30 Data Labeling Jobs

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, engineers, and product teams is essential to deliver AI solutions that align with business requirements. Your role will involve developing scalable solutions and deployment pipelines to operationalize machine learning models effectively. You will need to prioritize model efficiency, ensuring high speed and low latency in production environments. Staying updated on the latest trends and technologies in AI, machine learning, and computer vision will be key in enhancing existing solutions. Additionally, you will conduct thorough evaluations of models using relevant metrics and implement strategies for performance enhancement. Troubleshooting and resolving model-related issues in production environments will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science and possess at least 3 years of experience in machine learning or deep learning, focusing on computer vision. Expertise in model fine-tuning, transfer learning, and working with pre-trained models like ResNet, VGG, and EfficientNet is required. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras, along with a deep understanding of deep learning architectures, is essential. Familiarity with vision-specific tasks, data preprocessing, augmentation, and labeling techniques for vision tasks, as well as proficiency in programming languages like Python, C++, or similar, are necessary. A strong grasp of model evaluation techniques and metrics for computer vision tasks and experience with cloud platforms and containerization technologies will be advantageous.,

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions in Chennai, India are looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles in corporate, operations, and product and technology. Our global product and technology organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep sense of customer centricity, calm persistence in solving hard problems, and a shared passion for innovation. If you're looking to grow, lead, and contribute to something larger than yourself, we'd love to have you on this journey. Let's build something extraordinary together. Join us in shaping the future of automotive! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. We are looking for an experienced and motivated Data Annotations Operator III to lead our team of annotators. In this role, you will ensure the team delivers high-quality annotated datasets to support machine learning and AI model development. You will oversee the annotation process, maintain quality standards, and serve as a liaison between the annotation team and project stakeholders. Key Responsibilities: Team Leadership: - Supervise, mentor, and provide guidance to the data annotation team. - Coordinate task assignments, set priorities, and ensure timely delivery of projects. - Conduct regular team meetings to align on project goals and address challenges. Quality Assurance: - Review and validate annotated datasets to ensure they meet accuracy and quality standards. - Identify and address discrepancies or errors in annotations. - Develop and enforce quality control measures and performance metrics. Process Optimization: - Collaborate with project managers and data scientists to define annotation guidelines and requirements. - Continuously improve workflows to enhance team efficiency and productivity. - Provide feedback to improve annotation tools and processes. Training and Development: - Train new team members on annotation tools, workflows, and best practices. - Conduct skill-building sessions to keep the team updated on new tools and techniques. - Monitor individual performance and provide constructive feedback for growth. Reporting and Communication: - Prepare and present progress reports to stakeholders. - Act as the point of contact between the annotation team and other departments. - Escalate challenges and propose solutions for project-related issues. Qualifications and Skills: Required: - Proven experience in data annotation, data labeling, or a related field with 4 years" experience - Prior experience in a supervisory or leadership role. - Strong knowledge of annotation tools - Excellent organizational and time management skills. - Strong communication skills and the ability to motivate and manage a team. - Attention to detail and a commitment to high-quality work. - Teammates are required to work in shifts aligned with customer time zones Preferred: - Experience with scripting or automation for annotation processes. - Knowledge of specific data domains (e.g, automotive). Our Values: Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling Data Processing Consent: When you apply to a job on this site, the personal data contained in your application will be collected by ACV Auctions Inc. and/or one of its subsidiaries ("ACV Auctions"). By clicking "apply", you hereby provide your consent to ACV Auctions and/or its authorized agents to collect and process your personal data for purpose of your recruitment at ACV Auctions and processing your job application. ACV Auctions may use services provided by a third party service provider to help manage its recruitment and hiring process. For more information about how your personal data will be processed by ACV Auctions and any rights you may have, please review ACV Auctions" candidate privacy notice here. If you have any questions about our privacy practices, please contact datasubjectrights@acvauctions.com.,

