Work Hard EverywhereJob 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
We 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
- 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.
- 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 & Skills
- Education: 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...
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
We 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
- 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.
- 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 & Skills
- Education: 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...