--- title: 'Data Quality Analyst (AI Model Data Analyst) at Focal Systems' canonical: 'https://feeny.ai/job/data-quality-analyst-ai-model-data-analyst-focal-systems-portugal-prpr919v3wqj' type: 'job' last_seen: '2026-09-05' --- # Data Quality Analyst (AI Model Data Analyst) at Focal Systems - **Company:** Focal Systems - **Location:** Portugal - **Work type:** remote - **Posted:** 2026-07-21 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/focalsystems/jobs/6121053004 ## Job description Data Quality Analyst (AI Model Data Analyst) Job Type: Full-time, Permanent Location: Portugal (1-2 days in office per week) Travel: Occasional international travel may be required. Salary: €16,000–€20,000 per annum Focal Systems is the industry leader in retail AI solutions. Our mission is to automate and optimize brick-and-mortar retail using deep-learning computer vision. Focal has been deployed at scale with the top retailers in the world. We are looking for smart, creative, and passionate people who love to learn, enjoy thinking critically, share our values, and want to build a great and enduring company. We have built the next-generation operating system for brick & mortar retail. This OS leverages shelf-mounted cameras that constantly measure the state of the retailers’ shelves and use that information to order quicker and smarter, planogram better, and schedule, direct, train, and manage their staff. We have proven this with major retailers around the world. Job Description The quality of our computer-vision models depends entirely on the quality of the data they learn from. We are seeking a dedicated Data Quality Analyst to clean, review, and curate the training data that powers our systems. In this role you will assume accountability for the accuracy and consistency of our datasets, directly improving how well our models detect products. Meticulous attention to detail, strong data-handling skills, and the ability to meet quality and speed Key Performance Indicators (KPIs) are essential. ## What You Will Be Doing - Review, clean, and correct labelled image and product data used to train our computer-vision models. - Identify and fix mislabelled, inconsistent, or low-quality data, and flag systematic errors in the labelling pipeline. - Conduct routine quality-assurance checks to catch data issues before they reach model training. - Onboard and scan products into the system, ensuring catalogue and reference data are accurate and complete. - Compare model predictions against ground truth to surface edge cases and areas where the model underperforms. - Work collaboratively with the machine-learning and operations teams to improve labelling guidelines and data standards. - Meet or exceed speed and quality Key Performance Indicators (KPIs) consistently. - Communicate effectively with supervisors and team members, providing updates on progress and raising any issues or challenges encountered. Requirements: - Strong attention to detail and a genuine care for data accuracy and consistency. - Comfort working with large volumes of data, spreadsheets, and data-review or annotation tools - Strong analytical and problem-solving skills, with the ability to spot patterns and root-cause data errors. - An interest in or exposure to machine learning, computer vision, or AI data pipelines is advantageous but not essential. - Time Management: ability to work well under pressure, meet deadlines, and ensure timely completion of assigned tasks. - Communication Skills: effective communication to liaise with supervisors, team members, and the ML team, providing updates and raising issues. - Ability to work independently and stay focused on repetitive, detail-heavy tasks for extended periods. ## Why Focal Systems - Strong Values and Mission — We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception. - Exceptional Team — We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art. - Outstanding Partners — We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors. ## What we offer We care deeply about the health, happiness, and wellbeing of all of our employees. We offer: - Paid Time Off - Pension - Sick Leave ## About Focal Systems ## Company Overview - **One-liner**: Focal Systems provides AI-powered computer vision solutions that give brick-and-mortar retailers real-time shelf visibility to optimize product availability, reduce waste, and automate store operations. - **Entity Type**: Private (Startup, funding stage not explicitly stated in sources) - **Headquarters**: San Francisco, California, USA - **Founded**: Not publicly available - **Founders**: Not publicly available ## Core Business - **Primary industry/industries**: Retail technology, computer vision, artificial intelligence, store operations automation - **Target customers**: B2B, large brick-and-mortar retailers globally - **Mission or purpose statement**: "To automate and optimize brick and mortar retail using computer vision" [greenhouse.io](https://boards.greenhouse.io/focalsystems) ## Products & Services - **Focal AI-Powered Shelf Cameras**: Hardware and software solution that continuously scans product availability on shelves, ensuring shelves are stocked and planograms are followed. Provides real-time aisle-level insights. - **Impact Dashboard**: A management dashboard for measuring and visualizing store performance, out-of-stock duration, sales recouped, task completion, compliance, and presentability. - **Action Tool**: An AI-driven operating system that automates task management, prioritizes restocking, and ensures the most critical tasks are completed first. Integrates with stock keeping, replenishment, ordering, staff management, labor planning, merchandising, and planogram compliance. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding — Not publicly available - **Notable Investors/Partners**: Works with "some of the largest retailers in the world" and has a "world-class roster of investors, advisors and partners" [greenhouse.io](https://boards.greenhouse.io/focalsystems). Named Confluent’s Inaugural Data Streaming Startup of the Year [focal.systems](https://focal.systems/). - **Growth Signals**: Deployed at scale with top global retailers; expanding globally with field operations roles in the UK; hiring across engineering, data science, and customer support roles in multiple countries (US, UK, Poland, Canada, Australia). ## Competitive Advantages - **Real-time, actionable AI**: Unlike many analytics-only solutions, Focal's system directly automates tasks and prioritizes work for store associates, bridging the gap from insight to action. - **End-to-end integration**: Covers shelf scanning, inventory management, labor planning, and planogram compliance in a single platform. - **Deep learning expertise**: The company describes itself as a "deep learning company" focused on retail, suggesting a proprietary computer vision stack. ## Strategic Focus - **Global expansion**: Active hiring in the UK, Poland, and other regions indicates a push into new markets. - **Product innovation**: Continuously pushing boundaries of AI and machine learning to develop new retail solutions. - **Customer success**: Emphasis on real-world impact metrics like reduced out-of-stock duration and improved workforce efficiency. ## Why Work Here - **Culture**: Described as mission-driven, collaborative, and ego-free. The company says "egos take a backseat to teamwork" [focal.systems](https://focal.systems/about-focal/). - **Work model**: Remote-friendly with roles listed as remote in the UK and Poland. A San Francisco headquarters exists with weekly lunches for HQ-based team members. - **Benefits**: - Market-benchmarked and transparent salaries - Medical, dental, and vision insurance (USA); supplemental medical coverage in Canada, Australia, and UK - Flexible time off with a minimum of three weeks per year - Paid company-wide shutdown the last week of the year - Learning and development stipends - Equity grants for all full-time team members (viewed as co-owners) - Offsites for team collaboration and strategic planning - **Growth**: Professional growth plans, stretch assignments, and the chance to learn from industry leaders. The company wants to "be an accelerant for your career." - **Team**: Global team of experts from top retailers, best-in-class software companies, and premier research institutions. ## Sources 1. [focal.systems](https://focal.systems/) 2. [focal.systems/about-focal](https://focal.systems/about-focal/) 3. [greenhouse.io](https://boards.greenhouse.io/focalsystems) 4. 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