Estonian Team Lead

SME Careers; United States; Remote; USD 34,000 - 48,000; Full time

Job summary

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, seeks an Estonian Quality Assurance Lead to oversee quality and trainer performance across Estonian AI training projects in a fully remote contractor role. You will review AI-generated Estonian content, evaluate against guidelines, provide precise feedback, and ensure contributors follow standards.

Strong Estonian and English, attention to detail, and structured communication are essential to coordinate across

Qualifications

• Bachelor’s or Master’s degree in Estonian, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant field.
• Native or near-native Estonian 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 Estonian writing, editing, translation, localization, content QA, AI training, education, annotation, or related language‑review workflows.
• Strong understanding of Estonian grammar, spelling conventions, punctuation, diacritics, case endings, compounds, word order, tone, register, and cultural context.
• Ability to evaluate Estonian content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect case usage, missing diacritics, 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.

Responsibilities

• Quality monitoring: Spot-check Estonian items, identify quality issues, provide ongoing feedback through DMs, and escalated 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 Estonian wording, grammar, case endings, compounds, register, translation fidelity, cultural context, 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 Estonian 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 Estonian‑specific style requirements.
• Quality alignment: Ensure all trainers and QAs apply Estonian 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 Estonian-language projects.

Skills

Estonian language proficiency

English language proficiency

Attention to detail

Structured communication

Education

Bachelor’s or Master’s degree in Estonian/linguistics/translation/communications/journalism/English/QA

Tools

Discord

Google Sheets

Google Docs

Trackers

Dashboards

Project management systems

Job description

In this hourly, remote contractor role, you will work as an Estonian Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Estonian AI training projects. You will review AI-generated Estonian 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.

You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Estonian and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Estonian quality leadership will directly help improve the world’s premier AI models by ensuring that Estonian training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Responsibilities

• Quality monitoring: Spot-check Estonian 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 Estonian wording, grammar, case endings, compounds, register, translation fidelity, cultural context, 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 Estonian 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 Estonian‑specific style requirements.
• Quality alignment: Ensure all trainers and QAs apply Estonian 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 Estonian-language projects.

Requirements

• Bachelor’s or Master’s degree in Estonian, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
• Native or near‑native Estonian 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 Estonian writing, editing, translation, localization, content QA, AI training, education, annotation, or related language‑review workflows.
• Strong understanding of Estonian grammar, spelling conventions, punctuation, diacritics, case endings, compounds, word order, tone, register, and cultural context.
• Ability to evaluate Estonian content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect case usage, missing diacritics, 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.