GlobalLogic is looking for motivated, intelligent, and detail-oriented individuals to join their team as Associate Analysts. In this role, you will be responsible for data labeling and annotation to support the development of AI and machine learning models. Even if you do not have prior experience in data annotation, comprehensive training will be provided. If you possess basic computer knowledge and are comfortable using Microsoft Office or Google Suite, this is an excellent opportunity to kickstart or advance your career in the AI/ML industry. As an Associate Analyst at GlobalLogic, you will be expected to have a Bachelor's degree in any discipline, basic computer proficiency, and comfort with MS Office or Google Suite. Strong focus, attention to detail, and the ability to perform repetitive tasks are crucial for this role. You should be a quick learner with a problem-solving mindset, willing to work from the office and open to rotational shifts in a 24/7 work environment. A keen interest in AI, data processing, or machine learning is desirable, along with a high level of reliability, adaptability, and initiative. Your responsibilities will include manually labeling data points such as text, audio, video, and images following clear guidelines and instructions. You will need to ensure accuracy and consistency in annotated data by adhering to predefined quality standards. Strong written and verbal communication skills are essential for understanding and interpreting tasks clearly. Additionally, you will be required to apply reading, writing, and listening skills to interpret and describe different types of content effectively, as well as troubleshoot annotation-related challenges with critical thinking and problem-solving skills. At GlobalLogic, you can expect a culture of caring where people are prioritized, and inclusivity is promoted. Learning and development opportunities are abundant, ensuring continuous growth and skill enhancement. The work you will be involved in is interesting, meaningful, and impactful, allowing you to engage your curiosity and problem-solving skills. Balance and flexibility are encouraged, and GlobalLogic values integrity and trust as fundamental aspects of its organizational culture. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to leading companies worldwide, driving the digital revolution since 2000. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services.,

GlobalLogic is seeking motivated, intelligent, and detail-oriented individuals to join their team as Associate Analysts. The role involves data labeling and annotation to support the development of AI and machine learning models. No prior data annotation experience is required as comprehensive training will be provided. If you have basic computer knowledge and are comfortable using Microsoft Office or Google Suite, this is a great opportunity to begin or advance your career in the AI/ML industry. Requirements: - Bachelor's degree in any discipline - Basic computer proficiency and comfort with MS Office or Google Suite - Strong focus, attention to detail, and ability to perform repetitive tasks - Quick learner with a problem-solving mindset - Willingness to work from the office (mandatory) - Open to rotational shifts in a 24/7 work environment - A strong interest in AI, data processing, or machine learning - High level of reliability, adaptability, and initiative - Readiness to contribute in a high-volume, quality-driven team environment Job Responsibilities: - Manually label data points including text, audio, video, and images following clear guidelines and instructions - Ensure accuracy and consistency in annotated data by adhering to predefined quality standards - Understand and interpret tasks clearly with strong written and verbal communication skills - Apply reading, writing, and listening skills to interpret and describe different types of content effectively - Perform repetitive tasks with high levels of focus and attention to detail - Troubleshoot annotation-related challenges with critical thinking and problem-solving skills - Work efficiently in a fast-paced environment, managing tight deadlines and large-scale datasets - Be open to assisting with non-personal data collection (e.g., capturing images or audio clips of objects like receipts, books, vehicles, roads, buildings, etc.) - Quickly adapt to new annotation tools or software platforms What GlobalLogic Offers: - Culture of caring: Prioritizing a culture of caring, inclusive culture of acceptance, and belonging - Learning and development: Continuous learning and growth opportunities with various programs and training curricula - Interesting & meaningful work: Engaging projects that matter with opportunities to work on cutting-edge solutions - Balance and flexibility: Importance of work-life balance and flexible work arrangements - High-trust organization: Integrity, trust, and ethical practices at the core of the company's values About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences. Collaborating with forward-thinking companies, GlobalLogic transforms businesses and redefines industries through intelligent products, platforms, and services.,

As a member of the Machine Learning team at JPMorgan Chase, you will have the opportunity to work on cutting-edge machine learning projects that optimize business decisions using the company's unique data assets. Your role will involve collecting, annotating, and enriching data for machine learning models across various lines of business within the company. You will be responsible for providing data annotation services for different data types including text, chats, emails, and audio. Understanding the business use-case will be crucial as you own the data annotation pipeline, ensuring the raw data is transformed into reliable, annotated ground truth for sophisticated machine learning methods used in banking applications such as risk assessment, trading models, customer relationship management, and pricing models. Your responsibilities will include working on data labeling tools, collaborating with stakeholders from different departments, understanding and defining relationships among entities, transcribing audio recordings, developing workflows and guidelines for data annotation, and becoming a subject matter expert in the field. To excel in this role, you should hold a Masters in Business Management (MBA) with a finance specialization, possess 5-7 years of experience in data collection, analysis, or research, and have a strong understanding of model scoring parameters and data annotation techniques. Additionally, you should be able to work both independently and as part of a team, have a keen interest in data analytics techniques, and be familiar with industry-standard annotation methods and AI paradigms. If you are someone who is detail-oriented, motivated by complex analytical problems, and eager to contribute to the advancement of machine learning applications in the financial industry, this role offers a unique opportunity to showcase your skills and expertise while collaborating with a world-class machine learning team at JPMorgan Chase.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

