Manager, Production - Applied AI

What you'll do

• Manage PM performance, hiring, onboarding, development, and workforce capacity.
• Monitor program quality and delivery; address issues through QA, retraining, guideline updates, and remediation.
• Standardize playbooks and dashboards, improve processes and software, and coordinate escalations across teams.

What they ask for

• 5+ years in AI/ML data operations or production, including 2+ years managing project managers or team leads in a distributed, multi-time-zone contractor environment.
• Strong understanding of LLM training (pre-training, SFT, RLHF), evaluation methods, and annotation-workflow quality and throughput.
• Experience managing teams against throughput, quality, and cost-per-task targets; advanced spreadsheet and dashboard proficiency and ability to use SQL.
• Track record delivering on time and meeting acceptance targets across concurrent programs; experience managing contractor workforces and using Agile, Scrum, or Kanban.

Nice to have

• Fluency in multiple human languages; experience with multilingual data deliveries, especially rare-resource languages.
• Experience with data annotation platforms (e.g., Label Studio, SuperAnnotate) and project management tooling (e.g., Jira).

Pay

$110K – $145K (base salary)

Tools

SQL, Label Studio, SuperAnnotate, Jira

AI focus

Oversees production operations for AI/ML data programs, including LLM training and evaluation workflows, annotation quality, and multilingual data deliveries.