Back
Mid-level PM title, metro location, and broad cross-functional technical requirements intensify competition.
Requires AI data lifecycle and tooling expertise, so background transferability is moderately constrained.
Explicit 3–5+ years requirement and mandatory AI data platform and technical skills create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Manage end-to-end delivery of AI data services projects including planning, resource allocation, risk management, and quality control.
Configure, maintain, and troubleshoot AI data platform workflows, supporting operations and technical solutions teams as backup.
Develop process automations and generate reports and dashboards to optimize operations and provide insights to stakeholders.
3–5+ years project management experience in AI, data services, technology, localization, or related industries.
Experience managing distributed teams across multiple time zones.
Strong knowledge of AI data lifecycle including collection, annotation, validation, and human-in-the-loop workflows.
Proficiency with data platforms (e.g., SuperAnnotate, Labelbox), basic scripting (Python), Excel, reporting tools, and ability to troubleshoot technical platforms.
Experience working hands-on with AI data platforms and configuring data workflows independently.
Comfortable bridging technical and non-technical stakeholders, translating client needs into operational plans.
Has a technical background or experience supporting machine learning, AI training data, or GenAI evaluation projects, with focus on operational efficiency and scalability.