Project Manager

Location: Global: Europe, Asia-Pac, Argentina, Mexico Department: Production (Applied AI) Reports to: Program Director Rate: $20 per hour We are looking for a data-driven Project Managers to lead our large-scale multilingual data collection and Large Language Model (LLM) evaluation initiatives. In this role, you will be the operational backbone of our AI development, orchestrating global teams of annotators and data specialists. If you thrive in a fast-paced environment where you can optimize workflows for productivity, quality, and throughput, we want to hear from you Key Responsibilities 1. Project Management End-to-End Delivery: Manage the full lifecycle of AI data projects, from scoping and guidelines creation to data delivery and post-mortem analysis. Pipeline Management: Oversee large-scale data pipelines for multilingual data collection (audio, text, image) and LLM evaluation (RLHF, SFT, ranking, and safety testing). 2. Quality Assurance & Performance Monitoring KPI Tracking: rigorously monitor and report on key performance indicators, including throughput, quality, and productivity metrics. Quality Control: Run QA loops, root-cause analysis for quality dips, and corrective training for annotator pools. Dashboards: Maintain dashboards to visualize project health in real-time. 3. Stakeholder Management Global Coordination: Manage relationships with data experts and crowd pools, ensuring adherence to SLAs regarding localized nuances and linguistic accuracy. Cross-Functional Collaboration: Liaise with Applied AI Technical Ops teams and translate requirements into actionable guidelines. Feedback Loops: Facilitate continuous feedback loops where data insights drive updates to annotation guidelines and model fine-tuning strategies. Qualifications Essential Skills & Experience: 3-5+ years of project management experience in AI/ML data operations; LLM knowledge; data proficiency with Excel/Google Sheets and SQL; experience with Agile methodologies; strong written communication for multilingual audiences. Preferred: multilingual, experience with annotation platforms (Scale AI, Super Annotate), Jira; education in ML/CS/Data Science. AI is changing how the world communicates — and LILT is leading that transformation.