LILT AI Logo

LILT AI

Project Manager, AI Data

Posted 2 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The Project Manager will oversee multilingual data projects, manage resources, ensure quality, and coordinate with stakeholders to optimize AI model evaluations.
The summary above was generated by AI
About the Role

We are looking for 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).

  • Resource Planning: Forecast capacity needs and manage the allocation of internal and external workforce (vendors, crowdsourced contributors) across multiple time zones and languages.

2. Quality Assurance & Performance Monitoring
  • 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: Implement robust QA loops, root-cause analysis for quality dips, and corrective training for annotator pools.

  • Dashboards: Build and maintain dashboards to visualize project health and flag bottlenecks 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. 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.

AI is changing how the world communicates — and LILT is leading that transformation.

LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.

Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

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 [email protected].

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.

Top Skills

Excel
Google Sheets
JIRA
Scale Ai
SQL
Super Annotate

Similar Jobs

11 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
81K-160K Annually
Senior level
81K-160K Annually
Senior level
Big Data • Cloud • Software • Database
The Senior Manager, HR Compliance is responsible for developing and executing a compliance framework across the Americas, managing immigration and global mobility programs, and ensuring adherence to applicable laws and regulations while fostering a culture of compliance within the organization.
12 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
17-17 Hourly
Entry level
17-17 Hourly
Entry level
Fintech • Information Technology • Machine Learning • Software • Analytics • Financial Services
As a Loan Processing Representative, you will process loan applications, handle customer inquiries, and ensure compliance with quality standards, primarily through phone communication.
Top Skills: Ai And Machine Learning
12 Minutes Ago
Remote or Hybrid
USA
210K-300K Annually
Senior level
210K-300K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Senior Director, AI Architecture & Engineering will strategize and lead the development of AI agents, drive enterprise workflows, and ensure scalable and secure solutions align with CrowdStrike's goals.
Top Skills: AIAWSAzureClaudeGCPOpenaiPythonSnowflakeVertex

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account