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.
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: RemoteLanguage: 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.Qualifications
3+ years of experience in multimedia annotation, multimodal data labeling, computer vision labeling, content QA, or a closely related field.
Demonstrated ability to maintain high accuracy and consistency across repetitive, detail-oriented work.
Strong written and verbal communication in Turkish (to document issues clearly and ask precise questions).
Comfortable working with multimedia content for extended periods while maintaining focus and accuracy.
Experience working from structured guidelines and meeting productivity/quality expectations.
Welo Global, through its Welo Data brand, is a multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. The company delivers human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts at every stage from training through deployment. With a global network of 500,000+ vetted experts spanning 300+ languages and locales, Welo Data enables high-quality multilingual data creation and structured model evaluation across modern AI applications including large language models, voice and speech systems, agentic workflows, and robotics. The company addresses critical AI development challenges including safety, bias, inclusivity, and cross-lingual reliability through specialized program and quality expertise, supported by NIMO™, their proprietary identity and fraud-prevention framework.
