Data Annotator Graduate Fresher Jobs in Bangalore

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  • Fresher
  • 5.5 Lac/Yr
  • Langford Bangalore
Data Entry Audit Data Entry Automation Data Cleansing Data Entry Accuracy Copy-Paste Data Accuracy Data Formatting Data Input Data Quality Control Data Verification Google Sheets Data Entry Speed Data Entry Validation Data Entry Forms Spreadsheet Management Keyboard Shortcuts Typing Speed Data Entry Software Numeric Keypad Microsoft Excel Data Extraction Data Collection Online Data Entry
As a Data Annotator, you will play a vital role in helping us improve our data quality and accuracy. Your primary responsibility will be to label and categorize data, which can include images, text, or audio, to help train machine learning models. This part-time position allows for flexible work-from-home arrangements, making it ideal for freshers who have completed their 10th grade.**Key Responsibilities:**- **Data Labeling:** Accurately identify and label relevant information in various types of data, ensuring it is categorized correctly for better analysis and usage.- **Quality Assurance:** Review your own work and make sure it meets the established guidelines; correct any errors and maintain high accuracy levels throughout the process.- **Feedback Incorporation:** Adapt to feedback from supervisors, using it to improve your labeling techniques and enhance overall data quality.- **Documentation:** Maintain detailed records of annotations and changes, which will assist in tracking progress and identifying trends in data labeling tasks.**Required Skills and Expectations:**- Attention to detail is crucial as you will need to focus on fine nuances in data to ensure accuracy.- Strong organizational skills to manage multiple data sets effectively and maintain clear documentation.- Basic computer skills and familiarity with data entry tasks. Ability to navigate through various software platforms will be beneficial.- A willingness to learn and adapt quickly to new tools and techniques in data annotation. Good communication skills are also important for providing and receiving constructive feedback.
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  • 1 - 2 yrs
  • 105180
2d Modeling 3d Modelling DATA ANNOTATION
data annotation typically refers to the process of labeling or tagging specific data within job descriptions to make it more structured and useful for tasks such as machine learning or data analysis.
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  • 1 - 5 yrs
  • Bangalore
Spanish Data Annotator
ob Title: Data Annotor (Spanish)Location: Bangalore (100% Onsite)Job Type: Full-time About Us: We are a cutting-edge AI voice bot company committed to transforming customer engagement through conversational AI. Our solutions are deployed across banking, insurance, fintech, and other sectors, enabling scalable, intelligent customer interactions. As we grow, we are looking to onboard passionate operational professionals to help fine-tune, test, and optimise our Voice AI solutions. Job Summary: We are seeking an Operations Executive with at least 1 year of experience in data tagging and data generation. The ideal candidate will be responsible for call analysis, data tagging, voice bot testing, and synthetic data generation to enhance bot performance and reliability. Key Responsibilities:Proficiency in US Spanish Language Spanish Call Analysis: Review bot-customer interactions to identify gaps, errors, and improvement areas. Spanish Data Tagging & Annotation: Tag audio/text data for machine learning and natural language processing (NLP) training purposes. Spanish Data Generation: Create realistic conversational datasets to support bot training and performance tuning. Voice Bot Testing: Perform rigorous testing of bot behaviour across various workflows and use cases. Collaborate closely with the product, engineering, and analytics teams to ensure consistent bot performance. Document test cases, issues found, and suggestions for improvement. Support live project audits and deployment QA checks. Must-Have:Qualifications Minimum 1 year of hands-on experience in data tagging and data generation in the US Spanish language. Strong analytical and problem-solving skills. Experience in tagging/annotating data or working with training datasets. Familiarity with voice bot testing workflows or UAT (User Acceptance Testing) procedures. Good verbal and written communication skills. Preferred Qualifications: Exposure to AI/NLP tools or platforms. Understanding of AI agent workflows, especially call centre or tele-customer service processes. Experience using tools like Excel, Google Sheets, Jira, or test case management platforms.What We Offer Opportunity to work on cutting-edge AI products Collaborative and fast-paced work culture Career growth and skill-building in conversational AI Health benefits
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