About HiredBuddyAt HiredBuddy, we connect domain specialists and subject-matter experts with leading AI research labs to shape and train the next generation of artificial intelligence. We focus on high-quality data annotation, RLHF (Reinforcement Learning from Human Feedback), and model evaluation across various domains, ranging from STEM and software engineering to linguistics and data science.Position OverviewWe are seeking a detail-oriented, highly analytical Junior Data Analyst based in the United States to join our growing remote team. In this role, you will play a crucial part in monitoring dataset quality, analyzing annotator performance metrics, optimizing labeling pipelines, and delivering insights that improve our AI training data pipelines.This is an ideal role for an early-career analyst passionate about the intersection of data, machine learning, and AI operations.Key ResponsibilitiesData Quality Assurance: Audit, clean, and validate large datasets generated by our network of AI trainers and domain experts to ensure high precision and adherence to guidelines.Performance & Metrics Tracking: Analyze annotator accuracy, turnaround times, and throughput using SQL, Python, and BI dashboards to help optimize operations.Pipeline Optimization: Collaborate with cross-functional teams (Operations, AI Specialists, and Product) to identify bottlenecks in data labeling pipelines and recommend data-driven solutions.Reporting & Dashboards: Build, maintain, and update daily/weekly operational reports and dashboards for internal stakeholders and client leads.Guideline Calibration: Analyze edge cases and error patterns in dataset outputs to help refine project annotation instructions and rubrics.Qualifications & SkillsEducation: Bachelorâs degree in Data Analytics, Computer Science, Statistics, Information Systems, or a related quantitative field (or equivalent practical experience).Technical Skills:Proficiency with SQL for data querying, aggregation, and a