Member of Engineering - Human Data

October 31

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Poolside

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Description

• In this decade, the world will create artificial intelligence that reaches human level intelligence • poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress • At poolside we believe our applied research needs to culminate in products that are put in the hands of people • We focus on building for a developer-led increasingly AI-assisted world. • We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. • We envision a future where not 100 million people can build software but 2 billion people can. • We are a remote-first team that sits across Europe and North America • As a Member of Engineering (Human Data), you will lead the development and management of high-quality data labeling pipelines that support our large language models • This role involves building an internal labeling team, working closely with vendors, and designing scalable processes for data annotation.

Requirements

• Experience with designing and managing data labeling processes, with a strong emphasis on crowdsourcing solutions • 2+ years of experience in a technical role such as Data Engineer, Data Scientist, Technical Project Manager, or similar, ideally in machine learning/data-focused environments • Familiarity with managing vendors and crowdsourcing platforms to handle large-scale data labeling efforts • Strong understanding of data quality metrics such as accuracy, precision, recall, and F1 score • Proven ability to develop complex pipelines with multiple stages, particularly for data annotation and machine learning training • Experience with cloud platforms and tools such as AWS, GCP, Kubernetes, and CI/CD systems is a plus • Ability to collaborate with technical teams and ensure labeling processes align with overall model development needs • Mandatory experience with crowdsourcing platforms (e.g., ScaleAI, Toloka, or similar) for data labeling • Strong problem-solving skills and ability to work independently in a fast-paced environment

Benefits

• Fully remote work & flexible hours • 37 days/year of vacation & holidays • Health insurance allowance for you and dependents • Company-provided equipment • Wellbeing, always-be-learning and home office allowances • Frequent team get togethers • Great diverse & inclusive people-first culture