Job Title: Data Annotation SpecialistExperience: 1–2 YearsLocation: Bengaluru Hybrid 2 Days WFOAbout ConvinConvin is a Conversation Intelligence platform built by IIT Delhi alumni to transform sales, collections, and customer experience. With our proprietary AI and automation, we help enterprises analyze conversations, drive insights, improve conversions, and deliver exceptional customer experiences.We’re trusted by leading brands like Urban Company, Physics Wallah, ICICI Lombard, SBI Life, , Bajaj and Niva Bupa, Aditya Birla Group Etc. across industries such as EdTech, FinTech, HealthTech, Hospitality, Travel, and BPO.Highlights:Raised $6.5M in Series-A (2024) and $2.1M seed funding (2022)Featured in LinkedIn’s Top Startups listRanked Top 20 Software Companies in India by G2Best Speech & Conversation Analytics Company at CX & DCX SummitsAbout the RoleWe are looking for a Data Annotation Specialist who can own and execute high-quality data annotation workflows to support cutting-edge AI and ML systems. You will play a key role in working on diverse datasets, ensuring precise labeling, and contributing to the overall quality and performance of our models.This role requires strong hands-on experience in data annotation, attention to detail, and the ability to work closely with ML and product teams to understand requirements, iterate on guidelines, and continuously improve data quality.What You’ll DoPerform data quality checks by identifying missing/null values and ensuring overall data integrityAnnotate and label data accurately in line with defined guidelines and conventionsClean, structure, and prepare datasets for machine learning and NLP use casesMaintain well-organized records of annotated data and track progress consistentlyUse annotation and productivity tools such as Label Studio, VS Code, and Notepad++ efficientlyWork on emotion and sentiment annotation tasks, including support for multiple language datasetsCollaborate with external vendors and internal teams to ensure timely and high-quality data deliveryLeverage tools like Google Sheets, Python (basics), GCP, and command line (CMD) for data handling and workflow efficiencyRequired SkillsGraduate or equivalent practical experience in data annotation, NLP, or related domains1-2 years of hands-on experience in data annotation or a similar roleStrong proficiency in English and Hindi (reading, writing, listening, and comprehension)Strong attention to detail with a high level of accuracy in annotation tasksProven ability to handle sensitive/critical data with confidentiality and integrityAbility to consistently meet deadlines in high-volume, fast-paced environmentsExperience working with annotation guidelines and structured labeling processesGood analytical and comprehension skills to interpret conversational and contextual dataHands-on experience with Linux/VM environments for data-related workflowsWorking knowledge of Python scripting for basic data processing or automationPrior experience working on LLM/ASR-related projects (annotation, evaluation, or data preparation)Basic understanding of data analysis and annotation quality practicesGood to HaveExperience with speech/conversational data annotation (call recordings, transcripts, voice AI datasets)Exposure to ASR/TTS tasks like transcription, speaker diarization, and text normalizationFamiliarity with LLM annotation workflows (intent tagging, summarization evaluation, response quality checks)Experience working with real customer conversations (sales/support) for intent, sentiment, and insightsUnderstanding of annotation quality metrics and handling edge cases in noisy, multi-speaker dataFamiliarity with annotation tools (e.g., Label Studio, Scale AI) and working with large datasetsWhat We ValuePrecision & Ownership: High attention to detail with a strong sense of responsibility for the quality and accuracy of annotated dataConsistency & Discipline: Ability to follow guidelines rigorously while maintaining consistency across large-scale datasetsCuriosity & Learning Mindset: Interest in AI/ML (LLMs, Speech) with a willingness to continuously learn and adapt to evolving annotation needsCollaboration & Communication: Clear communication and ability to work effectively with cross-functional teams and external vendorsPerks & BenefitsLearning & Upskilling – Reimbursement of ₹1,000 per month (up to ₹12,000 per year) towards books or courses, work-related or otherwise.Wellness & Leisure Allowance – ₹24,000/year (claimable as ₹6,000 quarterly or ₹24,000 annually) for personal travel, retreats, or gym memberships.Comprehensive Insurance – Health insurance of ₹5,00,000 (self & family) + accident coverage of ₹25,00,000.Friday Treats – Weekly snacks for in-office employees.Friday Fun & Wellness – Bi-monthly yoga, health check-ups, learning sessions, and cultural activities.Quarterly Team Outings – Relax, connect, and grow together.
Job Title
Data Annotation Specialist