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Content Reviewer in Darmstadt
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Content Reviewer
Innodata Inc.  Germany

Innodata Inc.
Content Reviewer
Innodata Inc.  Germany
2 weeks ago  194 applicants
  
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Ravi RanjanClick here to view Ravi Ranjan’s profile
Ravi Ranjan
𝗛𝗶𝗿𝗲 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗶𝗻 𝗔𝗜 |…
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.



Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.



About the role:



We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.



We are currently looking for a Content Reviewer to review and evaluate online content to help improve AI responses and overall accuracy. The role involves checking content quality, correctness, and proper categorization according to project guidelines.



Job Details

Job Title: Content Reviewer

Location: Native German only

Type: Freelance

Required Engagement: 30 hours per week

Rate: $18 per hour

Contract Duration: 3–6 months



Key Responsibilities

• Review digital content and evaluate its quality and accuracy

• Help improve AI responses by providing accurate evaluations

• Follow project guidelines while reviewing content

• Identify errors, inconsistencies, or inappropriate content

• Categorize and tag content appropriately



Key Requirements

• Good knowledge of pop culture, brands, and current events

• Understanding of taxonomy and content categorization

• Familiarity with social media platforms is mandatory

• Strong attention to detail and communication skills



Assessment Process

Candidates will be required to complete the following assessments:

• LLM Evaluation Assessment



LLM Evaluation Test:

https://icap.innodata.com/registerfreelancer?enc=oUTZVsr/Pnz/0Xygc2EK3yDjFSl6saFaJ7PMIm28opqAPwT2LJJQDD68MkY6jszYhhsYYecqmKWja8eKXV801gezikielezikiel



Please note that keeping your camera & location on is mandatory during the assessment. Submissions without camera & location compliance may not be considered.



• Pearson Versant Assessment (C1/C2 only)

• ICAP MRS Assessment (link will be shared soon)



Candidates who successfully pass all three assessments will be invited for a short interview with the project team.