
Generative AI Associate
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in Louisiana.
• Evaluating and assessing the performance of AI models or algorithms based on their output or behavior using a series of evaluative questions.
• Labeling specific elements within a piece of content rather than labeling the entire content.
• Assigning predetermined categories or labels to various items.
• Assessing the perceived quality and appropriateness of content.
• Generating labels to enhance the understanding of concepts, trends, etc.
• Creating additional training data for machine learning models by applying transformations to the original data, such as modifying images (e.g., rotation, flipping, cropping), generating new text (e.g., paraphrasing, summarization), or altering audio/video signals (e.g., speed modification, pitch shifting) to mitigate overfitting and enhance dataset diversity.
• Reviewing data to determine whether a product feature functions as intended according to the project's guidelines.
• Labeling model outputs to ascertain if a piece of content meets specific criteria. For example: identifying clickbait, gaming videos, or branded content.
• Ordering or ranking items based on established preferences or criteria.
• Developing prompts or questions to elicit responses from a language model or other AI systems.
• Conducting projects that evaluate content relevance based on a relevancy scale (1-3, 1-5, etc.).
• Generating responses to prompts or questions utilizing a language model or other AI systems.
• Rewriting existing text to maintain original meaning while enhancing clarity or style and adhering to guidelines.
• Producing succinct summaries of longer texts or datasets.
• Transcribing spoken language or audio content into written text.
• Translating text or spoken language from one language to another.
• Collecting and compiling diverse forms of data for training, evaluating, or fine-tuning AI models, which may include text, images, videos, audio files, or other types of digital content.
• A Bachelor's degree or higher in a humanities specialization is mandatory. Advanced degrees (Master’s or PhD) are highly preferred.
• Professional or expert-level proficiency (C1/C2) in English is required.
• Competitive salary and performance-based incentives.
• Opportunities for professional development and continuing education.
• Flexible work environment and schedule.
• Collaborative and inclusive workplace culture.
• Access to cutting-edge technology and tools.
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