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Junior Data Analyst - Data Quality Assurance and Pipeline Optimization

hiredbuddy • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Join HiredBuddy as a detail-oriented Junior Data Analyst to monitor dataset quality, analyze annotator performance metrics, and optimize data labeling pipelines for AI training. You'll work with SQL, Python, and BI tools to build dashboards, track metrics, and identify operational bottlenecks. Must have a bachelor's degree in quantitative field and strong analytical skills with US work authorization.

Key Highlights
Data quality assurance and dataset validation
Performance metrics tracking using SQL and Python
Pipeline optimization for data labeling workflows
Dashboard creation for internal and client stakeholders
Key Responsibilities
Audit, clean, and validate large datasets to ensure high precision and adherence to guidelines
Analyze annotator accuracy, turnaround times, and throughput using SQL, Python, and BI dashboards
Collaborate with cross-functional teams to identify bottlenecks in data labeling pipelines and recommend data-driven solutions
Build, maintain, and update daily/weekly operational reports and dashboards for internal stakeholders and client leads
Analyze edge cases and error patterns to refine project annotation instructions and rubrics
Technical Skills Required
SQL Python Data visualization
Benefits & Perks
100% Remote Flexibility
Cutting-Edge Industry Exposure
Competitive Compensation
Nice to Have
Familiarity with AI/ML concepts, data annotation workflows, or RLHF
Prior experience or internship experience in an operations-focused analyst role

Job Description

About HiredBuddy

At 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 Overview

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