Project Manager, Ai Data
Lilt Ai
- Buenos Aires
- Permanente
- Tiempo completo
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
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.
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.
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.
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.
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.
#J--Ljbffr
Buscojobs