Linguist (Hindi)

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.