Appen
Artificial Intelligence • Data • Enterprise
Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.
English Speaker – AI Q&A Annotator, Finance
Job not on LinkedIn
November 26
🇺🇸 United States – Remote
💵 $20 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
💸 Financial Planning and Analysis (FP&A)
🦅 H1B Visa Sponsor
Appen
Artificial Intelligence • Data • Enterprise
Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.
📋 Description
• Create natural, realistic Q&A pairs that mirror how users interact with SQL query results. • Ensure each Q&A pair is linguistically clear, contextually accurate, and logically aligned with SQL outputs. • Work on Finance domain • Interpret SQL queries and corresponding result tables. • Craft questions that reflect real user scenarios and information needs. • Provide accurate answers fully aligned with the returned dataset. • Verify consistency between question intent, query logic, and data output.
🎯 Requirements
• Residing in United States (outside locations would automatically be rejected) • Understanding of SQL query logic (preferably Oracle SQL): filters, joins, groupings, aggregations, and subqueries. • Familiarity with relational database concepts (schemas, tables, columns, rows, keys). • Excellent written English and ability to write clear, natural questions. • Preferred but not required: Bachelor’s degree in Computer Science, Information Systems, or related field. • Domain familiarity in Finance
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