About Us Exotel is a leading provider of AI transformation to enterprises for customer engagement and experience. With over 20 billion annual conversations across Omni channel, voice, agents and bots, Exotel is trusted by more than 7000 clients worldwide, spanning industries such as BFSI, Logistics, Consumer Durables, E-commerce, Healthcare and Education. Customer expectations are evolving and businesses face the challenge of balancing the need for increased revenue, optimized costs, and exceptional customer experience (CX). Exotel steps forward as your transformative partner, offering an AI-powered communication solution to address all three! Role Overview As the Director / Sr. Director Product Management for AI Products at Exotel, you will lead the strategy, roadmap, and execution of our AI product portfolio, which includes Conversational AI (voice bots and chatbots), Conversational Quality Analysis and Agent Assist. You will play a pivotal role in building cutting-edge AI-first experiences that enhance customer engagement, improve operational efficiency, and differentiate Exotels CPaaS and CCaaS offerings. This role requires a visionary product leader who combines a deep understanding of AI/ML technologies with strong business acumen, user empathy, and execution excellence. You will partner closely with Engineering, Data Science, Design, Marketing, and Customer teams to create scalable AI products that deliver measurable impact. Experience Product Leadership in AI 15+ years of total experience, with at least 5+ years leading AI/ML product development in a SaaS or cloud-based environment. Strong understanding of LLMs, NLP, Speech-to-Text, NLU/NLG, and AI frameworks. Track record of building and scaling AI products from 0 to 1 and 1 to scale. Enterprise & SaaS Experience At least 5 years of experience building products for enterprise-grade clients. Proven success working in B2B SaaS or enterprise tech domains. Prior exposure to customer experience, contact center automation, or sales/service productivity tools is a plus. Tech Fluency Comfortable working with AI/ML engineers and data scientists to define product requirements. Familiarity with model training workflows, data labeling, and model evaluation metrics. Deep appreciation for privacy, security, and ethical considerations in AI products. Business Acumen Ability to quantify TAM/SAM for AI opportunities and build strong business cases. Experience pricing AI solutions (consumption-based, usage-based, or per-seat licensing models). Strong metrics-orientation: focus on adoption, ROI, time-to-value, and operational efficiency. What You Bring Customer First Thinking: You prioritize real-world problems over technology novelty, focusing on how AI delivers outcomes. Strong Product Sense: You translate abstract ideas into structured product plans with measurable outcomes. Bias for Execution: Ability to lead complex AI initiatives with clarity, speed, and cross-functional collaboration. Continuous Learning: You stay updated on AI trends while grounding your decisions in customer feedback. Data-Informed Mindset: Youre fluent in experimentation, A/B testing, and feedback loops to inform product decisions. Thoughtful Collaboration: You foster a culture of alignment without authority, balancing conviction with openness. Leadership Team Leadership Experience hiring, coaching, and growing high-performing product managers. Ability to mentor team members on technical depth, strategy, and stakeholder influence. Cross-Functional Partnership Proven success working closely with AI/ML, engineering, data science, sales, and CX. Skilled in influencing exec stakeholders and aligning divergent viewpoints. Evangelism & Thought Leadership Comfortable representing Exotel at conferences, customer briefings, and analyst forums. Strong storytelling skills to drive internal alignment and external excitement. What This Role Offers Category-Creation Opportunity: Shape Exotels next-gen AI roadmap across customer engagement touchpoints. Impact at Scale: Drive real-time decisioning, automation, and personalization across millions of customer conversations. Innovation Playground: Work with state-of-the-art LLMs, speech models, and real-world data at scale. Career Acceleration: High-visibility role with potential to evolve into VP-level responsibilities. Collaborative Culture: Join a diverse team that values experimentation, humility, and shared win Show more Show less

Job Overview: We are seeking a highly detail-oriented and experienced Data Annotation Specialist to join our AI/ML team. The ideal candidate will have a solid background in labeling multimodal data (image, text, video, audio) for machine learning applications and a proven ability to maintain high-quality annotation standards. This role requires a mix of technical proficiency, domain awareness, and strong quality assurance capabilities. Key Responsibilities: Annotate image, text, video, and multimodal datasets for AI/ML model training. Perform object detection, classification, and tagging in visual data. Conduct text annotation for intent detection, sentiment analysis, and named entity recognition (NER). Execute video annotation for activity recognition and event labeling. Apply quality assurance (QA) standards across annotation tasks and provide feedback to maintain consistency. Use industry-standard annotation tools such as Labelbox, CVAT, Prodigy, AWS SageMaker Ground Truth, and Scale AI platforms. Interpret and implement complex annotation guidelines with minimal supervision. Collaborate with cross-functional teams to refine annotation schema and ensure data readiness for model training pipelines. Required Qualifications: 5+ years of hands-on experience in data labeling/annotation across multiple data types. Proficiency with annotation platforms including (but not limited to) Labelbox, CVAT, Prodigy, and AWS Ground Truth . Strong attention to detail with the ability to maintain accuracy in repetitive tasks. Familiarity with QA processes in the data annotation lifecycle. Basic understanding of machine learning workflows and data preparation. Experience working with complex annotation guidelines and adapting to evolving task requirements. Preferred Qualifications: Domain knowledge in Natural Language Processing (NLP), Computer Vision , or Speech Recognition . Experience with scripting languages like Python for data preprocessing, automation, or QA validation. Prior experience in leading annotation teams or managing projects with distributed contributors. Familiarity with agile project management tools such as Jira or Asana. Soft Skills: Excellent verbal and written communication skills. Strong collaboration mindset, capable of working with interdisciplinary teams. Ability to work independently , manage multiple tasks, and prioritize effectively. Proactive problem-solver with a keen eye for process optimization.

