Remote Otter LogoRemoteOtter

Delivery Engineering Director - Remote

Posted 13 weeks ago
Project Management
Full Time
Worldwide

Overview

We are seeking a dynamic and results-driven Delivery Engineering Director with over 15 years of experience in managing large-scale delivery projects to oversee the successful execution of data annotation initiatives.

In Short

  • Lead and mentor a large team of annotators.
  • Collaborate with cross-functional teams to define project scope.
  • Ensure data integrity and optimize internal processes.
  • Analyze data sets to identify trends and provide insights.
  • Work closely with technical teams to optimize data annotation tools.
  • Foster a culture of continuous improvement.
  • Communicate effectively with stakeholders.
  • Develop strategies to motivate high-performing team members.
  • Maintain rigorous quality standards in data annotation.
  • Stay informed of industry trends in AI and machine learning.

Requirements

  • 15+ years of experience in project delivery.
  • Bachelor’s degree in a relevant field.
  • Proven leadership experience managing large teams.
  • Deep technical expertise in AI and machine learning.
  • Proficiency in Python for data analysis.
  • Strong mathematical skills.
  • Experience in data curation and quality control.
  • Excellent communication skills.
  • Detail-oriented with a focus on quality.
  • Passionate about AI and data integrity.

Benefits

  • Amazing work culture with a collaborative environment.
  • Competitive compensation.
  • Flexible working hours.
  • Full-time remote opportunity.
  • Opportunity to work with top talent from leading tech companies.

Turing

Turing

Turing is a dynamic and innovative startup focused on enhancing the vetting and evaluation processes for candidates in the tech industry. The company is dedicated to building robust systems that streamline operations and ensure the quality of its large language model (LLM) delivery pipeline. With a strong emphasis on full-stack development, Turing fosters a collaborative environment where engineers work closely with product managers, data scientists, and human operations teams to create impactful solutions. The fast-paced nature of the startup allows team members to take on diverse roles and drive initiatives that significantly influence product and business outcomes.

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