256 Data Annotation Jobs - Page 11

Job Title: Team Leader Video Labeling Location: Ahmedabad Experience: 3–5 years in IT services, with proven hands-on experience in 2D/3D video and LiDAR data annotation (Box, Polygon, Polyline, Semantic Segmentation, etc.), ideally supporting machine learning or autonomous vehicle projects Education: Bachelor’s or Master’s degree Travel: Willingness to travel between Apexon offices, as required Company Description Apexon is a digital-first technology services firm in Coimbatore, specializing in accelerating business transformation and delivering human-centric digital experiences. With over 27 years of experience, Apexon helps clients outperform their competition through speed and innovation. The company focuses on User Experience (UI/UX, Commerce), Engineering (QE/Automation, Cloud, Product/Platform), and Data (Foundation, Analytics, AI/ML) services with deep expertise in BFSI, healthcare, and life sciences . Position Overview Apexon is looking for a proactive and detail-oriented Team Leader – Video Labeling to supervise and guide day-to-day annotation operations for machine learning and AI-focused projects. In this role, you will be responsible for managing a team of annotators and quality checkers, ensuring tasks are executed efficiently, accurately, and on time. A deep understanding of annotation tools, processes, and quality standards is essential. This role is ideal for someone looking to transition from senior operator roles into leadership with a strong technical backbone in annotation workflows. Key Responsibilities Supervise daily execution of annotation tasks including 2D/3D labelling, bounding boxes, polylines, polygons, semantic segmentation, and LiDAR point cloud labelling Distribute workload among team members, monitor progress, and ensure timely task completion in line with project deadlines and SLAs Provide clear instructions, training, and support to annotation staff on guidelines, tools, and task expectations Conduct regular quality checks and collaborate with quality assurance teams to maintain high annotation accuracy Assist in refining annotation guidelines and escalate ambiguities or tool limitations to project managers or tool developers Act as the first point of contact for addressing team-level technical or operational issues Track key metrics like productivity, accuracy, rework, and turnaround time, reporting findings to higher management Coordinate closely with process leads and cross-functional stakeholders to maintain workflow consistency and improve delivery efficiency Stay updated on tool updates, process changes, and best practices related to annotation and machine learning data labelling Required Skills & Qualifications Hands-on experience in leading or mentoring annotation teams working on computer vision or AV datasets Proficient in annotation tools such as CVAT, Kognic, Canvas, Philosys, Playment, GT Studio, Deepan, or similar platforms Solid understanding of image/video data structures, LiDAR datasets and labeling techniques Experience with quality assurance standards and annotation review processes Strong interpersonal and communication skills, with the ability to manage feedback and resolve team issues Good time management skills, with the ability to prioritize and multitask under tight deadlines Working knowledge of Microsoft Office and Google Workspace for reporting and communication Team & People Responsibilities Support onboarding and continuous training of new team members Foster a positive and inclusive team environment focused on collaboration and performance Encourage participation in team-building and engagement activities Report team issues, risks, and improvement ideas to supervisors or project managers Ensure compliance with Apexon’s work standards, ethics, and data security protocols

We are thrilled to share an amazing opportunity to join our team at Han Digital Solution Pvt Ltd as a Language Specialist for Portuguese, Spanish, Italian and French . If you're passionate about AI, machine learning, and data annotation, we want to hear from you! Job Title : Language Specialists - (Portuguese, Spanish, Italian and French) Department : Data Projects / AI & ML Operations Location : Remote Employment Type : Full-Time Freelance (Project-Based) Working Hours : 8:30 AM to 6:30 PM IST, Monday to Friday (Alternative Saturday's) Spanish, Portuguese, Italian and French language expert: Data Annotation We are seeking a highly motivated and detail-oriented Spanish, Portuguese, Italian and French language Data Annotator to join our dynamic team. The ideal candidate will play a crucial role in enhancing our data quality through meticulous annotation and classification tasks. This position is perfect for individuals who are passionate about language and technology and are eager to contribute to innovative projects. This role is required to handle annotations for AI training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling our client to achieve enhanced accuracy, efficiency, and effectiveness in their AI-driven applications, ultimately delivering superior user experiences and driving innovation in their industry. Key Responsibilities Annotate, classify, and label data accurately according to project guidelines. Collaborate with team members to resolve ambiguities and ensure consistency in annotations. Annotation job process will be repetitive usually and will require the annotator to make judgment-based decisions as per standard operating procedure (SOP) and general guideline documents as provided by the client Utilize data annotation tools and software effectively (training provided). Adapt to various tasks related to human-machine interaction, including speech and text recognition. Maintain high-quality standards while managing repetitive tasks. Language Proficiency Candidate must demonstrate language proficiency in Spanish, Portuguese, Italian and French language in verbal, writing, reading and comprehension. Fluency in Language : Near native (for SME/QC roles) or non-native (for agent/staff roles) proficiency. Equivalent to CEFR level C1 for SME/QC and B2 for agent/staff roles Good English Skills : Ability to understand and communicate effectively in English, as training materials and project documentation are often in English. Skills and Attributes Attention to Detail : Exceptional focus on accuracy and quality in data handling. Team Player : Strong interpersonal skills and the ability to work collaboratively within a team environment. Adaptability : Willingness to learn and adapt to new tools, technologies, and project requirements. Efficient : Ability to efficiently complete the assigned tasks or workload within defined SLA Mail : muthu.r@handigital.com

