Project Manager, Applied AI

Job Description

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

• 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.
• KPI Tracking: rigorously monitor and report on key performance indicators, including:

1. Throughput: Volume of data processed per hour/day.
2. Quality: Accuracy scores, Inter-Annotator Agreement (IAA), and gold-set performance.
3. Productivity: Cost-per-task and worker efficiency rates.

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. 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.

Qualifications

Essential Skills & Experience

• 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.

Preferred Qualifications (Nice to Haves)

• 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.

Compensation

US Tier 1 (SF Bay Area, NYC, Seattle) $130K – $163K • Offers Equity

US Tier 2 (Boston, DC, LA, Chicago, Austin, Denver & others) $112K – $140K • Offers Equity

US Tier 3 (all other US locations) $104K – $130K • Offers Equity

Our Story

Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.

LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.

With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.

Our Tech

What sets our platform apart:

• Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
• Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
• 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
• Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.