As a Content Writer at a reputed MNC in Noida (WFO), you will play an essential role in creating a safe and enjoyable environment for social media users. Your primary responsibility will involve identifying, classifying, categorizing, annotating, and labeling user-submitted online content. You will also review project guidelines to provide the client with valuable data for machine learning programs aimed at process improvements. Your role will require you to evaluate a large volume of content, which may include spam, NSFW content, abusive language, images, videos, and other data types. As project requirements may change, you should be willing to take on additional responsibilities as needed. Continuous training programs will be provided to support your development within the role. To excel in this position, you must consistently meet or exceed specified progress goals. You will be expected to review content thoroughly, uphold accuracy and quality standards, and follow project procedures and guidelines. Regular participation in debriefings and meetings, submission of edge cases for discussion, and compliance with confidentiality policies are also key responsibilities. Ideal candidates should possess a deep understanding of social media language, slang, trends, and popular culture references, particularly in the U.S. scene. High levels of social and cultural awareness, along with strong emotional intelligence, are essential. You should be detail-oriented, capable of making quick decisions, and maintain a collaborative attitude in the workplace. Adaptability, resilience, and flexibility to meet changing deadlines and client requirements are crucial aspects of this role. It is mandatory to have a Bachelor's Degree and a private home workspace to ensure confidentiality of sensitive content. A reliable home internet connection is also required. Preferred qualifications include 2 years of experience in data labeling and annotation, an active social media presence, and excellent oral and written communication skills.,

You are seeking a Freelance Content Writer who possesses the talent to transform any information into a captivating storyline. If you are interested in establishing a long-term freelance collaboration, this opportunity may be perfect for you. The ideal candidate should have a minimum of 4 years of experience in creating, visualizing, and expanding original content in various formats. Prior experience in Real Estate, E-commerce, OTA industry, as well as lease abstraction, CAM audit, CAM reconciliation, lease administration, Property accounting, and Data labeling service-line is highly preferred. Proficiency in writing in American English, along with exceptional editing and proofreading skills, is necessary. Knowledge of SEO writing techniques is also required for this role. As a Freelance Content Writer, you will be responsible for crafting content in diverse formats such as blogs, whitepapers, case studies, web page content, marketing collaterals, and mailers. You will be expected to deliver original and authentic content while maintaining a zero plagiarism standard. Applicants should have a portfolio of published articles and demonstrate the ability to meet deadlines consistently. To apply for this position, you can submit your application through our website. You are encouraged to include samples of your work or a portfolio showcasing your published articles alongside your application.,

The role of a Content Writer at an MNC in Noida (WFO) involves being an integral part of maintaining a safe and enjoyable environment for social media users. As a Content Writer, your primary responsibility will be to identify, classify, categorize, annotate, and label user-submitted content. This includes reviewing project guidelines to provide data for machine learning programs aimed at process improvements. You will need to view and evaluate large volumes of content, which may include spam, Not Safe for Work (NSFW) content, abusive language, images, videos, and other data types. The job may involve taking on additional roles as the project requirements evolve. Ongoing training programs will be provided for your professional development. To succeed in this role, you must consistently meet or exceed predefined progress goals. Responsibilities include reviewing content, ensuring project procedures are followed, participating in meetings, meeting performance indicators, and submitting edge cases for discussion. You should comply with corporate confidentiality policies and stay updated on workflow process changes. Qualifications for this position include being adept at social media language, having familiarity with social media trends, and demonstrating high levels of social and cultural awareness. Strong emotional intelligence, attention to detail, quick decision-making abilities, and a collaborative attitude are essential. You should be resilient, adaptable, and flexible to meet changing deadlines and client requirements. A dedicated and private home workspace with reliable internet is necessary to maintain confidentiality. A Bachelor's Degree is a must for this role. Preferred qualifications include 2 years of experience in data labeling, an active social media presence, and excellent oral and written communication skills.,

