About the Company

We are a fast-growing AI data annotation and labeling services company delivering high-quality training datasets for computer vision, NLP, and LLM models.

About the Role

We are looking for an energetic, detail-oriented Junior to Intermediate Data Analyst to join our team. In this role, you will help track annotation quality, build operational dashboards, audit dataset deliveries, and analyze labeller performance metrics.

Responsibilities

Dataset Auditing & Quality Control: Perform data quality checks, verify annotation outputs, and measure consensus/agreement scores across labeled datasets.
Dashboarding & Reporting: Build and maintain operational dashboards tracking annotation velocity, error rates, and project timelines.
Team Performance Analytics: Analyze individual and team labeller productivity metrics to identify training needs and quality bottlenecks.
Data Cleaning & Transformation: Use basic SQL and Python scripts to validate, reformat, and clean structured dataset outputs (JSON, CSV, XML) before client delivery.
Cross-Team Collaboration: Support project managers and quality leads with routine and ad-hoc data reporting.

Qualifications

Experience: 1–3 years of hands-on experience in data analysis, operations reporting, or QA analysis.
Technical Skills: Foundational knowledge of SQL and Python (Pandas) for data manipulation and auditing.
Visualization: Familiarity with BI tools (Excel, Power BI, Tableau, or Metabase).
ML Familiarity: Basic awareness of AI data formats (JSON, COCO, YOLO) or computer vision tasks (bounding boxes, polygons) is a strong bonus.
Soft Skills: High attention to detail, strong problem-solving skills, and clear communication.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.

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Data Analyst – AI