Remote AI Training Specialist Data Quality Improvement
Job Description & How to Apply Below
Elevate model performance as an expert in AI training. This full-time remote position involves labeling and evaluating multimodal data to enhance AI/ML training pipelines.
As an AI Training Specialist, you will work mid-senior level with text, images, and computer vision data. Key responsibilities include executing RLHF ranking, conducting QA checks, and ensuring compliance with annotation guidelines. You'll engage asynchronously with cross-functional teams while adhering to secure data handling practices.
Key Responsibilities:
• Perform data labeling for NLP and computer vision tasks
• Execute RLHF ranking and preference judgments
• Conduct QA evaluation checks for compliance
• Document edge cases and write clear rationales
• Collaborate with teams remotely on data handling
Requirements:
• Mid-senior experience in AI/ML data operations
• Familiarity with LLM training pipelines and dataset QA
• Experience in NLP and/or computer vision annotation
• Strong analytical writing and decision-making skills
• Ability to maintain high agreement rates remotely
Utilize your expertise to enhance training data quality and improve AI model performance effectively.
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