At the forefront of driving business growth through data-driven insights, you will own the product backlog for growth-related analytics projects, defining and prioritizing the development of analytics solutions that empower strategic decision-making and optimize key performance metrics. You will work closely with analytics development teams and growth stakeholders to translate business needs into actionable analytics requirements and ensure the delivery of high-impact solutions.
The Product Analyst will join the team to conduct user behavior analysis, monitoring key product KPIs, perform feature performance evaluation, hypothesis support and validation, and build and maintain product dashboards. The analyst will work closely with UX/UI teams to improve the user experience based on insights.
You’ll collaborate with fellow expert trainers, quality analysts, and AI researchers—directly shaping how cutting‑edge AI understands and reasons in the field of Psychology. As an Expert, you’ll act as a subject‑matter “teacher” for the model by writing and solving problems in the domain of Psychology, designing rubrics, grading model outputs, and coaching the model to self‑evaluate and reason step‑by-step.
Shape the Future of AI — On Your Terms. As part of the Welocalize family, we partner with leading global companies to power inclusive, human-centred AI — built on high-quality language data. Whether you're a professional linguist or just passionate about how language and technology intersect, join our talent pool and be first in line for future task-based projects in areas like annotation, evaluation, and prompt creation.
Our client is hiring a Senior Data Analyst to join a small but impactful data team. This position goes far beyond dashboards—it's about uncovering meaningful insights that directly shape gameplay, guide product evolution, and influence decisions that affect millions of active players. Ideal for someone with a sharp analytical mind, strong business sense, and a passion for games.
Play a core role in helping to design and develop new database capabilities, including analytics, clustering, and distributed operations, query and storage optimizations, and more. Develop, test, and release new features and functionality from our database technical roadmap. Continually improve, optimize, and test the existing functionality of TimescaleDB.
Review pairs of inputs and AI-generated outputs, then assess the quality of those outputs based on accuracy, relevance, and clarity—following the project’s established guidelines. Your evaluations will directly support improvements to model performance and help shape the future of responsible AI development.