> Markdown version of [/jobs/ext/2697430-software-engineer-perception-attributes-autolabeling-pipeline](https://www.wearedevelopers.com/jobs/ext/2697430-software-engineer-perception-attributes-autolabeling-pipeline). 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). --- # Software Engineer, Perception Attributes Autolabeling Pipeline - **Company:** Manpower - **Location:** San Mateo, CA, United States - **Salary:** $172,640.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Infrastructure, Data Systems, Monitoring of Systems, Parsing, Systems Integration, Data Pipelines - **Published:** September 3, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3375511172&tx=HT7872THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Experience in building and maintaining reliable data pipelines and systems. * Proficiency in integrating with APIs and handling structured data formats. * Strong problem-solving skills and attention to detail. * Ability to collaborate effectively with cross-functional teams, including ML engineers and data infrastructure teams. * Knowledge of observability practices and tools for monitoring system performance. ## Description * Build and operate the autolabeling pipeline that accelerates human annotation throughput on vehicle attribute classification tasks. * Ingest queued tasks from the annotator service and dispatch them to foundation-model APIs such as Gemini and others. * Parse structured outputs from models and write pre-labels back into the labeling workflow. * Develop observability tools to monitor task latency, model costs, attribute coverage, and error modes. * Run experiments designed by the team lead, set up inputs, execute, and analyze outputs for continuous improvement. ## Related Videos - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) ## Related Articles - [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 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)