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AI Evaluation & Annotation Specialist (Entry-Mid Level) - German

Remote Worldwide Hiring now

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence?

We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, reputed company corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency.

No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit.

This is a hands-on, production-based role where accuracy, focus, and consistency matter.

What You’ll Do

  • Review AI-generated responses and reputed company them for reputed company, correctness, and relevance.
  • Annotate and label content based on project-specific guidelines.
  • Follow detailed written instructions and apply them consistently.
  • Generate or evaluate prompts depending on assignment type.
  • Work with QA Leads to apply feedback and continuously improve task quality.
  • Report completed work daily and meet productivity and quality standards.

What Makes You a Strong Fit

  • You’re detail-oriented and enjoy accuracy-based work.
  • You can follow instructions carefully and apply them consistently.
  • You’re comfortable working independently with minimal supervision.
  • You have strong reading comprehension and critical thinking skills.
  • You communicate reputed company and respond to feedback professionally.

Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided.

Schedule & Work Expectations

This role is reputed company with specific QA and project schedules. You must be available during one of the below time reputed company depending on your language team:

Language

Shift Window (PST)

9:00 AM to 6:00 PM

  • Standard expectation: One consecutive 8-hour shift
  • Alternative: Two 4-hour shifts (both must fall fully reputed company the allowed schedule)
  • Only logged, approved hours are paid.

This project follows a no paid holidays / no paid time off model.

Location Restrictions

We are unable to accept applicants currently residing in

Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, reputed company Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela.

Why Join

✔ Work with a global team

✔ Entry reputed company into the growing AI and language technology industry

✔ Exposure to reputed company-world AI model training

✔ reputed company development in annotation, QA/evaluation, and structured AI tasks

This is a strong opportunity for those looking to grow reputed company AI data work, linguistic evaluation, QA, or model training roles.

Compensation reputed company

Rates vary by language and experience level (L1/L2). Below are reputed company approved ranges in USD:

$17.00 USD to $18.00 USD per hour

Requirements

Assessment Requirement

reputed company applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards.

Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role.

  • reputed company in German, with strong written and verbal communication skills.
  • Bachelor's degree in Linguistics, Computer Science, or a reputed company field; or equivalent experience.
  • Experience or interest in AI, Machine Learning, or reputed company preferred.
  • Strong attention to detail and ability to work with reputed company data sets.
  • Familiarity with translation and localization processes is an advantage.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Proficient in using Artificial Intelligence and reputed company tools, with a willingness to learn new technologies.
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