Labelbox

115 Total Employees
Year Founded: 2017

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Labelbox Work-Life Balance & Wellbeing

Updated on October 14, 2025

This page was generated by Built In using publicly available information and AI-based analysis of common questions about the company. It has not been reviewed or approved by the company.

What's the work-life balance like at Labelbox?

Strengths in flexible location, accessible time off, and a collaborative culture are accompanied by challenges from an extremely fast, high‑intensity pace and pockets of heavy workload. Together, these dynamics suggest a balance that is favorable when flexibility and autonomy are leveraged, but outcomes vary by role with occasional long days during high‑pressure periods.
Positive Themes About Labelbox
  • Remote or Hybrid Flexibility: Work model includes hybrid and remote options with asynchronous communication and autonomy, enabling people to choose where and how they work. Home-office support and flexible arrangements reinforce location and schedule control.
  • Time Off Access: Policies include unlimited PTO, paid holidays and sick time, company‑wide vacations, and generous parental leave. These benefits provide accessible time away to manage personal needs and recovery.
  • Supportive Culture: Teams are described as hard‑working, smart, and fun with few wasted meetings, fostering a collaborative environment. Clear vision, ownership, and craftsmanship expectations contribute to a positive day‑to‑day experience.
Considerations About Labelbox
  • Time Pressure: Pace is characterized as extremely fast with a high‑intensity environment that emphasizes rapid problem‑solving and impact over process. Significant individual ownership and quick decision‑making can compress timelines.
  • Workload or Staffing: Some roles experience extremely long days, and certain teams face higher pressure with many initiatives marked as high priority. Early‑stage startup dynamics and ambitious goals can concentrate workload on individuals.
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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.
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