Persian Team Lead

In this hourly, remote contractor position, you will serve as a Persian (Farsi) Quality Assurance Lead (QAL) responsible for overseeing quality, consistency, and trainer performance across Persian/Farsi AI training projects. Your role involves reviewing AI-generated Persian/Farsi content and trainer/QA outputs, evaluating them against project guidelines, and providing clear, written feedback. You will ensure all contributors adhere to established quality standards while maintaining accuracy, fluency, grammar, tone, cultural appropriateness, and formatting. This position requires strong bilingual skills in Persian/Farsi and English, exceptional attention to detail, and the ability to manage quality workflows within remote teams.

Key Responsibilities

- Conduct quality monitoring by spot-checking Persian/Farsi items, identifying issues, delivering ongoing feedback, and escalating critical or recurring problems.
- Communicate regularly with trainers and QAs via Discord to share updates on guidelines, project changes, workflow adjustments, and quality expectations.
- Address questions from trainers and QAs promptly, especially regarding Persian/Farsi wording, register, translation accuracy, cultural context, right-to-left formatting, script conventions, terminology, and edge cases.
- Manage activation of trainers and QAs by reaching out to inactive contributors, encouraging engagement, tracking follow-ups, and reporting availability concerns when necessary.
- Develop and maintain comprehensive Persian/Farsi project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
- Organize and lead onboarding and training sessions to clarify project expectations, workflows, rubrics, quality standards, and language-specific style and script requirements.
- Ensure consistent application of Persian/Farsi language guidelines among all trainers and QAs, keeping the team aligned with evolving project updates.
- Identify recurring quality gaps and propose improvements to workflows, contributing to the development of scalable QA processes for Persian/Farsi projects.

Required Qualifications

- Bachelor’s or Master’s degree in Persian, Farsi, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a related field.
- Native or near-native proficiency in Persian/Farsi with strong reading and writing skills.
- Strong command of English to accurately follow project guidelines, communicate with teams, and provide clear feedback.
- Minimum of three years’ professional experience in Persian/Farsi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
- Deep understanding of Persian/Farsi grammar, spelling, punctuation, tone, register, cultural context, script conventions, and right-to-left formatting.
- Familiarity with Iranian Persian/Farsi, formal versus conversational usage, literary versus modern registers, and relevant regional variations.
- Ability to assess Persian/Farsi content against detailed rubrics, identifying issues such as mistranslations, unnatural phrasing, incorrect tone or register, formatting errors, hallucinations, ambiguity, or inconsistent terminology.
- Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is highly preferred.
- Proficiency in remote collaboration tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- Exceptional organizational skills with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.

Preferred Qualifications and Benefits

Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM quality assurance is a strong advantage. This role offers the opportunity to contribute directly to improving leading AI models by ensuring that Persian-language training data is natural, accurate, culturally appropriate, and aligned with client expectations. You will join SME Careers, a rapidly growing AI Data Services company and subsidiary of SuperAnnotate, working remotely with a dynamic team supporting some of the world’s largest AI companies and foundation-model labs.

The selection process includes an AI interview, a domain-specific task, and a recruiter interview.