Flexible QA & Automation Engineer for AI Data Pipelines

Ngo Consulting Partners; United States; Remote; USD 41,000 - 69,000; Part time

Job summary

Ngo Consulting Partners is seeking an early-career QA engineer to help ensure the accuracy, consistency, and reliability of AI-driven systems. You will test pipelines, validate model outputs, and automate validation workflows within a small, fast-moving team.

Ideal candidates have 1–3 years in QA automation, Python scripting, and CI/CD familiarity, with a strong eye for detail and a collaborative mindset. This role offers flexible, part-time hours and remote work options in the United States.

Qualifications

• 1–3 years of QA automation, software testing, or software engineering experience.
• Working knowledge of Python or similar scripting languages.
• Familiarity with unit testing frameworks (PyTest, Unittest, Mocha/Jest).
• Basic understanding of CI/CD tools (GitHub Actions, Jenkins, CircleCI).
• Experience with Git and modern source-control workflows.
• Comfortable with JSON schemas, API validation, and data-driven testing.
• Experience leveraging AI tools to augment day-to-day tasks.
• Strong attention to detail and process adherence.
• Ability to thrive in small, fast-moving teams.

Responsibilities

• Test software pipelines and AI model outputs for accuracy, consistency, and stability.
• Develop and maintain automated validation scripts and regression test suites.
• Maintain and curate test datasets for broad coverage including edge and failure cases.
• Assist in defining and documenting test plans, acceptance criteria, and QA results with product and engineering teams.
• Collaborate on scripting and automation to streamline validation, deployment, or monitoring steps.

Skills

QA automation

Python

PyTest/Jest

CI/CD

Git

API validation

JSON schemas

AI tooling

Attention to detail

Tools

Docker

Job description

Ngo Consulting Partners is seeking an early-career QA engineer to help ensure the accuracy, consistency, and reliability of AI-driven systems. You will test pipelines, validate model outputs, and automate validation workflows within a small, fast-moving team.

Ideal candidates have 1–3 years in QA automation, Python scripting, and CI/CD familiarity, with a strong eye for detail and a collaborative mindset. This role offers flexible, part-time hours and remote work options in the United States.