Jobs
Benefits & Perks
•Learning and development stipend
•Health, dental, and vision coverage
•Top Tier compensation with equity
•Annual team offsites
•Remote work flexibility
Required Skills
Python
SQL
Airflow
About the role and team
You will anchor the quality of Uber's global voice, ensuring our products, content, and data resonate accurately across all markets, starting with Spanish and the Lat Am region. This involves navigating the complexity of scaling linguistic accuracy for high-stakes products like Uber Rides, Uber Eats, and emerging AI solutions. The challenge isn't just translation; it's defining and upholding the global quality standard in a high-speed environment where ambiguity and technical debt are daily realities. This role is vital because poorly localized content directly impacts the experience of millions of riders, earners, and customers worldwide, making you a critical partner in our "Trip obsessed" mission.
You will step in to lead quality programs, often solving systemic issues that lack a clear, existing playbook. This requires sharp judgment, cross-functional influence with engineering, product, and AI teams, and the resilience to drive continuous improvement in complex, evolving systems.If you are driven by the ambition to turn complex technical requirements into a simple, high-quality user experience at global scale, you will find immense purpose here.
What you'll do
- *Define the linguistic quality strategy and standards for localization projects, ensuring consistency across Uber's core products and content used for Machine Learning/AI applications.
- *Navigate vendor performance, managing external partners and freelancers from a growing Gig Marketplace to ensure high-quality, timely, and cost-effective delivery of localized assets.
- *Conduct root cause analysis on recurring quality issues found across our apps and websites, translating data trends into actionable and preventative solutions for cross-functional partners.
- *Influence and build strong alignment with senior stakeholders in Product, Engineering, Marketing, and Operations to secure resources and drive adoption of quality management tools and systems.
- *Own end-to-end quality programs, from scoping projects to reviewing product requirement documents (PRDs/RFCs) to implement automation and tool improvements.
- *Evangelize the value of globalization and quality services, championing best practices across the organization to ensure localization is a strategic, integrated consideration from product inception.
Basic qualifications
- Bachelor's degree in Translation, Linguistics, or a related technical field.
- 5+ years of experience in localization program or quality management, preferably within the technology industry.
- 3+ years of experience managing external vendors, agencies, or crowdsourced models to deliver on quality metrics.
- Proficiency in utilizing data analysis tools (e.g., SQL, Excel/Google Sheets) to identify quality trends, measure impact, and drive quantifiable business decisions.
- Demonstrated experience using Computer-Assisted Translation (CAT) tools and managing linguistic assets like Translation Memories and Glossaries.
Preferred qualifications
- Experience with linguistic data annotation and transcription for Machine Learning or AI applications.
- Strong knowledge of Generative AI principles and how they intersect with localization and language quality.
- Professional fluency in Spanish, due to the role's location and regional focus.
- Experience reviewing product requirement documents or technical specifications to influence system design and automation.
- Ability to work effectively in a high-ambiguity, fast-moving environment with shifting priorities and complex systems.
Ready to ride?
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves, this is the place for you. What moves us, moves the world - let's move it forward, together.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Learn more at https://www.uber.com/careers/benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least Tuesday, Wednesday, Thursday in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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