Project Manager, AI Data
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Job Location:
Buenos Aires - Argentina
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
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 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.
LILTs mission is to make the worlds 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 communityall 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 LILTs Privacy Policy 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
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individuals 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.
Required Experience:
IC
Key Skills
- SQL
- Data Collection
- GCP
- Master Data Management
- R
- Data Management
- Clinical Trials
- User Acceptance Testing
- Data Warehouse
- SAS
- Oracle
- Data Analysis Skills
About Company
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