Data Labeling Analyst Jobs in USA, TX, Austin | Rose International Job

Job Summary

Rose International is seeking a Data Labeling Analyst for a hybrid role in Austin, Texas. Work three days onsite in downtown Austin and two days remotely, supporting trust & safety operations for a leading tech client.

Key Responsibilities

• Perform high‑quality data annotation and labeling tasks, ensuring accuracy and consistency.
• Identify and flag graphic or objectionable content according to policy guidelines.
• Collaborate with cross‑functional teams to refine labeling guidelines and improve workflow efficiency.
• Analyze labeling metrics using Excel and basic SQL queries to generate performance reports.
• Participate in on‑call support, working 11 am–7 pm or 10 am–6 pm Central Time, 40 hours per week.

Required Qualifications

• Bachelor’s degree preferred.
• Minimum 5 years of experience in Trust & Safety, Online Operations, or related tech‑industry roles.
• Proficiency with Microsoft Excel and basic SQL for data analysis.
• Strong attention to detail and ability to work with potentially sensitive content.
• Excellent communication skills and ability to work both independently and in a team environment.

Benefits & Compensation

• Competitive salary range: $72,800 – $81,120 annually.
• Hybrid work model: 3 days onsite, 2 days remote.
• Professional development opportunities.
• Comprehensive health, dental, and vision plans.

How to Apply

Submit your resume and a brief cover letter highlighting your Trust & Safety experience through the Rose International careers portal.

Frequently Asked Questions

What is the work schedule for this Data Labeling Analyst position?

The role follows a hybrid schedule: three days onsite in downtown Austin and two days remote, with on‑call hours from 11 am–7 pm or 10 am–6 pm Central Time, totaling 40 hours per week.

Do I need a degree to apply?

A bachelor’s degree is preferred but not mandatory if you have the required 5+ years of Trust & Safety or online operations experience.

What technical skills are required?

Proficiency in Microsoft Excel and basic SQL knowledge for data analysis and reporting are essential.