The Associate Cybersecurity Analyst - Engineering & Operations at our company is responsible for monitoring, analyzing, and resolving network security incidents on both on-premises and cloud-based systems. You will manage technical support requests, prioritize escalations, and ensure application uptime for users. Your role will involve troubleshooting issues related to security devices such as firewalls, proxies, and host-based controls, as well as following established service level agreements to provide timely responses. Key Responsibilities: - Monitor, analyze, and resolve network/cloud security incidents - Troubleshoot issues related to security configurations on various platforms - Follow work instruction playbooks and runbook automations - Support and promote Visas Cybersecurity operation standards - Track, update, and resolve assigned incidents in the incident management system - Maintain high-quality documentation and follow documented support procedures - Measure and review work instructions for accuracy and improvement - Proactively monitor, recognize, analyze, and resolve hardware and software problems - Communicate effectively with internal and external stakeholders regarding incident resolution This position involves shift work with 9-hour shifts between 7 AM and 7 PM, covering work 365 days a year. It is a hybrid role, with specific days in the office to be confirmed by the hiring manager. Qualifications: Basic Qualifications: - Bachelor's degree OR 3+ years of relevant work experience Preferred Qualifications: - 2 or more years of work experience - Experience as a Network/Security Operations Engineer or support analyst - Understanding of network monitoring tools and protocols - Knowledge of cloud-based security monitoring tools - Familiarity with networking, routing topology, and cybersecurity frameworks - Proficiency in ITIL concepts and incident management tools - Skills in maintaining firewall platforms and MS Office suite If you are looking to make an impact in the cybersecurity field and work with cutting-edge technologies, we encourage you to apply for this position.,

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions in Chennai, India are looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles in corporate, operations, and product and technology. Our global product and technology organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep sense of customer centricity, calm persistence in solving hard problems, and a shared passion for innovation. If you're looking to grow, lead, and contribute to something larger than yourself, we'd love to have you on this journey. Let's build something extraordinary together. Join us in shaping the future of automotive! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. We are looking for an experienced and motivated Data Annotations Operator III to lead our team of annotators. In this role, you will ensure the team delivers high-quality annotated datasets to support machine learning and AI model development. You will oversee the annotation process, maintain quality standards, and serve as a liaison between the annotation team and project stakeholders. Key Responsibilities Team Leadership: - Supervise, mentor, and provide guidance to the data annotation team. - Coordinate task assignments, set priorities, and ensure timely delivery of projects. - Conduct regular team meetings to align on project goals and address challenges. Quality Assurance: - Review and validate annotated datasets to ensure they meet accuracy and quality standards. - Identify and address discrepancies or errors in annotations. - Develop and enforce quality control measures and performance metrics. Process Optimization: - Collaborate with project managers and data scientists to define annotation guidelines and requirements. - Continuously improve workflows to enhance team efficiency and productivity. - Provide feedback to improve annotation tools and processes. Training and Development: - Train new team members on annotation tools, workflows, and best practices. - Conduct skill-building sessions to keep the team updated on new tools and techniques. - Monitor individual performance and provide constructive feedback for growth. Reporting and Communication: - Prepare and present progress reports to stakeholders. - Act as the point of contact between the annotation team and other departments. - Escalate challenges and propose solutions for project-related issues. Required Qualifications and Skills: - Proven experience in data annotation, data labeling, or a related field with 4 years" experience - Prior experience in a supervisory or leadership role. - Strong knowledge of annotation tools - Excellent organizational and time management skills. - Strong communication skills and the ability to motivate and manage a team. - Attention to detail and a commitment to high-quality work. - Teammates are required to work in shifts aligned with customer time zones Preferred - Experience with scripting or automation for annotation processes. - Knowledge of specific data domains (e.g, automotive). Our Values - Trust & Transparency - People First - Positive Experiences - Calm Persistence - Never Settling Data Processing Consent When you apply to a job on this site, the personal data contained in your application will be collected by ACV Auctions Inc. and/or one of its subsidiaries ("ACV Auctions"). By clicking "apply", you hereby provide your consent to ACV Auctions and/or its authorized agents to collect and process your personal data for purpose of your recruitment at ACV Auctions and processing your job application. ACV Auctions may use services provided by a third party service provider to help manage its recruitment and hiring process. For more information about how your personal data will be processed by ACV Auctions and any rights you may have, please review ACV Auctions" candidate privacy notice here. If you have any questions about our privacy practices, please contact datasubjectrights@acvauctions.com.,

