Persian (Farsi) Quality Assurance Lead (QAL)
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Key skills for this role
About the Role
SME Careers is looking for a Persian (Farsi) Quality Assurance Lead for an hourly, remote contractor role. You will oversee quality and trainer performance across Persian/Farsi AI training projects, review content, provide feedback, and maintain documentation.
Key Skills for This Role
Responsibilities
- Spot check Persian/Farsi items, identify quality issues, provide ongoing feedback, and escalate recurring or critical issues
- Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations
- Respond to trainer/QA questions clearly and promptly, especially around Persian/Farsi wording, register, translation fidelity, cultural context, RTL formatting, script conventions, and terminology
- DM contributors who are inactive or not working, encourage activation, track follow ups, and flag availability issues
- Create and maintain Persian/Farsi project documentation including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials
- Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Persian/Farsi specific style/script requirements
- Ensure all trainers and QAs apply Persian/Farsi language guidelines consistently and understand updates as projects evolve
- Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Persian/Farsi language projects
Requirements
- Bachelor's or Master's degree in Persian, Farsi, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or related field
- Native or near native Persian/Farsi proficiency with strong reading and writing skills
- Strong grasp of English to follow guidelines and communicate
- 3+ years of professional experience in Persian/Farsi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language review workflows
- Strong understanding of Persian/Farsi grammar, spelling, punctuation, tone, register, cultural context, Persian script conventions, and right to left formatting
- Ability to evaluate Persian/Farsi content against detailed rubrics
- Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred
- Comfortable using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems
- Highly detail oriented and organized
- Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric based LLM QA is a strong plus
Full Job Posting
Role Overview
- In this hourly, remote contractor role, you will work as a Persian (Farsi) Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Persian/Farsi AI training projects.
- You will review AI generated Persian/Farsi content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.
- This role is with SME Careers, a fast growing AI Data Services company and subsidiary of SuperAnnotate.
Key Responsibilities
- Quality monitoring: Spot check Persian/Farsi items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
- Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
- Question handling: Respond to trainer/QA questions clearly and promptly, especially around Persian/Farsi wording, register, translation fidelity, cultural context, RTL formatting, script conventions, terminology, and edge cases.
- Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow ups, and flag availability issues when needed.
- Documentation: Create and maintain Persian/Farsi project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
- Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Persian/Farsi specific style/script requirements.
- Quality alignment: Ensure all trainers and QAs apply Persian/Farsi language guidelines consistently and understand updates as projects evolve.
- Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Persian/Farsi language projects.
Your Profile
- Bachelor’s or Master’s degree in Persian, Farsi, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
- Native or near native Persian/Farsi proficiency with strong reading and writing skills.
- Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
- 3+ years of professional experience in Persian/Farsi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language review workflows.
- Strong understanding of Persian/Farsi grammar, spelling conventions, punctuation, tone, register, cultural context, Persian script conventions, and right to left formatting.
- Comfortable handling Iranian Persian/Farsi, formal vs conversational usage, literary vs modern register, and regional variation where relevant.
- Ability to evaluate Persian/Farsi content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect register, script/formatting problems, hallucinated claims, ambiguity, or inconsistent terminology.
- Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
- Comfortable working in fast moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- Highly detail oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
- Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric based LLM QA is a strong plus.
Selection Process
- Selection process involves an AI interview, a domain specific task, and an interview with a recruiter.
- There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise.
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