Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.
We’re hiring a Data & Analytics Analyst (Data Annotator) who will play a hands‑on role in improving the quality and reliability of Zendesk’s AI for customer support. You’ll create the labeled data and evaluation signals that train models, validate outputs, and drive measurable improvements in ticket replies, summaries, intents, and recommendations—helping our products deliver better experiences for our customers and their end users.
SummaryAs a Data Annotator on the AI/ML quality team, you’ll label and validate customer support data (conversations, replies, summaries, intents, entities, sentiment, etc.) using detailed guidelines and internal annotation tools. Your work will feed model training and evaluation pipelines, support quality analysis, and help identify edge cases and failure modes that improve our AI systems.
What you’ll be doingAnnotate customer support content (tickets, chat transcripts, summaries) for labels including intents, entities, sentiment, relevance, and quality of AI‑generated replies.
Apply detailed, evolving labeling guidelines with high accuracy and consistency; follow standard operating procedures and update labels when guidelines change.
Classify and tag AI outputs to support supervised training, evaluation, and error analysis (e.g., hallucinations, incorrect facts, tone mismatches).
Identify ambiguous or unclear cases and escalate them with clear notes for adjudication by reviewers or SMEs.
Meet defined accuracy and throughput targets while maintaining quality; participate in daily/weekly productivity tracking.
Participate in calibration and quality review sessions to align annotator judgments and improve inter‑annotator agreement.
Use Zendesk’s annotation platforms and internal tools efficiently; record metadata and examples for future gold‑standard datasets.
Contribute to the creation and maintenance of gold‑standard examples and test cases used for model evaluation.
Exceptional attention to detail and the ability to maintain high quality over repetitive tasks.
Strong reading comprehension and written English skills; able to express ambiguity and reasoning clearly in notes.
Ability to follow complex, evolving instructions and adapt quickly when guidelines change.
Comfortable working under throughput and accuracy targets while preserving consistency.
Collaborative mindset: open to feedback, participates in calibration, and helps improve annotation guidelines.
Basic computer proficiency and familiarity with structured labeling workflows.
Positive attitude and curiosity about how labeled data impacts ML model behavior and product outcomes.
High school diploma or equivalent; Bachelor’s degree in a related field (Linguistics, Communications, Computer Science, etc.) preferred but not required.
0–2 years experience in data annotation, content moderation, transcription, or related roles (internships and similar experience count).
Strong command of written English and demonstrated ability to follow instructions precisely.
Comfortable using web-based annotation tools and basic productivity software (Google Workspace/Office).
Multilingual ability (languages common in our user base).
Prior experience with annotation tools such as GroundTruth, Label Studio, SuperAnnotate, or similar platforms.
Experience working with customer support data, chat/ticket workflows, or conversational text.
Familiarity with quality metrics (accuracy, inter-annotator agreement) and basic data quality concepts.
Interest in NLP/ML fundamentals and how labeled data is used for model training and evaluation.
Please note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to [email protected] with your specific accommodation request.
