English AI Trainer
3 days ago
We are seeking an exceptional English Ai Trainer to join our team at Alignerr. In this role, you will have the chance to shape the future of AI in English by training AI models to generate accurate and relevant content. Your primary responsibility will be to create high-quality data that aligns with industry standards, ensuring the accuracy and relevance of AI-generated content.
As an expert in English language, you will work closely with our team to evaluate AI-generated writing based on rubrics assessing factuality, completeness, brevity, and grammatical correctness. You will also review the work of other human writers and produce top-tier original content in response to prompts.
We are looking for a skilled professional with the following qualifications:
• Enrolled in or have completed an Associates' degree or higher from an accredited institution
• Fluent proficiency in English
• Strong writing style with excellent English-language spelling and grammar skills
• Critical eye and ability to clearly articulate the strengths and weaknesses of written text
• Professional writing experience as a researcher, journalist, technical writer, editor, or similar roles
About Us
Alignerr is operated by Labelbox, a leading data-centric AI platform for building intelligent applications. Our platform enables teams to inject AI systems with the right degree of human supervision and automation, allowing them to build AI products more effectively and quickly. We are backed by leading investors and have partnerships with Fortune 500 enterprises, including Walmart, Procter & Gamble, Genentech, and Adobe.
Key Responsibilities
• Evaluate AI-generated writing based on rubrics assessing factuality, completeness, brevity, and grammatical correctness
• Review the work of other human writers
• Produce top-tier original content in response to prompts
Benefits
This freelance position offers flexible scheduling and compensation rates may vary for non-US locations. Pay Range (rate per hour) $15 — $150 USD. Excel in a remote-friendly hybrid model.
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