Junior Data Analyst

<p><strong>About HiredBuddy</strong></p><p>At <strong>HiredBuddy</strong>, 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.</p><p><strong>Position Overview</strong></p><p>We are seeking a detail-oriented, highly analytical <strong>Junior Data Analyst</strong> 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.</p><p>This is an ideal role for an early-career analyst passionate about the intersection of data, machine learning, and AI operations.</p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Data Quality Assurance:</strong> 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><strong>Performance &amp; Metrics Tracking:</strong> Analyze annotator accuracy, turnaround times, and throughput using SQL, Python, and BI dashboards to help optimize operations.</li><li><strong>Pipeline Optimization:</strong> Collaborate with cross-functional teams (Operations, AI Specialists, and Product) to identify bottlenecks in data labeling pipelines and recommend data-driven solutions.</li><li><strong>Reporting &amp; Dashboards:</strong> Build, maintain, and update daily/weekly operational reports and dashboards for internal stakeholders and client leads.</li><li><strong>Guideline Calibration:</strong> Analyze edge cases and error patterns in dataset outputs to help refine project annotation instructions and rubrics.</li></ul><p><strong>Qualifications &amp; Skills</strong></p><ul><li><strong>Education:</strong> Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, or a related quantitative field (or equivalent practical experience).</li><li><strong>Technical Skills:</strong></li><li>Proficiency with <strong>SQL</strong> for data querying, aggregation, and analysis.</li><li>Practical knowledge of <strong>Python</strong> or <strong>R</strong> for data manipulation (e.g., Pandas, NumPy).</li><li>Experience with visualization tools like <strong>Tableau, Power BI, or Looker</strong>.</li><li>Advanced Excel / Google Sheets skills (Pivot tables, VLOOKUP/XLOOKUP, complex formulas).</li><li><strong>Analytical Mindset:</strong> Strong problem-solving skills with a high degree of attention to detail when working with complex datasets.</li><li><strong>Communication:</strong> Ability to clearly translate data findings into actionable insights for non-technical team members.</li><li><strong>Work Authorization:</strong> Must be legally authorized to work in the United States.</li></ul><p><strong>Nice-to-Haves</strong></p><ul><li>Familiarity with <strong>AI/ML concepts</strong>, 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><p><strong>What We Offer</strong></p><ul><li><strong>100% Remote Flexibility:</strong> Work from anywhere in the US.</li><li><strong>Cutting-Edge Industry Exposure:</strong> Gain hands-on experience at the forefront of AI model training and evaluation.</li><li><strong>Growth Opportunities:</strong> Direct mentorship and opportunities to advance within a fast-growing tech environment.</li><li><strong>Competitive Compensation:</strong> Hourly/Salaried rate commensurate with experience.</li></ul><p><br></p><br/><br/>Please mention the word **AMICABLY** and tag RMTc4LjYzLjE4LjE3NA== when applying to show you read the job post completely (#RMTc4LjYzLjE4LjE3NA==). 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.