Data Annotator Jobs

Sutherland is hiring for the role of Data Annotation Specialist - Trust & Safety Operations Role OverviewSeeking detail-oriented specialists to support data annotation for a global technology platform. The role involves reviewing, labeling, and classifying datasets to support AI/ML models, abuse detection, and operational intelligence initiatives.

A Data Annotator labels, tags, and organizes data (text, images, video, audio) to train machine learning models, ensuring AI understands and processes information accurately. They apply, follow, and validate annotation guidelines to maintain high accuracy and consistency, often working with annotation tools for computer vision or NLP projects

- Label data accurately: You will be responsible for labeling and categorizing data accurately based on predefined criteria to ensure the quality and reliability of the dataset.- Follow annotation guidelines: You will need to adhere to specific annotation guidelines provided by the project manager to maintain consistency and uniformity in data labeling.- Meet quality and productivity targets: You will be expected to meet set quality and productivity targets to ensure timely completion of data annotation tasks.- Collaborate with team members: It is essential to collaborate effectively with team members to discuss any challenges or issues faced during the annotation process and work together to find solutions.Required skills and expectations:- Strong attention to detail: You must have a keen eye for detail to accurately annotate and label data following the provided guidelines.- Basic computer skills: Proficiency in basic computer skills is required to navigate through the annotation tools and systems effectively.- Ability to work in a team: You should be able to work well in a team environment, communicate effectively, and collaborate with colleagues to achieve common goals.- Willingness to learn: As a fresher, you should have a willingness to learn and adapt to new processes and technologies to excel in the role of a data annotator.- Punctuality and reliability: Being punctual and reliable is important in a contractor role to meet project deadlines and ensure timely completion of tasks.

- Annotate images: The primary responsibility of a Data Annotator is to accurately label and annotate images to help train machine learning models and improve data analysis.- Data labeling: The Data Annotator will be responsible for labeling data using annotation tools and ensuring that the data is organized and labeled correctly for analysis.- Use annotation tools: The Data Annotator should be familiar with various annotation tools used for labeling data, such as bounding boxes, polygons, and keypoints.- Assist with data analysis: The Data Annotator may be required to assist with data analysis tasks to identify patterns or trends in the labeled data.- Image labeling: Another key responsibility is to label images accurately and consistently to enable accurate image recognition by machine learning algorithms.- Process data: The Data Annotator will need to process large amounts of data efficiently and accurately, ensuring that the labeled data is ready for analysis.- Familiarity with Natural Language Processing (NLP) and Machine Learning: A basic understanding of NLP and machine learning concepts is desirable to effectively annotate data for training these models.Skills and Expectations:1. Proficiency in annotating images and labeling data.2. Familiarity with annotation tools and data processing techniques.3. Ability to work independently and remotely.4. Strong attention to detail and accuracy in labeling data.5. Basic understanding of NLP and machine learning concepts.6. Good communication skills to collaborate with team members on data annotation tasks.

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.

