About this role
In this hourly, remote contractor role, you will work as a Python (ML-Focused) Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Python machine learning AI training projects. You will review AI-generated Python code, ML workflows, model explanations, and trainer/QA work; evaluate output quality against project guidelines; provide precise written feedback; and ensure contributors follow expected quality standards.
You will assess work for code correctness, machine learning methodology, statistical validity, reproducibility, model-evaluation quality, data leakage risks, package usage, debugging accuracy, readability, maintainability, formatting, instruction-following, and adherence to project-specific rubrics. This role requires strong Python and ML expertise, English communication skills, excellent attention to detail, and the ability to manage quality workflows across remote technical teams.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Python ML quality leadership will help ensure training data is accurate, executable, statistically sound, reproducible, clearly explained, and aligned with client expectations.
Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.
Important
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.