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•401(k) matching
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•Flexible Hours
•Equity
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Uber
Globalization Learning & Assessment Specialist
1 week ago• Bangalore, India
Viewed on February 1, 2026
Apply on company site
About Us
Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.
- Size: 10000+ employees
- Industry: Technology
View Company Profile:
About the Role:
We are seeking an L&D and Assessment Specialist dedicated to Globalization programs, with a focus on translation and transcription workflows. This role is responsible for designing, developing, and maintaining training content and assessment frameworks used to onboard and certify linguists and transcriptionists on our platform.
The role sits at the intersection of linguistic quality, platform enablement, and operational scalability, ensuring that linguists and transcriptionists meet defined quality standards before participating in production work.
What the Candidate Will DO:
Learning & Development (L&D)
- Design and deliver structured onboarding and continuous learning programs for linguists and transcriptionists specializing in translation and transcription.
- Develop scalable training materials, including:
- Learning modules
- Style guides
- Workflow documentation
- Best practice guidelines for quality, consistency, and compliance
- Partner with Localization, Quality, Product, and Operations teams to ensure training content aligns with:
- Platform capabilities
- Client requirements
- Evolving linguistic quality standards
- Maintain and regularly update training materials to reflect changes in tools, processes, and language quality expectations.
- Track training completion and effectiveness using defined success metrics.
Linguist Assessment & Certification:
- Design, build, and maintain linguist onboarding assessments, including:
- Translation tests
- Transcription accuracy tests
- Language proficiency and domain knowledge evaluations
- Define scoring rubrics, pass/fail criteria, and quality thresholds aligned with production requirements.
- Ensure assessments fairly and accurately measure:
- Linguistic accuracy
- Fluency and style
- Terminology usage
- Audio comprehension (for transcription)
- Verbatim accuracy (for transcription)
- Timestamp accuracy (for transcription)
- Work closely with Quality and PgM Leads to validate assessment outcomes and continuously improve test reliability.
- Analyze assessment results to identify skill gaps and inform training improvements.
- Define assessment requirements with Ops / ML engineer who build assessment tools (GenAI Models)
Quality & Continuous Improvement:
-
Monitor post-onboarding performance data to validate assessment effectiveness.
-
Use feedback from audits, QA reviews, and production metrics to:
-
Refine assessments
-
Enhance training content
-
Support remediation and re-certification processes for linguists when quality gaps are identified.
-
Help standardize L&D and assessment processes across languages and programs.
-
What the Candidate Will Need
-
2+ years of experience in Learning & Development, Assessment Design, Localization, or a related field.
-
Hands-on experience with translation and/or transcription workflows.
-
Strong understanding of linguistic quality evaluation criteria.
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Experience designing assessments, tests, or certification programs.
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Ability to write clear, structured instructional and evaluation content.
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Experience working with linguists, language leads, or vendor teams.
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Strong analytical skills to interpret assessment results and quality data.
-
Excellent written communication skills.
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By signing up, you agree to our 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.
Client-provided location(s): Bangalore, India Job ID: Uber-152843Employment Type: FULL_TIMEPosted: 2026-01-23T00:31:34Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
Apply on company site
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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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