SME Careers ยท 2 weeks ago
ML Technical Quality Assurance Lead
United States
Contract
Remote
Senior Level
$125K/yr - $250K/yrSME Careers is seeking a ML Technical Quality Assurance Lead to ensure high standards in AI data training projects. This role involves reviewing technical quality, managing communication, and providing documentation and training to maintain the quality of machine learning systems.
Computer Software
Responsibilities
Technical quality review: Review Python/ML tasks and code submissions (scripts, notebooks, experiments) for correctness, clarity, model design, and alignment with project guidelines; provide clear and constructive feedback and escalate critical issues when needed
Communication: Keep trainers and QAs updated on Discord about new items, ML-related clarifications, or project changes, and respond to their technical and process questions in a timely and professional manner
Activation management: Monitor trainer/QA activity and proactively communicate with inactive contributors to understand blockers and encourage re-engagement
Documentation: Create, maintain, and improve technical documentation such as ML coding guidelines, experiment checklists, best-practice examples, trackers, FAQs, honeypots, and related documents
Onboarding & training: Schedule, organize, and run onboarding and training calls with trainers/QAs to walk them through ML quality standards, common issues, and review expectations
Qualification
Required
Experience in reviewing Python/ML tasks and code submissions for correctness, clarity, model design, and alignment with project guidelines
Ability to provide clear and constructive feedback and escalate critical issues when needed
Strong communication skills to keep trainers and QAs updated on Discord about new items, ML-related clarifications, or project changes
Proactive in monitoring trainer/QA activity and communicating with inactive contributors to understand blockers and encourage re-engagement
Experience in creating, maintaining, and improving technical documentation such as ML coding guidelines, experiment checklists, best-practice examples, trackers, FAQs, and related documents
Experience in scheduling, organizing, and running onboarding and training calls with trainers/QAs
Company
SME Careers
SME Careers by SuperAnnotate connects subject-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact-checking, and content review.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase