> Markdown version of [/jobs/ext/520301-ai-machine-learning-engineer-data-annotation](https://www.wearedevelopers.com/jobs/ext/520301-ai-machine-learning-engineer-data-annotation). 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). --- # AI Machine Learning Engineer - Data Annotation - **Company:** Insight Global - **Location:** Santa Clara, CA, United States - **Salary:** $135,200.0 - $208,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Computer Programming, Data Structures, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Software Engineering, Data Processing, Pytorch, Large Language Models, Deep Learning, Git, Pandas, Matplotlib, Scikit Learn, Information Technology, Software Version Control, Data Generation - **Published:** June 5, 2026 - **Apply:** https://dejobs.org/x/x/3BB8903DA62242A89AF5DC0F17517FD9/job/ ## About the Role * Bachelor's Degree in Computer Science or related field or equivalent experience. * Expertise as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions. * Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. * Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib. * Deep understanding of machine learning algorithms, statistical models, and data structures. * Familiarity with software development practices and version control systems (e.g., Git). * Ability to run with experimental design, A/B testing, and evaluation metrics for ML models. * Experience in data annotation platforms, synthetic data generation techniques and excellent data analysis skills. * First-hand experience deploying and maintaining deep learning systems and services in production at scale. * Demonstrated skills with large language models, natural language processing and multi-modal models. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)