German Language Specialist

iMerit Scholars

Deutschland

Vor Ort

EUR 38.000 - 60.000

Vollzeit

Vor 8 Tagen
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Benefits dieser Stelle

Global working environment
Continuous learning
Flexible working arrangements
Impactful AI projects

Zusammenfassung

iMerit Scholars seeks a Gen AI Data Annotation Analyst to develop high-quality datasets powering next-gen LLMs. You will evaluate, generate, and refine multi-modal data across text, image, and video for accurate, safe outputs in German and English.

You will draft content in both German and English, apply analytical thinking to edge cases, and collaborate with Language Leads and Project Managers to align on quality benchmarks and project pivots.

Qualifikationen

  • Bachelor’s degree in Linguistics, Communications, or related field.
  • German language mastery at CEFR B2+ (C1 preferred).
  • Ability to switch between creative, technical, and professional writing styles.

Aufgaben

  • Multi-Modal Annotation: Label and categorize data across text, image, and video.
  • Content Generation: Draft text in German and English with appropriate tone.
  • Edge-Case Resolution: Resolve ambiguous data scenarios with reasoning.

Kenntnisse

Linguistic agility
Analytical rigor
Domain breadth
Tool proficiency
German language mastery

Ausbildung

Bachelor’s degree or equivalent

Tools

Annotation platforms

Jobbeschreibung

As a Gen AI Data Annotation Analyst, you will play a critical role in developing high-quality datasets that power the next generation of Large Language Models (LLMs). You will evaluate, generate, and refine multi-modal data (text, image, or video) to ensure AI outputs are accurate, safe, and culturally resonant for the German locale.

Key Responsibilities
  • Multi-Modal Annotation: Label and categorize high-quality training data across text, image, and video formats with surgical precision.
  • Content Generation: Draft grammatically flawless, creative, and factually accurate text in both German and English, adapting tone and style for specific project needs.
  • Edge-Case Resolution: Apply logical reasoning to resolve ambiguous data scenarios where guidelines may not explicitly cover a specific nuance.
  • Continuous Feedback: Identify and report bugs within internal annotation tools and suggest workflow optimizations.
  • Cross-Functional Sync: Collaborate with Language Leads and Project Managers to calibrate on quality benchmarks and project pivots.
System Requirements:

Full set of desktop/Laptop with Windows 11 Pro. Bring a compliant device. Windows 11 Pro (Home editions not allowed) or macOS 12+, 8 GB RAM, 50 GB free disk. Tablets/Chromebooks/phones won’t be accepted.

Network: Stable Internet connection which should have a speed of up to 40MBPS minimum

  • Linguistic Agility: Ability to switch between creative, technical, and professional writing styles effortlessly.
  • Analytical Rigor: A "detective mindset" for spotting subtle inaccuracies or biases in AI-generated content.
  • Domain Breadth: Comfortable handling content ranging from social media trends to high-school-level science and technical documentation.
  • Tool Proficiency: Quick to master complex web-based annotation platforms
  • Education: Bachelor’s degree or equivalent (Linguistics, Communications, or a related field preferred).
  • Language Mastery:
  • German: Native speakers of the relevant language and that market. Advanced level (CEFR B2 minimum; C1 preferred).
Preferred Qualifications
  • Direct experience in RLHF (Reinforcement Learning from Human Feedback) or LLM fine-tuning.
  • Experience moderating sensitive, nuanced, or complex datasets.
  • Familiarity with the current Generative AI landscape (Terminologies, Principles, LLM limitations, etc.).
  • Familiarity with the cultural and professional landscape of the relevant country, either as their country of origin or through extended residency.
What We Offer:
  • An innovative and supportive global working environment.
  • Opportunities for continuous learning and professional growth.
  • Competitive compensation and flexible working arrangements.
  • Engagement in impactful projects at the forefront of AI technology.
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