Polish Data Labeler
About The Position
Welo Data is seeking 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.
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)
- Candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston.
Nice To Haves
- Basic familiarity with AI, speech technology, or language data is a plus
Responsibilities
- Evaluate AI model outputs and provide structured, high-quality feedback
- Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
- Apply guidelines thoughtfully — and flag when they don't reflect real-world scenarios
- Contribute to improving evaluation frameworks, not just executing them
- Identify trends in model performance and communicate insights clearly
- Participate in team discussions, calibrations, and stakeholder syncs
- Partner with leads and cross-functional teams to refine quality standards
- Document findings in a clear, concise, and actionable way
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
