure linguistic quality and on-time delivery of high-quality annotated language datasets.

Key Responsibilities Linguistic Expertise & Support

• Collaborate with ML engineers to understand project goals, data specifications, and linguistic requirements.

• Embed linguistic rules into model architecture and data processing workflows.

• Design, document, and review annotation guidelines for linguistic, speech, and conversational AI projects.

• Conduct linguistic evaluations and provide detailed feedback to improve model performance and output quality. Team & Project Management

• Partner with the data sourcing and project teams to define and align on delivery timelines and milestones.

• Set up efficient data workflowsfrom raw data intake to final annotation delivery.

• Source, on board, and manage team of linguists across multiple languages and regions.

• Allocate tasks, track productivity, maintain annotation quality, and ensure delivery SLAs are met.

Required Qualifications

• Masters or PhD in Linguistics, Computational Linguistics, or a closely related field.

• Minimum 2 years of hands-on experience working in NLP, GenAI, or speech data projects.

• Proven experience in designing annotation workflows and linguistic guideline creation.

• At least 2 years of experience managing teams or coordinating projects.

• Experience with low-resource or regional languages is highly desirable.

Technical & Core Competencies

• Linguistic Analysis:

• Language Proficiency:

• Project Setup:

• People Management:

• Collaboration:

• Problem Solving

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