Senior Data Operations Analyst

Engai Solutions; United States; Remote; USD 23,000 - 34,000; Full time

Benefits offered by this job

Equity

Learning and conference allowance

Home-office stipend

Health benefits

Job summary

Engai Solutions seeks a data quality analyst to lead auditing across large ML annotation projects, spanning visual, 3D, and text data. You will develop sampling methods, build dashboards, and collaborate with researchers to improve annotation standards.

Role requires strong Python (Pandas/NumPy), SQL, and data visualization skills, plus experience with annotation methods such as bounding boxes and NER. Remote work option offered with India base.

Qualifications

• Three+ years in data analytics, data operations, or ML QA.
• Proficient Python with Pandas and NumPy; SQL experience.
• Experience with data visualization tools.
• Understanding of annotation methods (bbox, segmentation, NER, ranking).
• Strong analytical writing for distributed teams.

Responsibilities

• Develop sampling methods to assess annotation accuracy across complex datasets.
• Build dashboards that monitor annotator agreement, quality indicators, and labeling speed.
• Collaborate with research partners to turn benchmark failures into clearer annotation guidelines.
• Investigate disagreements and unusual cases to identify underlying causes.
• Prepare evidence-based quality reports and certification findings.

Skills

Python

Pandas

NumPy

SQL

Data visualization

Annotation methods (bbox, segmentation

NER & ranking

Analytical writing & communication

Tools

Tableau

Power BI

Job description

Role overview

Lead data quality analysis for large machine learning annotation projects spanning visual, 3D point-cloud, and text data. The work combines statistical auditing, operational monitoring, and collaboration with research teams to improve annotation standards and explain quality issues.

Responsibilities

• Develop sampling methods to assess annotation accuracy across complex datasets.
• Build dashboards that monitor annotator agreement, quality indicators, and labeling speed.
• Work with research partners to turn benchmark failures into clearer annotation guidelines.
• Investigate disagreements and unusual cases to identify underlying causes.
• Prepare evidence-based quality reports and certification findings.

Requirements

• At least three years in data analytics, data operations, or machine-learning quality assurance.
• Strong Python skills, including experience with Pandas and NumPy, plus SQL.
• Experience with data visualization tools.
• Understanding of annotation methods such as bounding boxes, polygon segmentation, named-entity recognition, and preference ranking.
• Clear analytical writing and communication skills for distributed, asynchronous work.

Benefits and work setup

• Full-time remote role based in India, with Bengaluru listed as a location option.
• Annual compensation listed at ₹22,00,000–₹32,00,000, plus equity.
• Learning and conference allowance, home-office stipend, and health benefits.