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Project Manager, Applied AI

LiltUSAProduction
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
21 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Project Manager, Applied AI position at LILT is a remote, full-time role based in the USA within the production department. This opportunity suits an organized professional with a strong data background who wants to act as the operational backbone for advanced artificial intelligence development.

Key Responsibilities

Manage the complete lifecycle of artificial intelligence data projects, starting from initial scoping and guideline creation through to final data delivery and post-mortem analysis.
Oversee large-scale data pipelines dedicated to multilingual collection involving audio, text, and images, alongside large language model evaluation tasks such as RLHF, SFT, ranking, and safety testing.
Monitor and report on core performance indicators including throughput volume, quality metrics like accuracy scores and Inter-Annotator Agreement, and worker productivity efficiencies.
Execute quality control measures, perform root-cause analysis for drops in quality, and deliver corrective training for annotator teams.
Maintain visibility dashboards to track project health and highlight workflow bottlenecks immediately.
Coordinate relationships with global data experts and crowd pools to guarantee adherence to service level agreements concerning localized linguistic accuracy.
Partner alongside Applied AI technical operations teams to transform technical needs into clear guidelines for non-technical annotators.
Create continuous feedback loops where data insights directly influence updates to annotation guidelines and model fine-tuning strategies.

Requirements

Possess three to five or more years of project management experience centered within artificial intelligence and machine learning data operations.
Demonstrate a solid comprehension of large language model training methods covering pre-training, SFT, and RLHF, along with evaluation techniques like human-in-the-loop and red teaming.
Exhibit advanced proficiency utilizing Excel and Google Sheets, alongside the capability to write SQL queries to pull and evaluate performance metrics.
Apply proven frameworks using Agile, Scrum, or Kanban methodologies to organize intricate workflows.
Display exceptional writing skills to produce clear, unambiguous guidelines tailored for multilingual audiences.

Nice to Have

Fluency in a second language.
Prior use of data annotation tools like Scale AI or Super Annotate, and project management applications such as Jira.
Academic background or training in Machine Learning Engineering, Computer Science, Data Science, or Project Management.

Skills and Tools

SQL
LLM operations
Agile, Scrum, and Kanban methodologies
Excel and Google Sheets
Data annotation platforms and project management software

About the Company

LILT transforms how the world communicates by making global information accessible through artificial intelligence, machine translation, and human-in-the-loop expertise. Founded by Stanford and Berkeley researchers formerly from Google, the company operates as a machine learning enterprise building category-defining translation technology. LILT is backed by prominent investors including Sequoia, Intel Capital, and Redpoint, and serves hundreds of global enterprises alongside government organizations like the US Department of Defense and Air Force.

How to Apply

Candidates should visit the official company careers page to submit an application for this opportunity.

Skills and tech stack

LLMSQLMachine LearningFine-tuning

Questions candidates ask

Is this position remote?

Yes, this role is fully remote within the United States.

What level of experience is required?

The position requires five or more years of total experience, with three to five plus years specifically focused on project management within AI and ML data operations.

What technical data skills are needed?

Candidates must have advanced proficiency in Excel or Google Sheets and the ability to write SQL queries for performance data extraction and analysis.

What does the project management scope include?

The role covers end-to-end delivery of AI data projects, pipeline management for multilingual collection and LLM evaluation, KPI tracking, quality control, and cross-functional coordination.

Are there any preferred qualifications for applicants?

Preferred qualifications include fluency in a second language, familiarity with annotation and project management tools like Scale AI and Jira, and an educational background in computer science, data science, machine learning, or project management.

Ready to apply?

The application is on the official Lilt careers page.

Apply on company site