Data Insights Specialist

1 day ago


Los Angeles, California, United States The Valentino Group Full time
Job Overview

The Valentino Group seeks a skilled Data Insights Specialist to join its team. This role is pivotal to the success of our cutting-edge AI systems, providing high-quality data essential for training and optimizing our intelligent robotics solutions.

Key Responsibilities
  • We are looking for someone with experience in data collection, entry, or annotation, preferably in an AI or robotics setting.
  • You will be responsible for gathering, organizing, and ensuring the accuracy of diverse datasets that fuel our client's advanced machine learning and AI algorithms.
  • Your work will directly impact the development of revolutionary robotics technologies, enabling us to deliver robust and reliable AI-powered solutions.
Responsibilities Include:
  • Data Collection and Organization: Collect, process, and input large volumes of data from diverse sources, including sensors, images, text, and audio, into internal systems.
  • Data Validation and Quality Control: Perform routine validation checks to identify and resolve errors, inconsistencies, or anomalies in datasets.
  • Collaboration Across Teams: Work closely with the robotics, AI, and engineering teams to align data collection efforts with specific project goals.
Requirements
  • Experience: 0 to 3 years in a similar role involving data collection, entry, or annotation.
  • Technical Skills: Familiarity with Python, Excel, SQL, and data management tools.
  • Attention to Detail: Strong ability to maintain data accuracy and identify inconsistencies.
What We Offer
  • A competitive salary of $65,000 - $85,000 per year, depending on experience.
  • A dynamic, fast-paced environment with opportunities for growth and skill development.
  • The chance to be part of a groundbreaking robotics startup shaping the future of AI technology.

This role requires a strong analytical mindset, excellent communication skills, and the ability to work in cross-functional teams. If you're passionate about data-driven innovation and eager to contribute to cutting-edge projects, we encourage you to apply.



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