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From 607 similar postings that came down. Coming down is not always a hire.
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
Salary 32 USD per hour Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.Read the full posting
Pay Rate: $38/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll DoRead the full posting
Employment type Full Time
Employment type in the employer’s posting: Full TimeFrom the employer’s posting
: Must be authorized to work in the US (no visa sponsorship)
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.Read the full posting
Audit DLA outputs and give structured, actionable feedback
Answer DLA questions and help interpret guidelines
Support onboarding and training of new DLAs
Monitor workflows, queues, and blockers, escalating risks to Team Leads
Identify patterns and edge cases in human and model outputs
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
What We’re Looking For - Native-level language proficiency and a university degree (Bachelor’s or higher). - B2 or superior level of English.
From the employer’s posting.
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 5 and day 57.
From 607 similar postings that came down. Coming down is not always a hire.
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We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
32 USD per hour
Full Time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
Salary 32 USD per hour Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
California
- Pay Rate: $38/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do
- Employment Type: W2 Full-Time Employee - Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) - Pay Rate: $38/hour
32 USD per hour Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here)