AI Language Data Expert

T-Maxx International; Remote; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

A globally recognized technology firm seeks an AI Language Data Specialist to support the training and evaluation of advanced AI language models. This role involves annotating English and German text, evaluating AI outputs for clarity and accuracy. Candidates should have strong English skills and a Bachelor’s degree, with a focus on detail and the ability to work independently. This position offers stability and opportunities for long-term collaboration and professional growth in AI-related projects.

Leistungen

Clear opportunities for rate increases

Long-term collaboration

Practical experience in AI data

Qualifikationen

• Strong comprehension and written accuracy in English.
• Ability to work independently in a remote environment.
• Stable internet connection and reliable availability.

Aufgaben

• Annotate and review English & German-language text according to project guidelines.
• Evaluate AI-generated outputs for accuracy and contextual appropriateness.
• Identify unclear cases or potential model errors.
• Create or rewrite short English & German text samples as required.

Kenntnisse

Advanced English reading and writing skills

Attention to detail

Ability to understand contextual meaning

Ausbildung

Bachelor’s degree or higher

Jobbeschreibung

🔹 About the Company

We are partnering with a globally recognized technology company focused on artificial intelligence and large language model (LLM) development.

The company develops AI systems used worldwide, with a strong emphasis on language understanding, contextual accuracy, and culturally aware AI.

To support long-term LLM training and evaluation, we are building a stable international team of language specialists who contribute directly to core AI model improvement.

This is a long-term project with consistent workload , rather than short-term or one-off tasks.

🔹 About the Role

As an AI Language Data Specialist , you will support the training and evaluation of advanced AI language models by working with English-language data.

Your work will help AI systems better understand meaning, tone, intent, and contextual nuance in real-world English usage.

This role is suitable for candidates who are detail-oriented, comfortable working independently, and interested in long-term involvement in AI-related projects.

🔹 Key Responsibilities

• Annotate and review English & Germany-language text according to detailed project guidelines
• Evaluate AI-generated outputs for accuracy, clarity, and contextual appropriateness
• Identify unclear cases, inconsistencies, or potential model errors
• Create or rewrite short English & Germany text samples when required
• Follow quality and delivery standards within agreed timelines
• Communicate with reviewers or project coordinators when clarification is needed

🔹 Required Qualifications

• Advanced English reading and writing skills
• (native-level fluency is not required; strong comprehension and written accuracy are essential)
• Bachelor’s degree or higher (all academic backgrounds welcome)
• Ability to understand contextual meaning, tone, and intent in English text
• Strong attention to detail and ability to follow written guidelines precisely
• Ability to work independently in a remote environment
• Stable internet connection and reliable availability

🔹 Preferred Qualifications

• Experience in data annotation, content review, translation, editing, or technical documentation
• Background in linguistics, education, communication, or related fields
• Interest in AI, machine learning, or language technologies
• Candidates seeking stable, long-term project participation

🔹 Compensation & Project Structure

• Compensation aligned with the local market
• Pay rates determined by experience, quality level, and task complexity
• Clear opportunities for long-term collaboration, rate increases, and expanded scope based on performance

🔹 Why Join This Project

• Participate in the development of real-world AI and LLM systems
• Gain practical experience in AI data and language technology
• Work within a structured, professional, and international project environment
• Build transferable experience relevant to future roles in technology and AI-related fields