SME Careers is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies. They are seeking a Persian (Farsi) Quality Assurance Lead (QAL) to oversee quality and consistency across Persian/Farsi AI training projects, ensuring that the generated content meets high standards of accuracy, cultural appropriateness, and quality guidelines.
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