Python QA Lead - Remote
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Key skills for this role
About the Role
YO IT Consulting is seeking a Python QA Lead for a remote contract role. You will oversee quality and trainer performance on Python AI training projects, review AI-generated code, provide feedback, and maintain documentation.
Key Skills for This Role
Responsibilities
- Spot check Python items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues
- Review AI generated Python code, debugging responses, algorithms, backend snippets, automation scripts, tests, and explanations
- Update trainers/QAs on Discord about guidelines, workflow updates, and Python specific quality expectations
- Respond to questions around Python syntax, runtime behavior, exceptions, package usage, testing, typing, security, performance, and rubric interpretation
- DM inactive contributors, encourage activation, track follow ups, and flag availability issues
- Create and maintain Python documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials
- Run onboarding/training calls for Python contributors
- Flag misleading, non executable, insecure, inefficient, or non production ready Python recommendations
- Identify recurring quality gaps and improve Python QA workflows
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or equivalent professional experience
- Strong grasp of English language
- 3+ years of professional experience in Python development, backend engineering, automation, scripting, data workflows, code review, QA, teaching, or technical mentoring
- Strong understanding of Python fundamentals
- Ability to evaluate Python content against rubrics
- Familiarity with pytest, unittest, typing, mypy, pip, poetry, virtualenv, FastAPI, Flask, Django, requests, asyncio, pandas, SQLAlchemy, GitHub, Docker, and CI/CD preferred
- Experience leading or supporting remote teams of trainers, engineers, reviewers, annotators, educators, or QAs strongly preferred
- Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems
- Highly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation
- Experience with AI training, data annotation, LLM evaluation, code QA, or rubric based code review is a strong plus
Full Job Posting
About This Role
- In this hourly, remote contractor role, you will work as a Python Quality Assurance Lead to oversee quality, consistency, and trainer performance across Python AI training projects.
- You will review AI generated Python code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards.
- This role is a fast growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation model labs.
Your Profile
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or equivalent professional software engineering experience.
- Strong grasp of the English language to follow guidelines, communicate with teams, and provide clear technical feedback.
- 3+ years of professional experience in Python development, backend engineering, automation, scripting, data workflows, code review, QA, teaching, or technical mentoring.
- Strong understanding of Python fundamentals such as data structures, functions, classes, modules, exceptions, comprehensions, iterators, generators, decorators, context managers, virtual environments, packaging, and testing.
- Ability to evaluate Python content against rubrics and identify issues such as incorrect logic, non executable code, poor exception handling, inefficient algorithms, unsafe file/network operations, hallucinated APIs, or incomplete explanations.
- Familiarity with pytest, unittest, typing, mypy, pip, poetry, virtualenv, FastAPI, Flask, Django, requests, asyncio, pandas, SQLAlchemy, GitHub, Docker, and CI/CD is preferred.
- Experience leading or supporting remote teams of trainers, engineers, reviewers, annotators, educators, or QAs is strongly preferred.
- Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.
- Highly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation.
- Experience with AI training, data annotation, LLM evaluation, code QA, or rubric based code review is a strong plus.
Key Responsibilities
- Spot check Python items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
- Review AI generated Python code, debugging responses, algorithms, backend snippets, automation scripts, tests, and explanations.
- Update trainers/QAs on Discord about guidelines, workflow updates, and Python specific quality expectations.
- Respond to questions around Python syntax, runtime behavior, exceptions, package usage, testing, typing, security, performance, and rubric interpretation.
- DM inactive contributors, encourage activation, track follow ups, and flag availability issues.
- Create and maintain Python documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials.
- Run onboarding/training calls for Python contributors.
- Flag misleading, non executable, insecure, inefficient, or non production ready Python recommendations.
- Identify recurring quality gaps and improve Python QA workflows.
Compensation
- Hourly contract role.
Schedule
- Remote contract role.
Selection Process
- Selection process involves an AI interview, a domain specific task, and an interview with a recruiter.
- 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.
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