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

First Roles; Boston (MA); On-site; USD 94,000 - 115,000; Full time

Benefits offered by this job

Paid Vacation

Company Holidays

Medical Insurance

Health Savings Account (HSA)

401(k) Retirement Plan

Employee Assistance Program

Free meals and snacks

Job summary

Welo Data is seeking a Data Quality Analyst (Turkish speakers) to join our onsite team in Boston. You will bridge Data Labeling Associates with Team Leads, auditing outputs and guiding others to apply guidelines accurately in fast-moving AI workflows.

Requirements include native Turkish proficiency, a Bachelor's degree or higher, and 2–4 years in data annotation or QA. The role emphasizes hands-on training, quality control, and collaboration across human and model processes.

Qualifications

• Turkish language proficiency (native level).
• Bachelor’s degree or higher.
• 2–4 years in data annotation or QA roles.
• Ability to interpret complex guidelines consistently.
• Experience with AI/ML data workflows.
• Auditing outputs and providing actionable feedback.
• Familiarity with safety/compliance content evaluation.

Responsibilities

• Support quality and execution across DLA teams, ensuring work meets defined standards.
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy.
• Act as the first line of support for DLAs and help interpret guidelines.
• Help DLAs navigate ambiguity and apply evolving instructions.
• Support onboarding and training of new DLAs through guidance and coaching.
• Monitor workflows, queues, and blockers; escalate risks to Team Leads.
• Identify patterns and edge cases in human and model outputs.
• Participate in calibrations, team discussions, and stakeholder syncs.
• Contribute to improving guidelines, processes, and team performance.
• Document findings and feedback clearly and concisely.

Skills

Turkish language proficiency

English proficiency

Attention to detail

Guidelines interpretation

Data annotation experience

AI/ML data workflows

Auditing others' work

Education

Bachelor's degree or higher

Job description

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

Welo Data

Boston, Massachusetts

$104,540 per year - estimated

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.

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.

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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

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