Selected intern's day-to-day responsibilities include: 1. Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest in images 2. Support researchers in training deep learning models through accurately categorizing content, labeling images, and annotating data 3. Report and document issues faced from data annotation to research team and discuss solutions to improve data 4. Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models 5. Contribute to workflow process improvements Requirements: 1. Preferably with basic computer literacy and information technology experience 2. Comfortable handling of large data sets regularly 3. Ability to work on repetitive tasks efficiently and effectively with minimal errors 4. Excellent communication, analytical, and reasoning skills 5. Possess high motivation with the desire to learn 6. Proactive attitude 7. Strong interest in artificial intelligence and machine learning, especially in deep learning

Job Description: We are seeking passionate and detail-oriented Annotation Engineering Interns to join our team. This is an excellent opportunity for freshers who are interested in gaining hands-on experience in data annotation and artificial intelligence. As an intern, you will play a crucial role in creating and curating high-quality datasets that will be used to train and evaluate our machine learning models. Responsibilities: Annotate and label various types of data (e.g., images, videos, text) according to specific guidelines and criteria. Review and validate existing annotations to ensure accuracy and consistency. Collaborate with the machine learning and data science teams to understand annotation requirements and provide feedback. Assist in developing and refining annotation guidelines and best practices. Utilize annotation tools and software to efficiently complete tasks. Participate in regular team meetings and contribute to discussions on improving the annotation process. Configure AI use cases of Remote Surveillance projects. Analyze AI Edge Device, understand its working, carry our firmware upgrades. Analyze Site data and come up with a solution to resolve site issues. Requirements: A strong passion for artificial intelligence and machine learning. Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field. Strong attention to detail and ability to follow complex guidelines. Good communication skills and ability to work collaboratively in a team environment. Self-motivated with a strong willingness to learn and adapt. Preferred Qualifications: Basic understanding of machine learning and data annotation concepts. Familiarity with data annotation tools and software. Knowledge of programming languages such as Python. Experience with image or video annotation tools (e.g., LabelImg, VGG Image Annotator)

Job location : Remote ( Candidate would need to relocate to Delhi /NCR as per project requirement) Job Role : As a content reviewer (agent) on our Data Annotation team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and AI engineers and will be entrusted with a range of responsibilities. This will include: Creating training data sets for AI models that will help improve its accuracy, fluency, coherence and/or voice Annotating data to help AI models align with human values Analysing and improving basic grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventions. Collaborating closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate on the AI models. Contributing to evolving specifications for AI-model training and data recipes. Navigating a dynamic environment and adapting to shifting guidelines and flexible priorities. Achieve target KPIs, including daily job count, average handle time per job, and specified production hours Education and Abilities Minimum of bachelors degree and above average of the minimum English proficiency level. Minimum of 1-year prior Operations experience in a shared services, Business Process Outsourcing environment or comparable service/process management environment. Sound understanding of grammar, syntax, and semantics. Good reasonable assumption skills, strong attention to details, and ability to handle ambiguities and nuances. Well-honed internet research skills and ability to embrace diverse teams. Adaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities High affinity and cultural awareness of political/social situation regarding the relevant market/region that will be supported by each agent which is critical to be aware of the cultural/regional differences for nuanced policy decisions to be applied in accordance with Metas abuse standard policies and training materials. Thanks TA Team @ Innodata

Looking for performance-oriented individuals Annotators • Daily annotation of records, including all steps involved within the process, from annotation to timeline review. • Ensure production & accuracy targets are met as per client expectation Required Candidate profile • Exp: 06 to 7 • Science (UG/PG) • Utilize the AI tools effectively, so that the process is efficient and effective • Freshers / exp in nursing/ hospital/ annotation environment is an added advantage