Linguist (Telugu)

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.

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.

• →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.

• 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.

• Experience with LLMs, Generative AI, or AI data annotation projects.
• Strong analytical, documentation, and stakeholder communication skills.