4 Cvat Jobs

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 Lead Consultant in the Life Insurance domain at Infosys McCamish in Hyderabad, India, you will be responsible for various key tasks to ensure the successful implementation and management of life insurance products. Your qualifications should include a Bachelor's or Master's degree in engineering, risk management, or a related field, along with a minimum of 10-12 years of relevant experience. Additionally, having a LOMA certification is mandatory for this role. Your role will involve working with the US Insurance domain, specifically in Life or Annuity products. You should have experience in new product launches, implementation, conversion, and migration processes. It is preferred that you have worked with at least one Policy Administration System such as Vantage, Ingenium, OIPA, IPAS, ALIP, or EXIGEN. Having familiarity with compliance and taxation rules and their impact on policy servicing will be beneficial. You should also be skilled in requirements management, gathering tools, and use cases. Knowledge of life insurance terminology and calculations like TAMRA, CVAT, and GPT is essential for this role. Collaborating with actuaries and translating their requirements for development purposes is also part of your responsibilities. Your day-to-day responsibilities will include gathering and documenting requirements, contributing to project work streams, and sharing knowledge with the team. You will need to analyze and resolve policy value, compliance calculations, and mismatches while tracking and prioritizing production issues. Leading stakeholder meetings for feedback and prioritization is also a key aspect of this role. Your expertise in conversion and migration, stakeholder management, compliance checks, deep domain knowledge in US life insurance and annuity products, as well as policy value calculations and documentation, will be crucial for your success in this position. If you require the Job Description in a downloadable format, please let me know.,

You are a detail-oriented Annotator with 2 years of experience, responsible for data labeling and annotation for machine learning models. Your role involves annotating text, image, audio, or video data with high accuracy and consistency. Your main responsibilities include performing high-quality data annotation for AI/ML projects, reviewing and validating annotated data to ensure quality, following annotation guidelines, and collaborating with AI engineers and data scientists to enhance annotation processes. You are expected to meet project deadlines while maintaining consistency in data labeling. To excel in this role, you must have at least 2 years of experience in data annotation across various types of data. Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms is required. Your attention to detail, ability to follow complex guidelines, and a basic understanding of machine learning concepts will be valuable assets. Additionally, you should be comfortable working both independently and within a team environment. If you are passionate about contributing to AI/ML projects and possess the necessary skills and experience, we encourage you to apply for this position and be a part of our dynamic team.,

Responsibilities and Impact Accurately annotate and label data to support the development and enhancement of data products across Commodity Insights. Collaborate with business subject matter experts, product managers and developers to ensure annotations align with the requirements of various commodity data products. Utilize custom tools and workflows to efficiently process and annotate data at speed, minimizing manual input where possible. Participate in training sessions to enhance annotation techniques and deepen understanding of commodity insights products. Contribute to the continuous improvement of annotation guidelines and processes, ensuring they meet the evolving needs across Commodity Insights. What Were Looking For: Basic Required Qualifications Bachelor's degree or equivalent experience in a relevant field. Strong attention to detail and ability to work with complex data sets. Familiarity with data annotation tools and processes. Excellent communication skills to collaborate effectively with team members. Ability to work independently and manage time efficiently in a fast-paced environment. Additional Preferred Qualifications Experience or knowledge in commodity markets or related fields. Proficiency in using data management and annotation software. Demonstrated ability to adapt to new technologies and processes. Strong analytical skills and problem-solving abilities.