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Data Technician - Remote

Posted Yesterday
Data Analysis
Full Time
Worldwide

Overview

As a Data Technician at Maneva, you'll be responsible for monitoring, reporting, and providing correctional feedback on our AI systems' data quality and operational performance.

In Short

  • Monitor and report on AI systems' data quality and performance.
  • Ensure the integrity of machine learning datasets.
  • Monitor production applications for anomalies.
  • Bridge communication between engineering, annotators, and customer success teams.
  • Review edge cases in computer vision datasets.
  • Curate data for training processes for customer applications.
  • Work closely with annotators to improve data quality.
  • Collaborate with customer success teams for smooth operations.
  • Entry-level position suitable for diverse backgrounds.
  • Compensation reflects candidate's experience and skills.

Requirements

  • Ability to monitor and analyze data performance.
  • Understanding of machine learning datasets.
  • Experience or knowledge in quality assurance.
  • Familiarity with computer vision concepts.
  • Strong communication skills for team collaboration.
  • No university degree required; vocational training or self-taught skills accepted.

Benefits

  • Work in a cutting-edge AI environment.
  • Opportunity to grow with a startup.
  • Collaborate with a diverse team.
  • Gain experience in AI and manufacturing operations.
  • Entry-level compensation based on experience.

Maneva

Maneva

Maneva is an innovative startup founded by a former Google Deepmind researcher, dedicated to transforming manufacturing operations through advanced AI solutions. Specializing in autonomous factory operation and optimization, Maneva leverages existing hardware and vision systems to deliver impactful insights and actions that enhance product inspection, production efficiency, and safety. The company focuses on bridging the gap between manufacturing clients and cutting-edge AI technologies, aiming to address critical operational challenges and drive sustainable improvements in the industry.

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