Project Perseus | Data Quality Analyst - Turkish Speakers (Human-in-the-Loop AI)

California

Actively hiring, first seen by us 3 days ago

Pay: USD 38/hour — pay source
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 38 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
Work setting: Working pattern needs review — work setting source
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
Read the full posting
Employment: Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting

Before you apply

Work authorization: Must already have the right to work in the US: Must be authorized to work in the US (no visa sponsorship)

Eligibility: 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. — eligibility source
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

What you’ll work on

Full posting

Audit DLA outputs and give structured, actionable feedback
Answer DLA questions and help them interpret guidelines
Support onboarding and training of new DLAs
Monitor workflows and queues, escalating risks to Team Leads
Identify patterns and edge cases in human and model outputs

From the employer’s posting

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

Education & alternatives

What We’re Looking For - Native-level Turkish language proficiency and a university degree (Bachelor’s or higher). - B2 or superior level of English.

Benefits in the posting

Full benefits wording

Paid Vacation: 6 days
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
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

From the employer’s posting.

Apply at Weloglobal

Posting record

Report an error

Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 1, 20263 days ago
Recorded sightings: 4
Last seen by us: Nov 4, 2026
Employer says posted: Apr 22, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 5 and day 57.

From 589 similar postings that came down. Coming down is not always a hire.

Weloglobal is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn

Your next step

Complete your application on jobs.lever.co. The employer’s form will show what is required.

Applying through Lever

No account needed: one form, and Lever reads your resume into the profile recruiters search.

Already applied? Track this application

About the role

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.

Job description

View original posting ↗

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

Job Title: Data Quality Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
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.

What You’ll Do

Support quality and execution across DLA teams, ensuring work meets defined standards at scale
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
Help DLAs navigate ambiguity and apply evolving instructions effectively
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
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way

What We’re Looking For

Native-level Turkish language proficiency and a university degree (Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation

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 Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Why This Role

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.

Salary

38 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)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Employment type

Full Time

Source details