German Language Reviewer - AI Training
TypePart-time job
LocationAustria, Germany, Switzerland
Posted2 hours ago
About the job
We are recruiting German Language Reviewer to support our client, a leading global AI and language technology company.
As part of the T-Maxx AI Training Contributors Network, we are building a long-term contributor network for ongoing and upcoming AI training projects. There is no strict hiring cap for us, as we expect a steady pipeline of tasks and will continue onboarding qualified contributors. Once onboarded, contributors may have the opportunity to participate in different tasks based on project needs, availability, and performance.
✅ Application Process
• Click "Apply" to complete the short information form for AI Data Annotation
• Complete a brief qualification task if requested (sent via email after we receive your form)
What We Offer
Fully remote, part-time work
Flexible schedule
Around 10–40+ hours of tasks per week, depending on project needs and your availability
Regular task opportunities for active contributors
Clear instructions, training, and ongoing team support
No prior experience required (You can learn and improve gradually)
A practical entry point into AI and data-related work
Independent contractor collaboration
Employment Type: Part-Time
Role Responsibilities
Understand what users are asking in their prompts
Review and compare responses generated by AI models
Label and evaluate responses based on clear guidelines
Check whether AI responses are accurate, useful, and relevant
Review completed work to maintain quality and consistency
Complete tasks independently and meet agreed deadlines
Qualifications
Fluent in both German and English
Good reading comprehension and attention to detail
Comfortable following written instructions
Basic computer skills and willingness to learn
Responsible, responsive, and able to work independently
Interest in AI, chatbots, or technology is a plus
No previous AI or data annotation experience is required
PS: Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.
Originally posted on Himalayas
We are recruiting German Language Reviewer to support our client, a leading global AI and language technology company.
As part of the T-Maxx AI Training Contributors Network, we are building a long-term contributor network for ongoing and upcoming AI training projects. There is no strict hiring cap for us, as we expect a steady pipeline of tasks and will continue onboarding qualified contributors. Once onboarded, contributors may have the opportunity to participate in different tasks based on project needs, availability, and performance.
✅ Application Process
• Click "Apply" to complete the short information form for AI Data Annotation
• Complete a brief qualification task if requested (sent via email after we receive your form)
What We Offer
Fully remote, part-time work
Flexible schedule
Around 10–40+ hours of tasks per week, depending on project needs and your availability
Regular task opportunities for active contributors
Clear instructions, training, and ongoing team support
No prior experience required (You can learn and improve gradually)
A practical entry point into AI and data-related work
Independent contractor collaboration
Employment Type: Part-Time
Role Responsibilities
Understand what users are asking in their prompts
Review and compare responses generated by AI models
Label and evaluate responses based on clear guidelines
Check whether AI responses are accurate, useful, and relevant
Review completed work to maintain quality and consistency
Complete tasks independently and meet agreed deadlines
Qualifications
Fluent in both German and English
Good reading comprehension and attention to detail
Comfortable following written instructions
Basic computer skills and willingness to learn
Responsible, responsive, and able to work independently
Interest in AI, chatbots, or technology is a plus
No previous AI or data annotation experience is required
PS: Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.