As a candidate for the position, you should hold a Bachelor's degree or an equivalent practical experience, along with at least 5 years of experience in either technical project management or a customer-facing role. Your background should also include working in an operations role and familiarity with human evaluation or data labeling environments. Ideally, you will have experience collaborating with engineers, product managers, product specialists, or operations managers to drive product and process development. Proficiency in problem-solving tools such as SQL, enabling you to extract insights from datasets and provide recommendations, is highly desirable. You should be able to manage your time effectively in a fast-paced environment, adapting and prioritizing tasks as needed. Building consensus and working effectively with cross-functional teams and internal stakeholders is crucial, underscoring the importance of excellent communication skills for seamless collaboration with international teams. In this role within the Platforms and Devices team at Google, you will be part of a group dedicated to improving user experiences across various computing software platforms and first-party devices. The team is focused on researching, designing, and developing technologies that enhance user interactions with computing, creating innovative solutions for users worldwide. Your responsibilities will include owning product data streams, collaborating with subject matter experts to implement evaluations, and collecting data to measure rater accuracy and agreement. Monitoring data quality and operational KPIs will be essential, as you analyze results to drive improvements and address any issues that arise. Working closely with stakeholders, you will prioritize data collection tasks and manage scheduling within the allocated budget. Collaboration with global vendor raters, managers, and trainers will be necessary to identify and resolve gaps or issues in data collection processes. Staying informed about the latest data labeling methodologies, including human rater labeling and machine learning, will enable you to provide valuable recommendations to your cross-functional teammates for application solutions.,

Job Title: Data Annotation Specialist Designations Business Analyst Location: Noida, Uttar Pradesh, India Experience Level: 2 to 5 years Job Description We are seeking a detail-oriented and skilled Data Annotation Specialist to join our dynamic team in Noida. The ideal candidate will have a strong background in data annotation and labeling, with excellent communication skills and a commitment to quality assurance. In this role, you will be responsible for accurately annotating and labeling data to support our ongoing projects. Key Responsibilities: - Perform data annotation and labeling tasks for various data types, including text, images, and audio. - Ensure high-quality outputs by adhering to established guidelines and standards. - Collaborate with cross-functional teams to understand project requirements and deliver annotated data accordingly. - Conduct quality assurance checks on annotated data to maintain high standards of accuracy and consistency. - Provide feedback and suggestions for improving annotation processes and tools. - Document annotation guidelines and report any discrepancies or challenges encountered during the process. Desired Skills and Qualifications - Minimum of 2 years and a maximum of 5 years of experience in data annotation, labeling, or a similar role. - Proficiency in data annotation and labeling tools and software. - Strong attention to detail with the ability to work independently and meet deadlines. - Excellent communication skills, both written and verbal. - Experience in quality assurance and quality analysis to ensure the integrity of annotated data. - Familiarity with transcription tasks is a plus. Why Join Us - Opportunity to work in a fast-paced, innovative environment. - Collaborate with a talented team of professionals dedicated to excellence. - Competitive salary and benefits package. - Opportunities for professional growth and advancement. If you have a passion for data and a keen eye for detail, we invite you to apply for the Data Annotation Specialist position. Please send your resume and cover letter outlining your experience and skills relevant to this role. We are an equal opportunity employer and value diversity in our workforce. We encourage all qualified individuals to apply.

Job Title: Quality Analyst Designations Business Analyst Location: Noida, Uttar Pradesh, India Primary responsibilities: Support researchers in training deep learning models through accurately categorizing content, annotating data, labelling images and as described in the project roadmap. Ability to work on repetitive tasks efficiently and effectively with minimal or no errors. Strong interest in Artificial Intelligence and machine learning, especially in deep learning. Report and document issues faced from data annotation to the Research team and suggest solutions Comprehending the overall purpose of an annotation task based on requirements Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models Internal project work to contribute to the growth, directions, models/annotators task, process, etc. Mandatory requirements: Excellent English-language oral and written communications skills Minimum 3-5 years in a Professional environment (International Contact Centers) with much of that time in a Quality Assurance Role or data annotation. Identify, analyze, and interpret trends or patterns in data sets to generate actionable insights. Excellent hands-on experience in performing Root Cause Analysis. Strong business acumen. Should be a graduate in any stream with intermediate knowledge of MS Office. Knowledge of contact center applications/metrics such as QM, Speech Analytics, AHT, FCR & NPS. Graduate with minimum 2-6 years experience of Contact Center. Atleast 3 years experience in call quality function. Open for US Shift. Open for WFO Open for 18 Months Bond.

