
11 - 50 employees
Founded 2018
🏥 Healthcare
👥 HR Tech
📋 Compliance
💰 $6.2M Series A - Lifted on 2021-06
Healthcare • HR Tech • Compliance
Lifted is a platform for health and social care providers that streamlines recruiting, onboarding, sponsorship and ongoing compliance. The product offers access to pre-screened care workers, automated background and right-to-work checks, digital training and audit-ready records, Certificate of Sponsorship and visa application support, and real-time compliance dashboards and alerts. It is built to help care employers hire, sponsor and stay audit-ready with embedded immigration and compliance workflows.
🔥 8 hours ago
🗣️🇫🇷 French Required
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2018
🏥 Healthcare
👥 HR Tech
📋 Compliance
💰 $6.2M Series A - Lifted on 2021-06
Healthcare • HR Tech • Compliance
Lifted is a platform for health and social care providers that streamlines recruiting, onboarding, sponsorship and ongoing compliance. The product offers access to pre-screened care workers, automated background and right-to-work checks, digital training and audit-ready records, Certificate of Sponsorship and visa application support, and real-time compliance dashboards and alerts. It is built to help care employers hire, sponsor and stay audit-ready with embedded immigration and compliance workflows.
• Support taxonomy operations by labeling and classifying job and resume data • Improve metadata quality and standardize job titles • Map occupations and validate structured data • Maintain accurate, consistent taxonomy data that supports large-scale AI and search systems • Follow established labeling guidelines and quality standards
• 3-5 years of experience • Native-level fluency in one of the following languages: English, or French. • Professional English communication skills for meetings, written feedback, Slack, and day-to-day collaboration. • Experience with taxonomy, metadata management, or content classification. • Experience with data labeling, annotation, or data validation. • Strong analytical skills, attention to detail, and pattern recognition. • Ability to follow detailed labeling guidelines and exercise sound judgment. • Experience reviewing high-volume datasets. • Experience supporting localization or multilingual content. • HR/job taxonomy knowledge • SQL or Excel/Google Sheets • Experience with LLMs/AI tools (e.g., ChatGPT, Gemini, Claude)
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