Job descriptionAbout The Role:As a Subject Matter Expert (SME) in Data Annotation, you will play a critical role in ensuring the highest quality of data labelling across various projects.Technical and Domain expertMentor annotation teamsEstablish annotation guidelinesConduct quality auditsSupport client and internal teams with domain-specific insights.Tools Experience Expected:CVAT, Amazon SageMaker, BasicAI, LabelStudio, SuperAnnotate, Loft, Cogito, Roboflow, Slicer3D, Mindkosh, Kognic, PraatAnnotation Expertise Areas:Image, Video: Bounding Box, Polygon, Semantic Segmentation, Keypoints3D Point Cloud: LiDAR Annotation, 3D Cuboids, Semantic SegmentationAudio Annotation: Speech, Noise Labelling, TranscriptionText Annotation: NER, Sentiment Analysis, Intent Detection, NLP tasksExposure to LLMs and Generative AI data annotation tasks (prompt generation, evaluation)Key Responsibilities:Act as a Subject Matter Expert to guide annotation standards, processes, and best practices.Create, refine, and maintain detailed annotation guidelines and ensure adherence across teams.Conduct quality audits and reviews to maintain high annotation accuracy and consistency.Provide domain-specific training to Data Annotators and Team Leads.Collaborate closely with Project Managers, Data Scientists, and Engineering teams for dataset quality assurance.Resolve complex annotation issues and edge cases with data-centric solutions.Stay current with advancements in AI/ML and annotation technologies and apply innovative methods.Support pre-sales and client discussions as an annotation domain expert, when required.Key Performance Indicators (KPIs):Annotation quality and consistency across projectsSuccessful training and upskilling of annotation teamsTimely resolution of annotation queries and technical challengesDocumentation of guidelines, standardsClient satisfaction on annotation quality benchmarksQualifications:Bachelor's or master's degree in a relevant field (Computer Science, AI/ML, Data Science, Linguistics, Engineering, etc.)36 years of hands-on experience in data annotation, with exposure to multiple domains (vision, audio, text, 3D).Deep understanding of annotation processes, tool expertise, and quality standards.Prior experience in quality control, QA audits, or SME role in annotation projects.Strong communication skills to deliver training, documentation, and client presentations.Familiarity with AI/ML workflows, data preprocessing, and dataset management concepts is highly desirable.Work Location:In-person (Salem, Tamil Nadu)Schedule:Day ShiftMonday to SaturdayWeekend availability requiredSupplemental Pay:Overtime paysPerformance bonusShift allowanceYearly bonusLanguages Required :Tamil(oral communication must),English,Hindi(good to have)Contact:9489979523(HR)Job Type: Full-timeSchedule:Day shiftExperience:data annotation: 2 years (Preferred)Work Location: In person

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

Should haveGood Computer Knowledge and Typing1 month Training Provided

Our growing Company was looking for Freshers as Data Annotators with Good Communication Skills, & Computer Knowledge.This process known as lidar annotation, involves labeling the objects in the scene, such as cars, pedestrians, and traffic signs.Lidar heavily relies on machine learning models to provide real-time interpretations of point cloud data.Analyzing 3D lidar point cloud data is complex, repetitive, and time-consuming.Qualification:Bachelor's Degree from any organization.Skills:Good Communication SkillsComputer Knowledge

The person who have well skilled in Native English speaking with writing and listening. The Nature of Process is Audio Annotation which is related like transcription.

Familiar in Photoshop / P. S / Adobe IllustratorQuick learner with good creative skillsshould be interested in designing work, innovating, and being flexible at work.

Job descriptionPosition Summary:As an Operations Manager at Info G Innovative Solutions, you will be the driving force behind the seamless execution of diverse client projects across data annotation, transcription, and data collection. This role requires an experienced, hands-on leader who can adapt to dynamic business demands, set up operational frameworks from scratch, and ensure high-quality, timely delivery across multiple project types.Project execution and delivery ownershipMentor and manage operational teamsSet up scalable, project-specific workflows and SOPsEnsure client satisfaction and delivery qualityCollaborate closely with Business Development to enable project conversionProject Areas Exposure:Annotation Projects: Image, Video, Audio, Text, and 3D Data LabelingLanguage Projects: Transcription (speech/text), Translation (human & machine-aided)Data Collection: Field data gathering, user-generated content sourcingGenerative AI: Prompt creation, evaluation, and LLM data prep (preferred)Key Responsibilities: Act as the operations lead for all client projects, ensuring smooth execution across domains like annotation, transcription, and collection. Set up and maintain efficient SOPs, project trackers, and delivery pipelines based on the project type. Lead operational planning, resource allocation, and capacity forecasting for each project. Collaborate closely with the business development to translate client needs into executable plans. Build and mentor teams of SMEs, TLs, and annotators; conduct onboarding and training as needed. Handle project escalations, risk mitigation, and quality control independently. Drive continuous improvement initiatives across process, productivity, and quality. Prepare reports, delivery documentation, and client updates; support audits and client reviews.Key Performance Indicators (KPIs): Successful and timely execution of diverse project types SOP setup and standardization across new project lines Delivery quality and client satisfaction scores Efficiency in project ramp-up and team readiness Smooth cross-functional collaboration with BD, HR, and TechRequired Skills & Qualifications: Bachelors or Masters degree in Business, Technology, or related field 68 years of total experience, with at least 45 years in operations for data/AI/language services Proven experience handling projects in annotation, transcription, and language data domains Strong knowledge of operational planning, team management, and delivery metrics Excellent communication and coordination skills with cross-functional teams Ability to work in fast-paced environments with agility and ownership Exposure to Generative AI, LLM data projects, or multilingual data workflows is a plusLanguages: Tamil (oralcommunication must), English, Hindi (Good to have)Job Location:Salem/ErodeJob Types: Full-time, PermanentBenefits:Provident FundSchedule:Day shiftWeekend availabilitySupplemental Pay:Overtime payPerformance bonusYearly bonusExperience:total: 6 years (Preferred)Relevant: 4 - 5 years in operations for data/AI/language servicesWork Location: In person

