Project Manager

Who you are

• If you thrive in a fast-paced environment where you can optimize workflows for productivity, quality, and throughput, we want to hear from you
• Experience: 3-5+ years of project management experience, specifically within AI/ML data operations
• LLM Knowledge: Strong understanding of LLM training processes (Pre-training, SFT, RLHF) and evaluation methodologies (Human-in-the-loop, red teaming)
• Data Proficiency: Advanced proficiency in Excel/Google Sheets; ability to write SQL queries to extract and analyze performance data
• Methodology: Proven track record using Agile, Scrum, or Kanban methodologies to manage complex workflows
• Communication: Exceptional ability to write clear, unambiguous guidelines for multilingual audiences
• Multilingual: Fluency in a second language is highly desirable
• Technical Tools: Experience with data annotation platforms (e.g. Scale AI, Super Annotate) and project management tools (e.g. Jira)
• Education: Background in ML Engineering, Computer Science, Data Science and Project Management training

What the job involves

• 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
• 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)
• KPI Tracking: rigorously monitor and report on key performance indicators, including:
• Throughput: Volume of data processed per hour/day
• Quality: Accuracy scores, Inter-Annotator Agreement (IAA), and gold-set performance
• Productivity: Cost-per-task and worker efficiency rates
• Quality Control: Run QA loops, root-cause analysis for quality dips, and corrective training for annotator pools
• Dashboards: Maintain dashboards to visualize project health and flag bottlenecks in real-time
• 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. Translate technical requirements into clear, actionable guidelines for non-technical annotators
• Feedback Loops: Facilitate continuous feedback loops where data insights drive updates to annotation guidelines and model fine-tuning strategies

Benefits

• Compensation: Meaningful equity, 401(k) matching, and flexible time off plus company holidays
• Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
• Paid parental leave is provided after 6 months
• Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle