Remote Data QA Engineer - AI & Data Quality

Jobgether; México; Remote; MXN 550,000 - 750,000; Full time

Benefits offered by this job

35 days of paid holidays

Flexible, location-independent work

Global multicultural team

Open-source technologies

Autonomy and ownership

Collaborative environment

Job summary

Jobgether is seeking a Data QA Engineer based in Mexico to ensure data accuracy and quality across web data extraction projects and AI-assisted solutions.

You will translate customer requirements into QA criteria, perform exploratory and automated testing, and communicate results through reports and dashboards. The role emphasizes ownership, collaboration, and continuous improvement in a global team.

Qualifications

• 5+ years of QA or data testing experience.
• Python for data analysis using Pandas/Jupyter notebooks.
• SQL in at least one relational database environment.
• Strong understanding of HTML, XPath, JSON, HTTP, and CSS.
• Experience testing HTTP/REST APIs and validating responses.
• Knowledge of test design, data management, and exploratory/automated testing.
• Experience in Agile environments (Scrum/Kanban).
• Familiarity with AI/LLM tools to improve test case generation.
• Proactive, detail-oriented with ownership of project quality.

Responsibilities

• Translate customer data extraction and web scraping requirements into clear QA criteria and strategies.
• Perform exploratory, manual, visual testing and automated testing where valuable.
• Execute test cycles on datasets to validate against specs and identify defects.
• Document defects with steps and evidence to aid debugging.
• Apply statistics, data summaries, and visualizations to assess quality.
• Prepare reports and metrics communicating results to teams and customers.
• Define testing scope, untested areas, and associated risks for decisions.
• Collaborate with managers and clients to clarify requirements before QA.
• Contribute to QA automation frameworks with emphasis on coverage and performance.
• Identify improvements to QA processes and tooling including extensions and add-ons.
• Work independently while coordinating with QA leadership and developers.

Skills

Python

SQL

Data testing

Exploratory testing

English

Agile

LLM testing

Tools

Pandas

Jupyter

Scrapy

API testing tools

Job description

Jobgether is seeking a Data QA Engineer based in Mexico to ensure data accuracy and quality across web data extraction projects and AI-assisted solutions.

You will translate customer requirements into QA criteria, perform exploratory and automated testing, and communicate results through reports and dashboards. The role emphasizes ownership, collaboration, and continuous improvement in a global team.