AWS SageMaker Ground Truth is a managed data labeling service that simplifies the process of creating high-quality training datasets for machine learning. It provides tools for labeling data using human annotators, automated labeling techniques, or a combination of both, ultimately reducing the time and cost associated with data preparation.
About AWS SageMaker Ground Truth
AWS SageMaker Ground Truth was introduced by Amazon Web Services in 2018. It was created to address the challenges of generating high-quality training datasets for machine learning models. The service aimed to reduce the time and costs associated with data labeling by combining human annotators with automated labeling techniques.
Strengths of AWS SageMaker Ground Truth include its integration with other AWS services, scalability, and ability to reduce labeling costs through automated techniques. Weaknesses include potential dependency on AWS ecosystem and costs for large-scale projects. Competitors include Google Cloud AutoML, Labelbox, and Scale AI.
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How to hire a AWS SageMaker Ground Truth expert

Caio F.
Skills
Full Stack Developer specializing in Ruby on Rails with extensive experience in building and maintaining scalable web applications. Proficient in both front-end and back-end technologies, including JavaScript, HTML, CSS, and SQL databases. Demonstrates a solid understanding of web development principles, including RESTful APIs and MVC architecture. Proven ability to manage and optimize full project development life cycles, from initial design and architecture through to deployment and maintenance. Strong focus on delivering high-quality code, adhering to best practices, and meeting project deadlines consistently. Skilled in collaborative environments, working effectively with cross-functional teams to achieve project goals and improve overall user experience. Constantly seeks to update technical skills and stay current with industry trends and new technologies.

Thiago F.
Skills
A UX/UI Designer with over six years of experience in digital product problem-solving, focusing on creating user flows, wireframes, and prototypes. Emphasis is placed on achieving measurable results through the development of assumptions and the translation of product metrics into actionable insights.

Patrick S.
Skills
A Systems Development graduate with professional engagement in the industry since 2020, specializing as a Full Stack Developer. Possesses expertise in Backend, Web, and Mobile services, currently with a primary focus on Mobile development. Demonstrates competence in managing projects through agile methodologies.

Pedro H.
Skills
Pedro is an experienced mobile developer with a specialization in both Android and iOS platforms, possessing twelve years of industry experience. His expertise lies in transforming concepts into user-friendly and aesthetically pleasing mobile applications. He has a strong track record in developing pixel-perfect user interfaces and ensuring seamless functionality, thereby enhancing user experience. Passionate about leveraging technology to create interactive and vibrant digital experiences, he continues to innovate and contribute to a more connected digital world.

Eduardo B.
Skills
A Software Engineer specializing in backend development, proficient in Python, Django, Docker, and AWS, with experience in agile development methodologies and git-oriented workflows. Demonstrates a track record of delivering web and mobile applications across diverse contexts. Holds a degree in Computer Science, with a current focus on delivering high-quality software solutions. Committed to enhancing skills in DevOps to improve digital product experiences for global partners.

Vinicius L.
Skills
A leader in technology development, specializing in creating innovative solutions in artificial intelligence (AI) and microservices systems, focusing on developing scalable and high-performance architectures with a strong emphasis on integrating advanced technologies to optimize efficiency and functionality. Expertise in conversational and generative AI enables the design of systems incorporating cutting-edge innovations to facilitate natural and intuitive interactions, reflecting proficiency in AI tools and frameworks.
Technical leadership includes coordinating the implementation of distributed systems, utilizing technologies such as AWS Lambda and API Gateway to deliver integrated and efficient cloud services. As an AI specialist and prompt engineer, the role involves developing prompts to enhance the efficiency of conversational and generative systems, integrating these solutions with AI platforms to execute specific tasks and improve interaction and data processing.
Experience as a Software Developer encompasses a wide array of technologies including Java, Vue.js, Flutter, React, Angular, and Node.js, demonstrating competency in developing mobile applications and user interfaces. Technical mastery extends to back-end development using frameworks such as Spring, Hibernate, Express, and NestJS, with practical experience in AI solutions like Microsoft LUIS, IBM Watson, Google Dialogflow, and OpenAI. Proficiency with messaging systems such as RabbitMQ and Apache Kafka, along with managing SQL and NoSQL databases, is also demonstrated.
In the realm of DevOps, there is deep experience with AWS services, the implementation of CI/CD pipelines with Jenkins, version control with Git, and expertise in containerization using Docker and Kubernetes.

Paulo A.
Skills
A Front-End Developer proficient in HTML, CSS, JavaScript, React, and React Native, demonstrating a strong commitment to ongoing professional development and continuous learning within the field.

Guilherme X.
Skills
A dedicated software developer with expertise in Elixir, Phoenix framework, ReactJs, NodeJs, and PostgreSQL. Demonstrates a strong propensity for problem-solving and proficiency in employing a variety of modern technologies. Committed to continuous professional growth and open to learning new languages and frameworks that enhance skill sets.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
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