You are an experienced Medical AI Analyst with 2-6 years of experience, adept at working with CT scans on AI platforms. Your role involves data labeling, meticulous observation, and attention to detail when utilizing AI tools for tasks, especially focusing on biomarkers. Analyzing radiology images, tracing, tracking, and marking essential scan details are crucial aspects of your responsibilities. You are responsible for delivering accurate outputs to clients, demonstrating proficiency in presenting CT scans of patients with asthma and lung cancer, and providing biomarker solutions. Your expertise includes precise data collection through navigation and tracking processes using AI-powered software, ensuring quality and efficiency. Coding reports in electronic data forms within Salesforce is within your skill set. Understanding medical images and datasets while aligning with project guidelines is vital for successful project completion. You will be working at iMerit, a leading global provider of data services for Artificial Intelligence in Healthcare. The company's Medical Division collaborates with prominent pharmaceutical companies, medical device manufacturers, and hospital networks to facilitate advancements in Machine Learning. iMerit has a proven track record of supporting cutting-edge technologies like digital radiology, digital pathology, clinical decision support, and autonomous robotic surgery. Recognized as a Great Place to Work for three consecutive years, iMerit fosters an inclusive work culture that promotes professional growth and goal achievement. Emphasizing gender equality, over 50% of the company comprises Women in Tech who actively contribute to innovative AI technologies across various industries. Joining iMerit means becoming part of a dynamic team in a fast-growing technology company, driving advancements in data enrichment, annotation, and labeling for AI and Machine Learning. As a full-time employee, you can benefit from health insurance, leave encashment, paid sick time, Provident Fund, and work-from-home opportunities. Operating on a fixed shift schedule, you will thrive in a collaborative environment focused on technological innovation and career development. For further details and to explore career opportunities, please visit www.imerit.net. (Note: The job type is Full-time, and the application question pertains to the applicant's Highest Qualification. The work location is in person.),

You will play an integral role in maintaining a safe and enjoyable atmosphere for social media users as an Associate at our Noida location. Your primary responsibility as a data annotator will be to identify, classify, categorize, annotate, and label predetermined user-submitted online or other content, while adhering to project guidelines and specifications. This data will be used in machine learning programs to drive process improvements. As an Associate, you must be prepared to evaluate large volumes of content, which may include spam, Not Safe for Work (NSFW) content, disturbing language, images, videos, and other data types. Given the evolving nature of projects, you should be willing to assist in other roles as needed. Ongoing training programs will be provided to support your development within the role. Your success will be measured by your ability to consistently meet or exceed predefined progress goals. You will be expected to review and understand content, ensure compliance with project procedures and guidelines, and maintain a high standard of accuracy and quality. Participation in debriefings, meetings to discuss edge cases, and adherence to corporate confidentiality policies are also key responsibilities. Qualifications for this role include proficiency in social media language and slang, familiarity with social media trends and popular culture references, particularly in the U.S. scene, and high levels of social and cultural awareness. Strong emotional intelligence, attention to detail, quick decision-making abilities, and a collaborative attitude are essential. You should also be resilient, adaptable, and flexible to meet changing deadlines and client requirements, with a bachelors degree being a must. Preferred qualifications include 1-2 years of experience in data labeling and annotation, an active social media presence, and excellent oral and written communication skills. A dedicated and private home workspace with reliable internet access is required to ensure confidentiality of sensitive content. This is a full-time, permanent position with benefits such as Provident Fund and a quarterly bonus. The work schedule is during day shifts, Monday to Friday. The job is located in person at our Noida office.,

We are seeking a meticulous and experienced Data Annotator with strong expertise in semantic segmentation and polygon annotations in the field of computer vision. Also work on NLP annotation tasks as needed

WORK FROM OFFICE CHENNAI DAY SHIFT Immediate Joiners Good communication with proper documents Catalog analysts will be responsible for working on one or more critical programs or tasks for a product category. The tasks include (but not limited to) audit vendor submissions to meet client's catalog standards, interacting or coordinating with suppliers/manufacturers, identifying and correcting errors/complaints, maintaining records of work received and performed. The individual is expected to perform these tasks by using fair judgement in understanding instructions provided by the process lead/manager. The role will have daily deliverables across productivity, quality and utilization as basic metrics. This role will work with various partners within the organization to enhance the business. Essential duties and responsibilities include the following (other duties may be assigned) Responsibilities: 1. Handle daily volumes of the assigned tasks and ensure that the given SLA are met per the quality standards. 2. Maintain records of day-to-day work by updating the trackers to reflect work done. 3. Demonstrate excellent time management skills. 4. If there is a possible default on SLAs or quality, flag the escalation in time to the manager or lead. 5. Interacting and collaborating with suppliers or merchants to accurately reflect the product information in the client catalog. 6. Willingness to take initiatives and responsibilities. Requirements: 1. Must be flexible to meet business requirements. 2. Bachelor's degree in any discipline. 3. Proficient in MS Office tools. 4. Strong written and oral communication skills in English is critical for the role. 5. Strong business communication skills to communicate with internal or external stakeholders clearly and concisely. 6. Good logical thinking and problem-solving ability. 7. Ability to understand a problem, perform root cause analysis and identify constraints to recommend a solution. 8. Ability to deal with ambiguity; use discretion and judgement to take decisions on critical business tasks based on available information. 9. Think beyond standard tasks to simplify or automate

