Junior Data Analyst

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: Bachelor’s 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 analysis.Practical knowledge of Python or R for data manipulation (e.g., Pandas, NumPy).Experience with visualization tools like Tableau, Power BI, or Looker.Advanced Excel / Google Sheets skills (Pivot tables, VLOOKUP/XLOOKUP, complex formulas).Analytical Mindset: Strong problem-solving skills with a high degree of attention to detail when working with complex datasets.Communication: Ability to clearly translate data findings into actionable insights for non-technical team members.Work Authorization: Must be legally authorized to work in the United States.Nice-to-HavesFamiliarity with AI/ML concepts, data annotation workflows, or RLHF (Reinforcement Learning from Human Feedback).Prior experience or internship experience in an operations-focused analyst role.What We Offer100% Remote Flexibility: Work from anywhere in the US.Cutting-Edge Industry Exposure: Gain hands-on experience at the forefront of AI model training and evaluation.Growth Opportunities: Direct mentorship and opportunities to advance within a fast-growing tech environment.Competitive Compensation: Hourly/Salaried rate commensurate with experience.Please mention the word **AMICABLY** and tag RMmEwMTo0Zjg6MWMxODo4ODc5Ojox when applying to show you read the job post completely (#RMmEwMTo0Zjg6MWMxODo4ODc5Ojox). 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.