Generative AI Analyst - Turkish (Turkey)

Weloglobal

RemoteCareer-pivot friendly

Who this role is best for

Best suited to mid-level analysts with Turkish language skills and experience in multimedia data annotation, working remotely on a freelance basis.

Best fit for

Freelancers with a track record in multimedia data annotation and quality assurance.
— “several years of annotation and QA experience”
Detail-oriented professionals comfortable with high-volume structured tasks.
— “strong attention to detail, and comfort working with structured guidelines at high volume”
Turkish-speaking candidates able to follow strict labeling protocols.
— “annotate and review multimedia data accurately using defined labeling rules”

Things to consider

Freelance arrangement means no traditional employment benefits.
— “Employment Type: Freelance”

How to stand out

Document specific examples of improving annotation guidelines in past roles.
— “contribute to guideline improvements by documenting examples, failure modes, and recommended clarifications”
Quantify throughput metrics from previous annotation projects.
— “meet throughput and quality targets”
Prepare case studies of ambiguous labeling scenarios you've resolved.
— “flag ambiguous cases and edge scenarios with clear examples for resolution”

Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · IndividualLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

high-quality data labeling
consistent guideline application
reduced reviewer variance

Typical background

data annotationquality assurancemultimedia content review

Skills & requirements

Required

Data AnnotationQuality AssuranceMultimedia Data ReviewGuideline Adherence

Preferred

AI Model TrainingMultimedia Content Creation

Stack & domain

AnnotationQaMultimedia DataAttention To DetailCollaborationAIMultimedia

About the role

Original posting from Weloglobal via Lever

OVERVIEW
We are looking for Generative AI Analysts to support labeling and quality review across multimedia data (e.g., video, images, and related metadata). This role is best suited for candidates with several years of annotation and QA experience, strong attention to detail, and comfort working with structured guidelines at high volume.
MAIN DUTIES
Annotate and review multimedia data accurately using defined labeling rules (e.g., event tagging, temporal boundaries, object/entity attributes, consistency checks).
Follow detailed guidelines consistently; flag ambiguous cases and edge scenarios with clear examples for resolution.
Perform self-QA on completed work and correct errors before submission.
Participate in calibration sessions to align interpretation of guidelines and reduce reviewer-to-reviewer variance.
Track recurring issues and contribute to guideline improvements by documenting examples, failure modes, and recommended clarifications.
Support quality workflows (sampling, second-pass review, audits) and incorporate feedback into subsequent work.
Coordinate with internal stakeholders and external partners as needed to meet throughput and quality targets.
Project Details
Duration: Ongoing
Employment Type: Freelance
Location: Remote
Language: Turkish
By applying, you'll become part of our community, opening doors to a range of projects tailored to your skills and availability.
Joining us means contributing to our current project and becoming part of our dynamic network.
This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways.

Source: Weloglobal careers (Lever)