Job Summary:We are seeking an experienced Senior Business Development Lead to drive business growth and expand our client base. In this role, you will leverage your expertise in IT, ITeS, BPO, KPO solutions and sales strategy to identify new business opportunities, build long-term client relationships, and close high-value deals. As a key member of the business development team, you will collaborate with cross-functional departments to align business objectives with market trends and client needs.Key Responsibilities:Identify New Business Opportunities: Proactively identify and pursue new business prospects, including large enterprise clients through networking, to generate revenue and expand the company's market presence.Lead Generation and Sales Strategy: Develop and execute strategic plans for lead generation, prospecting, and deal closure, ensuring alignment with company goals.Client Relationship Management: Build and maintain strong, long-term relationships with clients by understanding their business needs and offering tailored solutions.Digital Solutions Expertise: Demonstrate deep understanding of the companys products and services (e.g., AI Solutions, BPO, KPO, software development, cloud computing, cybersecurity, SaaS solutions) and how they can solve clients business challenges.Market Research and Analysis: Conduct thorough market research to identify industry trends, emerging technologies, and competitor activities, using this information to adjust sales strategies.Sales Presentations: Prepare and deliver persuasive presentations to potential clients, demonstrating how the companys IT services can address their unique requirements.Contract Negotiation: Lead negotiations with clients to close high-value contracts, ensuring that agreements are mutually beneficial and align with business objectives.Collaboration with Internal Teams: Work closely with the sales, marketing, product, and engineering teams to ensure the seamless execution of business development strategies.Reporting and KPI Tracking: Track and report on key sales metrics, such as lead conversion, sales performance, and revenue targets, using CRM tools (Salesforce, HubSpot, etc.).Required Skills and Qualifications:Education: Bachelors degree in Business, Marketing, Information Technology, or a related field. A Masters degree is a plus.Experience: 4+ years of experience in business development, sales, or account management in the IT industry.IT Industry Knowledge: In-depth understanding of IT products and services such as cloud computing, software development, cybersecurity, and managed services.Sales Expertise: Proven track record of developing and executing successful business development strategies that result in revenue growth.Lead Generation Skills: Expertise in identifying, qualifying, and converting leads into clients using a variety of methods, including cold calling, email campaigns, and networking.Client Relationship Management: Strong ability to build and maintain long-term relationships with clients, understand their business challenges, and provide solutions that meet their needs.Negotiation and Deal Closing: Proven experience with RFPs (Requests for Proposals) and contract negotiations, essential for effectively managing various client deals.Communication Skills: Excellent verbal and written communication skills for client presentations, proposals, and internal collaboration.CRM Tools: Proficiency in using CRM systems like Salesforce, HubSpot, or other tools to manage client interactions and track sales activities.Analytical Skills: Ability to analyze sales data and market trends to optimize strategies and identify new opportunities.Preferred Qualifications:Experience in selling enterprise IT solutions or working with Fortune clients.Familiarity with digital marketing strategies and social media outreach.Certifications in sales or business development (e.g., Certified Business Development Professional).Location: SalemDepartment: Sales / Business DevelopmentJob Type: Full-Time & On-PremiseExperience: 5+ YearsWorking days: Mondayto Saturday

Person who have Native English with include better writing and listening. The process of work is Transcription which is Audio annotation in English.