Quality Assurance Team Lead (Turkish)

You will lead quality review for Turkish AI training projects. The work includes checking AI-generated content and reviewer submissions, giving clear feedback, supporting contributors, and improving quality processes.

• Review Turkish AI training outputs and QA submissions for accuracy, fluency, grammar, spelling, tone, cultural fit, meaning, and formatting.
• Give written feedback and escalate recurring or serious quality issues.
• Share project updates and quality expectations with trainers and quality reviewers.
• Support contributor onboarding and training calls.
• Maintain style guides, trackers, FAQs, examples, honeypots, and onboarding materials for Turkish projects.
• Find workflow improvements and help build scalable Turkish-language QA processes.

This is a remote, part-time contractor role focused on Turkish content review, localization QA, translation quality, and evaluation of large language model outputs.

• Pay: $25 per hour.
• Time: 20+ hours per week.
• Location: Open to candidates in the United States.
• Languages: Fluent in Turkish with strong reading and writing ability; strong English skills for project communication and feedback.
• Experience: Background in Turkish writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review work.
• Language knowledge: Strong understanding of Turkish grammar, spelling, punctuation, vowel harmony, suffixation, agglutinative structures, tone, register, and cultural context.
• Tools: Comfortable using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Education: Bachelor’s or master’s degree in Turkish, linguistics, translation, communications, journalism, English, education, quality assurance, or a related field.
• Preferred: Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or quality reviewers.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that generate and understand text, images, audio, and code. People review examples, rate model responses, and prepare feedback so these systems improve, while language and subject experts help keep the results accurate and appropriate.