Linguist (Telugu)

Job description

**About Arctic Engines** Arctic Engines is an enterprise-grade AI human data operations company specializing in high-quality training data, RLHF, and human feedback pipelines for frontier AI models. We are part of the Apna Group, one of India's fastest-growing unicorns, backed by marquee investors such as Lightspeed, Tiger Global, Insight Partners, Peak XV, and others. With native access to Apna's 60M+ workforce, we deliver high-quality training data at unmatched scale and speed. **Role Overview** We are looking for experienced Linguists with expertise in language technologies and AI data projects. The ideal candidate will have hands-on experience in developing linguistic rubrics, annotation taxonomies, and quality guidelines, while collaborating with clients to design and refine annotation frameworks for multilingual AI projects. ### Requirements **Key Responsibilities** - Develop and review linguistic rubrics, taxonomies, and annotation guidelines. - Collaborate with clients and internal teams to co-develop project-specific linguistic standards and documentation. - Conduct linguistic reviews, quality assurance, and error analysis to ensure high-quality deliverables. - Support projects involving **ASR (Automatic Speech Recognition), TTS (Text-to-Speech), transcription, speech annotation, and NLP.** - Provide linguistic expertise to improve annotation quality and AI model performance. **Required Qualifications & Experience** - **Master's or Ph.D.** in **Tamil, Telugu, Hindi, Linguistics, Applied Linguistics, Computational Linguistics**, or a related field. - Native or near-native proficiency in the target language with excellent English communication skills. - **3+ years** of experience in AI language data, linguistic annotation, localization, or speech technology projects. - Proven experience in creating annotation guidelines, rubric/tag development, taxonomy design, and linguistic quality frameworks. - Experience working directly with clients to develop and review linguistic guidelines. - Strong understanding of **ASR, TTS, transcription, speech annotation, and NLP workflows.** **Preferred Skills** - Experience with LLMs, Generative AI, or AI data annotation projects. - Strong analytical, documentation, and stakeholder communication skills.