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About the Role
Welo Data is seeking detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This role is focused on building datasets that power real-world AI systems by working with audio, speech, and language data, ensuring models are trained on accurate, well-structured, and representative inputs. The position requires strong judgment, attention to detail, and consistency, operating at the intersection of language, data, and AI systems.
Responsibilities
- Execute high-volume data labeling and annotation tasks across speech and voice datasets
- Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
- Work with audio and language data, including transcription, categorization, and tagging
- Maintain strong throughput while meeting quality expectations
- Escalate unclear or ambiguous cases appropriately
- Adapt to evolving guidelines and workflows as systems and requirements change
- Support baseline data production needs for AI training pipelines
- Contribute to team calibrations and quality alignment sessions
Requirements
- Native-level fluency in Polish
- Strong written communication skills and language fundamentals
- 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
- Ability to follow detailed instructions and apply guidelines consistently
- High attention to detail and ability to maintain accuracy in repetitive tasks
- Comfort working in structured, process-driven environments
- Ability to manage time effectively and maintain steady output
- Willingness to ask questions and escalate when needed
- Must be authorized to work in the U.S. (no visa sponsorship)
Skills
- Basic familiarity with AI, speech technology, or language data is a plus
Location
- Onsite (Bay Area, Seattle, NYC, or client-dependent)
- NYC
- Seattle
- Bellevue
- Redmond
- San Francisco
- Sunnyvale
- Burlingame
- Austin
- Los Angeles
- Washington DC
- Chicago
- Boston
Work Type
- Full-time
- 40 hours per week
- W2 Full-Time Employee
- 100% onsite
Experience Level
- 1 year of work experience in data labeling, annotation, or content-focused work
Education Level
- Bachelor's degree or equivalent academic qualification in a related field
Salary/Compensations
- $26 - $28/hour
Benefits
- Paid Vacation: 6 days
- Paid Company Holidays: 2 days (Memorial Day and Labor Day)
- Paid Sick Leave: accrued per applicable state law and company policy
- Medical, Dental, and Vision Insurance (eligibility applies)
- Health Savings Account (HSA)
- 401(k) Retirement Plan
- Employee Assistance Program
- Additional voluntary benefits (life, accident, critical illness, etc.)
- Free breakfast, lunch, and dinner
- Stocked micro-kitchens with snacks and beverages
- Commuter benefits, including shuttles and bike-to-work options
- Unique campus features depending on location
About the Company
- Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
- This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
- While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
- We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.