> Markdown version of [/jobs/ext/2587930-machine-learning-data-ops-qa](https://www.wearedevelopers.com/jobs/ext/2587930-machine-learning-data-ops-qa). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Data Ops QA - **Company:** Apple Inc. - **Location:** Cupertino, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** HTML, JavaScript (Programming Language), Cascading Style Sheets (CSS), Python (Programming Language), Machine Learning, Language Modeling, DataOps, Statistical Process Control (SPC), Software Quality Assurance (SQA), Data Processing, Large Language Models, Data Pipelines - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/194601a0-687c-4ccf-8a05-bd7cf7105ba4 ## About the Role Bachelor's degree, or equivalent practical experience. 4+ years of experience in ML data operations, data quality, or a comparable data-centric quality function. Working proficiency in Python for data manipulation and reporting. Hands-on experience using AI coding assistants to build working QA tools or analysis. Strong written and verbal communication skills. Preferred Qualifications Experience designing labeling taxonomies or annotation guidelines and adjudicating ambiguous cases with vendors. Experience leading internal or external quality analysts and designing or running human rating and evaluation programs, including rater calibration, gold sets, and ongoing quality monitoring. Familiarity with statistical quality methods, including sampling strategy, inter-rater agreement, acceptance rates, and error magnitude and confidence analysis. Experience designing and iterating on prompts for quality checks assisted by large language models (LLMs) or vision language models (VLMs). Experience building internal QA tooling end to end, such as a review interface, a data pipeline, or a browser-based dashboard (HTML, CSS, JavaScript). Excellent attention to detail with a passion for problem solving, investigation, and root cause analysis. Strong critical thinking, with the judgment to question assumptions and validate a quality signal before relying on it. Excellent project management, analytical, and organizational skills, with the ability to manage several projects in parallel in a dynamic environment with shifting priorities. ## Description The Machine Learning Data Ops QA team ensures that Research and Development teams receive complete, accurate, and consistent datasets to train the models powering continuous feature development. We support our data collection, annotation and synthesis partners with defining quality standards and verifying that data deliverables meet this high quality bar before they are consumed by R&D teams. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Let’s Talk Quality!](https://www.wearedevelopers.com/videos/100012-let-s-talk-quality) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. Grogg](https://www.wearedevelopers.com/videos/1806-nolojs-avoiding-javascript-cruft-with-html-and-css-aaron-t-grogg) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)