Data Operations Engineer

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Requirements:

• 2+ years of working experience in a Technical role.
• Bachelor’s Degree in Engineering, Computer Science, Data Science, or a technical field.
• Proficiency in Python scripting and experience automating operational tasks.
• Proficiency in SQL.
• Experience with Labelbox or similar data annotation platforms.
• Strong analytical and problem-solving skills.
• Experience with data pipelines and workflow management.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• English fluency.

Responsibilities:

• Build, deploy, and maintain Python scripts and tools to streamline data annotation.
• Identify bottlenecks in the data labeling pipeline and implement enhancement solutions.
• Collaborate with the quality assurance team to meet data accuracy standards.
• Integrate and manage third-party tools with Labelbox.
• Provide technical support to project managers and labelers.
• Set up monitoring tools to track performance and report metrics to leadership.