--- title: 'Data Collection Contributor at HumanSignal' canonical: 'https://feeny.ai/job/data-collection-contributor-humansignal-germany-jrngq3a1eevd' type: 'job' last_seen: '2026-09-08' --- # Data Collection Contributor at HumanSignal - **Company:** HumanSignal - **Location:** Germany - **Work type:** remote - **Posted:** 2026-03-12 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/humansignal/jobs/5823650004 ## Job description ## About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. (GERMANY BASED) AI Data Collector — Turn the World Into Your Workplace! Do you love scavenger hunts? Enjoy exploring the world around you? Want to get paid competitively while doing something fun, flexible, and impactful? We’re looking for curious, detail-oriented individuals to join us as AI Data Collectors. In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same. ## What You’ll Do As an AI Data Collector, you will: - Capture assigned images in real-world environments, following specific project guidelines. - Photograph objects, scenes, or activities across a wide range of settings, backgrounds, lighting conditions, and angles. - Travel locally to collect data in homes, offices, stores, parks, streets, or other everyday locations. - Follow detailed instructions to ensure image quality, variation, and accuracy. - Document your process when needed and upload collected data through provided tools. - Work independently, manage your time, and meet project deadlines. - Support the development and improvement of next-generation AI technologies. ## Who You Are You’ll thrive in this role if you: - Love exploring new places and noticing details others might miss - Are reliable, self-motivated, and comfortable working solo - Enjoy task-based, flexible work that changes from project to project - Have a smartphone or camera with solid image quality - Can follow instructions carefully and consistently ## Why You’ll Love This Role - Competitive pay - Flexible schedule — work when and where it fits your life - Perfect for people who enjoy movement, creativity, and variety - A chance to directly influence cutting-edge AI systems - No prior experience needed — just enthusiasm and a keen eye! If you’re ready for work that feels like a real-world scavenger hunt with real rewards, we’d love to have you work with us. Note: all data collections must be completed safely and lawfully. Never complete data collection in a way that would risk injury to you or others. Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal. Up to $14.30/hour ## About HumanSignal ## Company Overview - **One-liner**: HumanSignal provides an open-source and enterprise data labeling platform that enables AI teams to build high-quality datasets, evaluate models, and scale human judgment for machine learning. - **Entity Type**: Private (startup; $30M total funding raised from venture investors) - **Headquarters**: San Francisco, California, United States - **Founded**: 2019 - **Founders**: Not publicly named on the website, but described as a team of Data Scientists and ML Engineers who met on a Himalayan expedition. ## Core Business - Primary industry: Data labeling, AI training data, machine learning operations (MLOps), data-centric AI infrastructure. - Target customers: B2B – data science teams at enterprises, AI startups, and organizations building custom ML/AI models (e.g., Bombora, Zendesk, Outreach, Trivago, Wyze). - Mission: “To advance data-centric AI” and “help data scientists use data to teach ML/AI models how to make the best predictions.” ## Products & Services - **[Label Studio (Open Source)](https://humansignal.com/)**: The most popular open-source data labeling platform, used by over 1,000,000 AI practitioners. Supports annotation of text, images, audio, video, 3D sensor data, and more. Available as a community edition. - **[Label Studio Enterprise](https://humansignal.com/)**: A commercial SaaS/on-prem version with enhanced security, automation, quality review workflows, performance reporting, and integrations. Designed for production ML/AI teams. - **[Data Services (Human-in-the-Loop)](https://humansignal.com/)**: Managed labeling, evaluation, red teaming, fine-tuning, and custom benchmark creation. HumanSignal’s expert annotators and project managers partner with teams to deliver high-quality datasets. - **AI-assisted annotation & evaluation**: Tools for auto-labeling, LLM evaluation, RAG optimization, prompt engineering, and continuous model validation. ## Market Standing - **Valuation**: Not disclosed. - **Key Metric**: Total funding of **$30 million** (raised from proven investors as of 2025). - **Notable Investors**: Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures. - **Growth Signals**: - Headcount grew **83.7% YoY** to ~72 employees; operates in 18 countries. - Label Studio community: **250,000+ users** and **20,000+ GitHub stars**. - Over **100 million pieces of data** annotated by the community. - Acquired **Erud AI** in November 2025 to launch multimodal data services. - Label Studio Enterprise now available in AWS Marketplace (December 2025). - Customers include Bombora, Geberit, Outreach, Trivago, Zendesk, Wyze. ## Competitive Advantages - **Open-source dominance**: Label Studio is the most widely adopted open-source data labeling tool, giving HumanSignal a massive community, low barrier to entry, and built-in trust. - **Data-centric AI philosophy**: Differentiates by emphasizing domain experts and internal teams owning the labeling process, reducing bias, and integrating human judgment at scale. - **Flexible deployment**: Cloud or on-premises, with deep integration capabilities via APIs and agent skills. - **End-to-end services**: From labeling to evaluation, red teaming, and fine-tuning – a single vendor for the full human-in-the-loop pipeline. ## Strategic Focus - Continue expanding the Label Studio open-source ecosystem and enterprise adoption. - Grow multimodal data services (text, image, video, 3D, audio) – acquisition of Erud AI signals this priority. - Build internal data factories for customers who prefer to run their own labeling operations. - Strengthen integrations with major ML/AI platforms and cloud marketplaces (e.g., AWS). - Secure enterprise customers in regulated industries (on-prem capability). ## Why Work Here - **Remote-first culture**: Distributed team across North America, Europe, and South America; annual team offsites (virtual and in-person). - **Inclusive environment**: Emphasis on authenticity, diversity, and psychological safety. - **Competitive compensation**: Salary + equity ownership in a venture-backed startup. - **Time off**: Generous vacation package, recognition of local holidays. - **Growth opportunities**: Fast-growing company (83% headcount increase) with roles in Engineering, Data Services, and Operations. - **Impact**: Work on one of the most critical infrastructure layers for AI/ML, with a strong open-source community. - **Current openings (as of mid-2026)**: Senior Backend, Frontend, Full Stack Engineers (remote); Delivery Leads, AI Trainers, Operations roles. ## Sources 1. [humansignal.com](https://humansignal.com/) 2. [humansignal.com/about](https://humansignal.com/about/) 3. [humansignal.com/careers](https://humansignal.com/careers/) 4. [linkedin.com/company/humansignal](https://www.linkedin.com/company/humansignal) 5. 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