Project Manager, Applied AI

LILT (Production) · Remote · Global | Remote · Argentina (Remote) · Poland (Remote) · Mexico (Remote) · Taiwan (Remote) · United Arab Emirates (remote) ·
Fully remoteContractLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote
  • AI Data Operations
  • LLM Evaluation
  • Global Teams
  • $20/hour

You will orchestrate the operational side of AI development by managing large-scale data initiatives. Your focus includes overseeing multilingual data collection for audio, text, and image, as well as evaluating Large Language Models through RLHF and safety testing.

What you'll do

  • Manage full lifecycle of AI data projects from scoping to delivery
  • Oversee pipelines for multilingual data collection and LLM evaluation
  • Monitor KPIs including throughput, quality scores, and productivity
  • Conduct QA loops and root-cause analysis for quality issues
  • Maintain dashboards to visualize project health and bottlenecks
  • Coordinate with global data experts and crowd pools on SLAs
  • Translate technical requirements into guidelines for annotators

What you'll need

  • 3-5+ years in project management within AI/ML data operations
  • Strong understanding of LLM training processes like SFT and RLHF
  • Advanced proficiency in Excel or Google Sheets
  • Ability to write SQL queries for data extraction and analysis
  • Experience with Agile, Scrum, or Kanban methodologies
  • Skill in writing clear guidelines for multilingual audiences

Nice to have

  • Fluency in a second language
  • Experience with annotation platforms like Scale AI
  • Familiarity with Jira or similar project management tools
  • Background in ML Engineering, Computer Science, or Data Science

Stack

  • Excel
  • Google Sheets
  • SQL
  • Jira
  • Scale AI
  • Super Annotate

How you'll work

  • Fully remote position
  • Open to Europe, Asia-Pac, Argentina, and Mexico
  • Flexible schedule: work from anywhere, any time