Company: Welo Data (A Welocalize brand)
Location: Remote (Germany, US, Spain)
Schedule: Flexible, approx. 4 hours/day
Employment Type: Freelance / Contract
Pay Rate: Approximately $17/hour (pay per task)
Start Date: ASAP
Project Duration: Ongoing
Closing date: N/A
About Welo Data
Welo Data partners with leading tech companies to provide high-quality, ethically sourced datasets for AI training. Leveraging 25+ years of experience and a global community of 500,000+ experts, Welo Data specializes in:
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Annotation & Labeling (transcription, image/video classification)
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Enhancing large language models (prompt engineering, fine-tuning, adversarial training)
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Data Collection & Generation (languages, field audio)
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Relevance & Intent evaluation for search, ads, and LLM outputs
Role Overview
We seek bilingual specialists fluent in English (US) and German (Germany) to review machine-translated song lyrics. This is a review-only position focused on assessing translation quality, accuracy, and cultural appropriateness. No rewriting or editing required. Your feedback will help improve automated translation systems.
Key Responsibilities
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Review and assess machine-translated lyrics for meaning, fluency, and naturalness
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Provide quality ratings based on preset evaluation criteria
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Identify mistranslations, awkward phrasing, and cultural inaccuracies
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Maintain consistent, objective judgments throughout the review process
Qualifications
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Native or near-native proficiency in English (US) and German (Germany)
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Strong grasp of linguistic nuances, idioms, and cultural context in both languages
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Attention to detail and ability to focus over large volumes of content
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Experience in translation, localization, or linguistic quality evaluation is a plus but not required
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[Optional] Familiarity with different music genres and lyrical styles
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[Optional] Experience with online evaluation tools or platforms
Additional Information
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Welo Data uses advanced fraud detection to verify freelancer identity and location
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Candidates must review an NDA (non-disclosure agreement) but no signature is mandatory
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Applications are encouraged from students or those looking to develop professional evaluation skills with a flexible schedule
How to Apply
Send your resume along with a brief statement explaining your suitability for this role. Highlight any relevant experience in content evaluation, research, or analysis.