Hungarian Quality Assurance Lead — Remote, 20+ hrs/wk

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help contributors discover projects, build a unified AI-training portfolio, and grow into durable freelance careers in a fast-growing industry.

OpenTrain is the hiring organization for this role. As part of our community you’ll work on real AI-training workflows, shape how models learn from human examples, and help raise quality standards across Hungarian-language tasks.

About AI training work

AI training (data labeling, annotation, and human-feedback work) is the human side of how modern AI systems learn. Contributors annotate text, rate outputs, review model behavior, and create examples that teach models to be more accurate, safe, and culturally appropriate.

This work is often 100% remote, highly flexible, and accessible — many projects need language skills, attention to detail, and judgment rather than prior tech experience. Specialist roles that require language or domain expertise pay more and have leadership opportunities like this QA lead role.

The role

We are hiring a Hungarian Quality Assurance Lead to review Hungarian AI training content and trainer QA work. You will evaluate text outputs against detailed rubrics, provide precise written feedback, maintain style resources, and support trainers and QAs to improve consistency and quality.

This is a contract, part-time role requiring 20+ hours per week. Compensation is USD $30/hour. The role is open to candidates located in Hungary and requires native or near-native Hungarian reading and writing plus strong English for team communication.

• Employment type: Contractor, Part-time
• Time requirement: 20+ hours/week
• Pay: $30 per hour (USD)
• Location: Remote within Hungary (HU)
• Languages: Hungarian (required), English (required)

What you’ll do

Your day-to-day work focuses on quality review, documentation, and coordination with trainers and reviewers. You will ensure Hungarian-language outputs are natural, accurate, and aligned with project guidelines.

• Review AI-generated Hungarian text and trainer QA work for accuracy, fluency, grammar, spelling, tone, and cultural appropriateness
• Evaluate outputs against project-specific rubrics and label types (evaluation ratings, RLHF)
• Provide clear, constructive written feedback and escalate recurring or critical issues
• Maintain and update style guides, FAQs, examples, trackers, honeypots, and onboarding materials
• Communicate project updates and expectations to trainers and QAs and support onboarding/training calls
• Monitor quality metrics and support process improvements and contributor activation when workflow issues arise

Requirements

Candidates must meet the essential language and coordination requirements listed below. Experience with AI training workflows is a plus but not strictly required if you have strong language and QA experience.

• Native or near-native Hungarian reading and writing ability
• Strong English communication skills for team coordination and written feedback
• Background in Hungarian writing, editing, translation, localization, content QA, or related language-review workflows
• Deep knowledge of Hungarian grammar, spelling, punctuation, register, and cultural context
• Excellent attention to detail and comfort working remotely with distributed teams
• Experience with AI training, data annotation, LLM evaluation, or rubric-based QA is a plus

Helpful background

The following qualifications are helpful and may strengthen your application, but they are not strictly required unless stated elsewhere.

• Degree in Hungarian, Linguistics, Translation, Communications, Journalism, Education, Quality Assurance, or related fields
• Experience leading or supporting remote teams of trainers, reviewers, annotators, or QAs
• Familiarity with tools such as Google Sheets, Google Docs, trackers, dashboards, and communication platforms (e.g., Discord) for coordination and documentation

How this role works & next steps

This contract role focuses on text-based QA work (data type: text) with label types including evaluation ratings and RLHF-style review. You will work with project rubrics and contribute to documentation and training materials.

If you meet the language and coordination requirements, prepare examples of past language QA, editing, translation, or leadership experience. OpenTrain will coordinate onboarding, training materials, and compensation details for successful applicants.