Data Annotator Salary at Ouva Llc BETA

Description Amazon is among the top 10 most-visited website worldwide. Amazon's search experience is central to how hundreds of millions of customers shop using billions of queries to find products for sale. The scale and impact of Amazon Search is huge. Within the Amazon Search organization, the MIDAS (Metrics, Insights, Data Annotation for Search) team delivers high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation as well as to produce metrics that measure our customer experiences. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers' expectations. We collaborate closely with several machine learning (ML) applied science, engineering, and product teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented

Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management. We're looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you'll fit right in. You will contribute to a cross-functional team that is responsible f

Description Amazon Web Services (AWS) is looking for a data associate to help with annotations and data analysis. As part of the Ai Data Team at AWS you will responsible for delivering high-quality training data to ensure the best performance of the AWS machine learning systems. Our goal is to produce the highest quality training data in the industry and to delight our customers by improving human language understanding and natural language processing. Key job responsibilities * Build a thorough understanding of data collection and annotation guidelines and various annotation tools. * Annotate, generate and QA data, identifying linguistic categories based on detailed annotation and adhering to guidelines. * Use generative AI to facilitate workflows or automate repetitive tasks * Monitor AI outputs for biases or ethical issues and adjusting inputs to mitigate these risks. * Perform annotation related tasks; you participate in data generation, collection and quality assurance tasks * Col

Who we are: ABAKA AI is a leading artificial intelligence company dedicated to becoming the data partner of choice in the global AI industry. With partnerships across over 1,000 top tech companies and research institutions, ABAKA AI supports cutting-edge fields such as autonomous driving, generative AI (GenAI), and embodied AI. We operate global offices in Silicon Valley, Paris, Singapore, and Tokyo, delivering world-class AI data solutions and intelligent data engineering platforms. About the Role We are seeking a Sales Representative to join our North American team to support our continued growth. This role will play a key part in expanding our client base and building strategic relationships in both domestic and international markets. Key Responsibilities Develop and maintain strategic relationships with AI enterprise clients Lead outreach, negotiation, and follow-up efforts across North America and globally Monitor project execution and payment milestones for both new and ongoing c

Member of Technical Staff: Data Platform (ML Data Tools & Labeling) Join a well-known tech startup building the first AI platform tailored for enterprise needs, leveraging world-class large language models. We are seeking passionate data engineers to help shape the future of AI by developing cutting-edge ML data tools and pipelines for high-quality training datasets. What You’ll Do Design and build state-of-the-art data tools that transform raw inputs into high-quality training datasets Develop robust workflows and pipelines for data transformation, filtering, analysis, and cleaning Collaborate closely with ML teams to ensure data meets rigorous enterprise-grade AI standards Continuously evaluate and integrate emerging technologies to enhance data curation processes What We’re Looking For Extensive experience in ML environments and a deep understanding of how high-quality data impacts model performance Strong skills in data transformation, filtering, annotation, and labeling Experience

About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market. 18 of the top 20 global automakers trust Applied Intuition's solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization to work on making significant advances in AI. We are seeking researchers with experience in vision models, 3D reconstruction and generation, and general AI to join the team to investigate how to build contextually aware AI that will be the foundation for a new paradigm in how we interact and use computers. You will work with a highly interdisciplinary team of scientists, engineers, and cross-functional partners with a broad range of experiences, perspectives, approaches, and backgrounds and access cutting-edge technology, resources, and research facilities. Research Scientist, Computer Vision (PhD) Responsibilities Build models that can estimate underlying 3D properties from 2D observations. Conduct research and work with models in 3D reconstruction and generation. Define, build and benchmark new capabilities needed for the next generation of AI. Train and optimize state-of-the-art machine learn

Description The Bedrock AI Data Team in Amazon Web Services (AWS) is looking for a Language Data Science Manager to collaborate in developing solutions for natural language data collections. This position is an opportunity to apply your expertise in a challenging but supportive environment. We are open to hiring candidates to work out of one of the following locations: The mission of the Bedrock AI Data Team is to engineer the datasets critical to the success of AWSs Bedrock services. From human evaluations to Responsible AI safeguards to Retrieval-Augmented Generation and beyond, these products make Generative AI enterprise-ready and safe for users, impacting millions of people every day. We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams. We are customer obsessed and committed to delivering results with the highest quality and integrity. As a Language Data Scie