About The Opportunity
A fast-scaling AI data annotation and linguistic services firm operating at the intersection of human intelligence and machine learning, we build high-accuracy training datasets for global NLP, conversational AI, and generative AI platforms. Our team fuels the next wave of multilingual LLMs, voice assistants, and AI chatbots by curating, annotating, and validating linguistic data with precision, cultural nuance, and linguistic rigor across 30+ Indic and global languages.
Role & Responsibilities
- Lead end-to-end linguistic annotation projects across speech, text, and conversational AI datasets—ensuring linguistic accuracy, cultural context, and domain-specific relevance.
- Design, document, and enforce annotation guidelines and quality rubrics for multilingual NLP tasks (NER, intent classification, sentiment, QA, paraphrasing, etc.).
- Train and mentor distributed linguistic annotators, QA analysts, and team leads on linguistic best practices, edge-case handling, and inter-annotator agreement protocols.
- Own quality assurance workflows: conduct random audits, resolve disputes, calibrate teams, and drive continuous quality improvement using SLA dashboards and error trend analytics.
- Partner with AI/ML engineers to translate model performance feedback into actionable annotation refinements and dataset enhancements.
- Develop linguist training modules (video, quizzes, case studies) and manage certification programs to scale annotation quality across remote teams in India.
Skills & Qualifications
Must-Have
- Linguistic annotation
- NLP data labeling
- Speech transcription
- Text classification
- Intent detection
- Quality assurance in AI datasets
- Inter-annotator agreement
- Annotation guidelines design
Preferred
- Experience with Prodigy, Label Studio, or similar annotation platforms
- Working knowledge of Indian languages (Hindi, Tamil, Telugu, Bengali, Marathi, etc.)
- Familiarity with transformer-based models or LLMs (e.g., fine-tuning, prompt tuning)
Benefits & Culture Highlights
- 100% remote flexibility with collaborative virtual culture and async-first workflows
- Work with globally deployed AI systems—and be part of the human layer behind the world's smartest LLMs
- Continuous upskilling in AI linguistics, NLP, and generative AI through in-house training labs
Skills: classification,data annotation,training & development,training,ai,multilingual,data,datasets,annotation,quality
