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Job offers found for Turkish

9 job offers found

Job offers found for Turkish

9 job offers found

New
Senior Turkish AI Quality Analyst

California, Washington, NYC, United States

Mandatory
Easy apply

New
Turkish Data Labelling Associates - NYC | CA | WA based

California, Washington, NYC, United States

Mandatory
Easy apply

New
Account Strategist, SMB Sales (Turkish)

Dublin, Ireland

Mandatory
Relocation package
imageHybrid

New
Account Executive, New Business Sales (Turkish)

Dublin, Ireland

Mandatory
Relocation package
imageHybrid

New
Account Manager, Large Customer Sales (Turkish)

Dublin, Ireland

Mandatory
Relocation package
imageHybrid

Turkish-Speaking Customer Experts for Singapore Airlines

Athens, Greece

Mandatory
Easy apply
Relocation package

Temporary Videogame Tester- Turkish

Madrid, Spain

Mandatory
Easy apply
Relocation package

Turkish speaking B2B Sales Representative

Athens, Greece

Mandatory
Easy apply
Relocation package

Digital Sales Representative with Turkish - English

Krakow, Poland

Mandatory
Relocation package
imageHybrid

Turkish speaking jobs in Europe. New jobs for Turkish speakers are published every day, so keep looking for the perfect position. You are a few clicks away from landing a Turkish job abroad - apply now! The wide variety of positions will allow you to find your next job with Turkish language quickly. Browse through dozens of attractive Turkish language jobs abroad and land your dream career.

Senior Turkish AI Quality Analyst

California, Washington, NYC, United States

Mandatory
English
Turkish
Be one of the first to apply
DESCRIPTION
The Bridge Between Human Judgment and AI Excellence — NYC | WA | CA

Are you an experienced QA professional who knows how to mentor others and maintain a high bar for data integrity? Welo Data is seeking Data Quality Analysts for Project Perseus.

This isn't just about labeling; you are the Quality Gatekeeper. You will bridge the gap between our Data Labeling Associates (DLAs) and Team Leads, ensuring that human feedback for cutting-edge Turkish AI models is not only accurate but world-class.

The Mission: Leading the Quality Loop
Human-to-Human Auditing: Audit the work of DLAs, providing structured, actionable feedback to drive team-wide improvement.
Tactical Support: Act as the first line of defense for the team—answering complex linguistic questions and interpreting evolving guidelines.
Onboarding & Coaching: Lead hands-on training for new associates, helping them navigate the nuances of Turkish dialects and AI safety.
Workflow Orchestration: Monitor queues and identify blockers, escalating risks to Team Leads before they impact the program.
Strategic Insights: Spot high-level patterns in both human and model behavior, contributing directly to the evolution of project guidelines.

Project Details
Employment Type: W2 Full-Time Employee
Hours: 40 hours/week
Location: NYC | WA | CA
Pay Rate: 38 $ (per hour)

What We’re Looking For
Experience: 2–4 years in data annotation, QA, content quality, or human-in-the-loop (HITL) workflows.
Linguistic Mastery: Native-level Turkish proficiency and a University Degree (Bachelor’s or higher).
English Fluency: B2 level or superior English to handle stakeholder syncs and technical reporting.
Leadership Instincts: Prior experience auditing or reviewing the work of others; you know how to coach without micromanaging.
Detail Obsession: A high bar for quality and the ability to stay consistent while guidelines shift in real-time.
Safety Mindset: Familiarity with safety, compliance, or policy-driven evaluation in a GenAI context.

Premium Campus Benefits
Gourmet Dining: Free breakfast, lunch, and dinner with a wide variety of cuisines.
Office Perks: Micro-kitchens stocked with premium coffee, La Croix, and healthy snacks.
Wellness & Security: Comprehensive Medical, Dental, and Vision + 401(k) and HSA eligibility.
Modern Campus: Access to rooftop nature parks and state-of-the-art collaborative workspaces.
Commuter Benefits: Free shuttles, transport perks, and bike-to-work support.

SKILLS
Data Analyst
Artificial Intelligence
Model Evaluation

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