Role Overview
The Technical Project Manager role at Enterprise AI Translation Platform is a full-time remote position based in the USA within the Production department. This professional will steer large-scale multilingual data collection, human-in-the-loop workflows, and Large Language Model evaluation initiatives. This opportunity is suited for a technical expert who thrives at the intersection of AI development, operational workflows, and cross-functional team coordination.
Key Responsibilities
Manage Applied AI data collection and evaluation projects from initial technical scoping through validation, delivery, and retrospective review.
Translate technical AI requirements into structured data specifications, domain-specific annotation requirements, evaluation plans, and acceptance criteria.
Coordinate data collection and annotation for supervised fine-tuning, preference data used in reinforcement learning from human feedback, and model evaluation.
Partner with engineering teams to define and validate data workflows, including ingestion, annotation tooling, systems integrations, quality checks, data generation pipelines, and delivery.
Operationalize hybrid evaluation methodologies, combining human review with automated evaluation tooling and LLM-as-a-judge frameworks.
Use SQL and business intelligence tools to analyze throughput velocity, quality, unit economics, and supplier delivery performance.
Define and monitor quality standards, including inter-annotator agreement, gold-set performance, and dataset completeness.
Lead root-cause analysis on quality discrepancies, workflow bottlenecks, benchmark discrepancies, and quality edge cases.
Communicate project status, technical risks, tradeoffs, unit economics, and operational risks to technical and non-technical stakeholders.
Requirements
Bring 3 to 5+ years of technical project management experience in AI/ML, data platforms, or technical data operations.
Strong understanding of LLM training and evaluation concepts, including SFT, RLHF, human evaluation, automated evaluations, LLM-as-a-judge, and red teaming.
Proficiency in SQL for analyzing delivery velocity, data quality metrics, and cost structures.
Working knowledge of data pipelines, structured data formats, APIs, and validation processes.
Experience partnering with engineers to manage technical requirements, dependencies, and issue resolution.
Proven ability to track and optimize project unit economics and delivery velocity.
Strong communication skills, including the ability to translate technical requirements for multilingual audiences and diverse global contributor networks.
Experience managing complex workflows using Agile, Scrum, or Kanban.
Nice to Have
Experience using Python or scripting tools for data analysis, workflow automation, or evaluation scripting.
Experience managing high-skill Subject Matter Experts or specialized contributor networks across technical domains.
Experience with annotation platforms, automated evaluation tools, business intelligence tools, and Jira.
Experience delivering complex multilingual or multimodal data projects.
Background in computer science, data science, engineering, or equivalent practical experience.
Fluency in an additional language.
Skills and Tools
Python
SQL
LLM
Data pipelines
Agile, Scrum, or Kanban frameworks
Annotation platforms and business intelligence tools
About the Company
Lilt is changing how the world communicates by making global information accessible through cutting-edge AI, machine translation, and human-in-the-loop expertise. Founded by Stanford and Berkeley researchers who met at Google, the company builds brand-aware and agentic AI platforms trusted by Intel, Canva, the US Department of Defense, the US Air Force, ASICS, and hundreds of global enterprises. Backed by Sequoia, Intel Capital, and Redpoint, Lilt operates as a category-defining company in the global translation market.
How to Apply
To submit your application for this remote position, please visit the official company careers page on lilt.com.
