Member of Engineering - Human Data

October 31, 2024

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Poolside

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Poolside is an accelerator specifically designed for web3 founders and builders. It provides support for projects in decentralized finance, gaming, governance, infrastructure, and NFTs. With a robust ecosystem of 20,000 members, including mentors, investors, and web3 builders, Poolside has co-launched and supported over 110 projects. The accelerator offers unique access to mentorship and technical expertise to help web3 projects scale and achieve successful launches. Poolside also engages with leading companies and protocols to drive growth and innovation in the web3 space.

Blockchain • Accelerator • Incubator • Hub • Fundraising

11 - 50 employees

🌐 Web 3

💳 Fintech

🎮 Gaming

📋 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