Job Title- Annotation Analyst (1- Year Apprenticeship Program) Location: Gandhinagar, Ahmedabad Department: Data Operations Contract Type: Apprenticeship (1 Year, Full-Time) Stipend: 2,50,00 Per Annum Start Date: 29th July 2025 Job Description: We are looking for motivated and detail-oriented Annotation Analysts who are fresh graduates eager to start their careers in the AI and data annotation field. As an Annotation Analyst, you will play a crucial role in training machine learning models by accurately labeling and annotating data such as images, text, audio, or video. Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Strong attention to detail and visual-sapital understanding Able to commit to a 1-year contract , with availability for a full-time onsite role Basic understanding of image editing or annotation tools Comfortable working in a non voice, back office environment Good problem solving skills and a proactive approach to quality control Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Familiarity with Floor Plan, interior layouts Knowledge of 3D modelling or related software tools Requirements: Education Qualification: Any Graduate, Post Graduate graduating in 2025 are eligible to apply Any graduate with certification done in AutoCAD or VFX or Graphic Designing or Photoshop Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Individuals who are quick learners and open to feedback Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Working model: 24/7 (Work from Office) Work schedule: Must be open to work in night shifts and rotational weekends Perks and Benefits Stipend- 2.50 LPA - 3.0 LPA Medicare Benefits Both side cab facilities. Medical Insurance Life Insurance

Role & Responsibilities: Help in the training of an AI assistant model to enhance its accuracy and performance Evaluate the model's responses across multiple dimensions to ensure quality and relevance Maintain high standards of speed and precision while assessing the model's responses Must Required Traits: Strong attention to detail Ability to carefully follow instructions Excellent proficiency in English

Accurately extract, label, and clean data from English-language emails to maintain high data quality. Monitor and analyze merchant/vendor data trends to detect anomalies or patterns. Categorize email content and identify notable trends across different merchants. Investigate irregularities in data (e.g., sudden spikes or drops) and maintain data consistency. Collaborate with global teams (China and U.S.) to align on data quality standards. Respond to analyst/client requests promptly while ensuring adherence to data security protocols. Requirements: Bachelor's degree (preferred majors: Computer Science, Statistics, Business Analytics). 02 years of experience in data analysis or QA roles. Experience with data tagging, cleaning, and regular expressions (Regex). Familiarity with Excel, SQL, or Python for basic data manipulation. Strong attention to detail and analytical thinking. Ability to manage multiple tasks and work independently with remote teams. Excellent written and verbal communication skills in English.

Accurately extract, label, and clean data from English-language emails to maintain high data quality. Monitor and analyze merchant/vendor data trends to detect anomalies or patterns. Categorize email content and identify notable trends across different merchants. Investigate irregularities in data (e.g., sudden spikes or drops) and maintain data consistency. Collaborate with global teams (China and U.S.) to align on data quality standards. Respond to analyst/client requests promptly while ensuring adherence to data security protocols. Requirements: Bachelor's degree (preferred majors: Computer Science, Statistics, Business Analytics). 02 years of experience in data analysis or QA roles. Experience with data tagging, cleaning, and regular expressions (Regex). Familiarity with Excel, SQL, or Python for basic data manipulation. Strong attention to detail and analytical thinking. Ability to manage multiple tasks and work independently with remote teams. Excellent written and verbal communication skills in English.

Accurately extract, label, and clean data from English-language emails to maintain high data quality. Monitor and analyze merchant/vendor data trends to detect anomalies or patterns. Categorize email content and identify notable trends across different merchants. Investigate irregularities in data (e.g., sudden spikes or drops) and maintain data consistency. Collaborate with global teams (China and U.S.) to align on data quality standards. Respond to analyst/client requests promptly while ensuring adherence to data security protocols. Requirements: Bachelor's degree (preferred majors: Computer Science, Statistics, Business Analytics). 02 years of experience in data analysis or QA roles. Experience with data tagging, cleaning, and regular expressions (Regex). Familiarity with Excel, SQL, or Python for basic data manipulation. Strong attention to detail and analytical thinking. Ability to manage multiple tasks and work independently with remote teams. Excellent written and verbal communication skills in English.