Quality Assurance Engineer

July 9 Santa Cruz de Tenerife
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Department

Engineering

Summary

Raiinmaker is a Web3 and AI technology company unlocking the power of decentralized infrastructure. Our platform allows users to operate mobile DePIN nodes, train AI models, and validate data - all while earning real rewards in $RAIIN, our native protocol token. The Raiinmaker App and Coiin DePIN Protocol bridge the gap between AI demand and human intelligence, ensuring data quality and network integrity at scale. Role Overview As a Video Quality Assurance Engineer, you will be responsible for manually reviewing user-generated video content submitted to the Raiinmaker platform. Your work ensures that all content meets quality, compliance, and relevance standards required for use in AI training, content validation, and decentralized reputation scoring. This is a flexible, remote-friendly position ideal for candidates located in the Canary Islands, who are detail-oriented, process-driven, and interested in Web3 and emerging AI technology.

Responsibilities

Key Responsibilities
  • Review and evaluate short-form video content for clarity, context, and adherence to Raiinmaker’s quality standards
  • Tag and annotate video submissions based on specific task types (e.g., relevance, framing, clarity, audio cues)
  • Identify and flag low-quality, irrelevant, or inappropriate content for further review
  • Provide structured feedback and edge-case examples to improve review criteria
  • Meet daily/weekly QA benchmarks in speed, accuracy, and consistency
  • Record review data in annotation platforms, spreadsheets, or internal tools as required

Qualifications

  • Fluent English proficiency (written and verbal)Detail-oriented mindset with an eye for video/audio quality and user intent
  • Comfortable using video interfaces, tagging tools, and structured review workflows
  • Based in or working from the Canary Islands (remote or hybrid) or at our office in Tenerife
  • Strong work ethic and accountability to meet task deadlines
  • Bonus: Exposure to short-form video (TikTok, Reels, YouTube Shorts), content moderation, or AI training data workflows

Preferred Qualifications
  • Experience with video annotation, data labeling, or QA for content moderation platforms
  • Familiarity with short-form video formats (e.g., TikTok, YouTube Shorts, Instagram Reels)
  • Understanding of basic AI model training concepts, like labeling quality and data cleanliness
  • Ability to follow detailed annotation task instructions and maintain consistency
  • Exposure to platforms like SuperAnnotate, Labelbox, Amazon SageMaker Ground Truth, or similar tools
  • Interest in Web3, token ecosystems, or blockchain-based incentive models
  • Strong written communication skills for documenting edge cases and feedback
  • Prior experience in remote or asynchronous work environments
  • Strong time management and ability to work independently under deadlines

Offer

  • Flexible work hours and remote collaboration
  • Task-based or hourly compensation with opportunities to earn in $RAIIN
  • Training provided on content guidelines, tagging systems, and QA standards
  • Opportunity to grow into Lead QA, Task Trainer, or Validation Coordinator roles
  • Be part of a pioneering company at the intersection of AI, Web3, and decentralized data infrastructure
Employment typeStandard job
CommitmentFull-time permanent
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Logo

Raiinmaker

Website

https://www.raiinmaker.com/

Email

[email protected]

Contact name

Wyatt Hilkene

Imprint

n/a