Remote Freelance Generative AI QA Analyst (Turkish)

Welo Global; United States; Remote; USD 5,700 - 8,100; Full time

Job summary

Welo Global is seeking a freelance Generative AI Analyst to label and QA multimedia data (video, images, metadata) with high attention to detail and consistent adherence to guidelines. The role emphasizes accuracy, calibration, and documentation in Turkish for issue resolution.

The position is remote and ongoing, suitable for candidates with years of annotation experience who can work under structured guidelines and meet quality targets.

Qualifications

• 3+ years of multimedia annotation, labeling, QA experience.
• Demonstrated ability to maintain high accuracy and consistency across repetitive, detail-oriented work.
• Strong written and verbal Turkish language skills to document issues clearly and ask precise questions.
• Comfortable working with multimedia content for extended periods while maintaining focus and accuracy.

Responsibilities

• Annotate and review multimedia data accurately using defined labeling rules.
• Follow detailed guidelines and flag ambiguous cases 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 and 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.

Skills

Multimedia annotation

Quality QA

Attention to detail

Turkish documentation

Job description

Welo Global is seeking a freelance Generative AI Analyst to label and QA multimedia data (video, images, metadata) with high attention to detail and consistent adherence to guidelines. The role emphasizes accuracy, calibration, and documentation in Turkish for issue resolution.

The position is remote and ongoing, suitable for candidates with years of annotation experience who can work under structured guidelines and meet quality targets.