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 Responsibilities<ul><li>Data 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.</li><li>Performance & Metrics Tracking: Analyze annotator accuracy, turnaround times, and throughput using SQL, Python, and BI dashboards to help optimize operations.</li><li>Pipeline Optimization: Collaborate with cross-functional teams (Operations, AI Specialists, and Product) to identify bottlenecks in data labeling pipelines and recommend data-driven solutions.</li><li>Reporting & Dashboards: Build, maintain, and update daily/weekly operational reports and dashboards for internal stakeholders and client leads.</li><li>Guideline Calibration: Analyze edge cases and error patterns in dataset outputs to help refine project annotation instructions and rubrics.</li></ul>Qualifications & Skills<ul><li>Education: Bachelorâs degree in Data Analytics, Computer Science, Statistics, Information Systems, or a related quantitative field (or equivalent practical experience).</li><li>Technical Skills:</li><li>Proficiency with SQL for data querying, aggregation, and analysis.</li><li>Practical knowledge of Python or R for data manipulation (e.g., Pandas, NumPy).</li><li>Experience with visualization tools like Tableau, Power BI, or Looker.</li><li>Advanced Excel / Google Sheets skills (Pivot tables, VLOOKUP/XLOOKUP, complex formulas).</li><li>Analytical Mindset: Strong problem-solving skills with a high degree of attention to detail when working with complex datasets.</li><li>Communication: Ability to clearly translate data findings into actionable insights for non-technical team members.</li><li>Work Authorization: Must be legally authorized to work in the United States.</li></ul>Nice-to-Haves<ul><li>Familiarity with AI/ML concepts, data annotation workflows, or RLHF (Reinforcement Learning from Human Feedback).</li><li>Prior experience or internship experience in an operations-focused analyst role.</li></ul>What We Offer<ul><li>100% Remote Flexibility: Work from anywhere in the US.</li><li>Cutting-Edge Industry Exposure: Gain hands-on experience at the forefront of AI model training and evaluation.</li><li>Growth Opportunities: Direct mentorship and opportunities to advance within a fast-growing tech environment.</li><li>Competitive Compensation: Hourly/Salaried rate commensurate with experience.</li></ul> Please mention the word **AMICABLY** and tag ROTguOTEuMjM1LjIyMg== when applying to show you read the job post completely (#ROTguOTEuMjM1LjIyMg==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.