Data Annotator Salary at Vimaan BETA

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

OVERVIEW We are seeking a Data Annotation Expert with a linguistic background to contribute to a high-profile technology project located in the South Bay, California. The ideal candidate will have a robust understanding of data annotation across various formats (images, text, videos, among others) and a linguistic background or be linguistically aware. Proficiency in English (U.S.) is essential, and knowledge of Romance languages (French, Italian, Portuguese, Spanish, etc) is a plus. They will play a pivotal role in ensuring the quality and accuracy of the project data, with a strong emphasis on writing skills. Project Details Job Title: Data Analysis Specialist Location: On-site at one of our client's offices in South Bay, California Hours: 40 hours weekly Language: English (US) Start date: April 2025 Employment Type: Full-time W-2 employee with benefits - 5 days a week Duration: 1 year with a possibility of extension Pay rate: $31.14/hour Must have valid work authorization in the US

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

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

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

Boson AI is an early-stage startup building large language tools for everyone to use. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on implementing and training deep neural networks, understanding and interpreting model behavior and aligning models to human values. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. We encourage you to apply even if you do not believe you meet every single qualification. As long as you are motivated to learn and join the development of foundation models, we'd love to chat. Responsibilities: Design and run evaluations to measure model's capabilities. Write efficient and

Amazon Q Business is an AI assistant powered by generative technology. It provides capabilities such as answering queries, summarizing information, generating content, and executing tasks based on enterprise data. We are seeking a Language Data Scientist III to join our data team. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Q Business. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users. As part of our diverse team—including language engineers, linguists, data scientists, and program managers—you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence. In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generativ