Slovenian Team Lead

SME Careers; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

Joinkeywork is seeking a Slovenian Quality Assurance Lead (QAL) for an hourly remote contractor role to oversee quality across Slovenian AI training projects. You will review AI-generated Slovenian content and trainer/QA work, provide precise written feedback, and ensure adherence to project rubrics.

You will lead remote teams, communicate updates via Discord, and develop Slovenian project documentation, guidelines, and onboarding materials. Strong Slovenian and English skills are required.

Qualifications

• Bachelor’s or Master’s degree in Slovenian, linguistics, translation or related field.
• Native or near-native Slovenian with strong reading and writing skills and good English.
• 3+ years of professional experience in Slovenian language workflows and QA.

Responsibilities

• Quality monitoring: Spot-check Slovenian items, identify quality issues, provide ongoing feedback.
• Communicate updates to trainers and QAs on Discord about new item guidelines and project changes.
• Respond to trainer/QA questions clearly and promptly on Slovenian wording, grammar, case endings, diacritics and terminology.
• Activate inactive contributors, track availability, and flag issues when needed.
• Create and maintain Slovenian project documentation, including style guides and trackers.
• Onboard and train trainers and QAs to explain expectations and rubrics.
• Ensure Slovenian language guidelines are followed as projects evolve.
• Identify recurring quality gaps and propose workflow improvements.

Skills

Slovenian language proficiency

English language proficiency

Remote team leadership

Quality Assurance

Documentation

Education

Bachelor’s or Master’s degree in Slovenian/linguistics/translation

Tools

Discord

Google Sheets

Google Docs

Trackers

Project management systems

Job description

In this hourly, remote contractor role, you will work as a Slovenian Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Slovenian AI training projects. You will review AI-generated Slovenian 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 Slovenian 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 Slovenian quality leadership will directly help improve the world’s premier AI models by ensuring that Slovenian 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 Slovenian items, identify quality issues, provide ongoing feedback through DMs, and elevate 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 Slovenian wording, grammar, case endings, dual form, diacritics, 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 Slovenian 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 Slovenian-specific style requirements.
• Quality alignment: Ensure all trainers and QAs apply Slovenian 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 Slovenian-language projects.

Requirements

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