Artificial Intelligence Model Refiner
1 week ago
As an AI/LLM evaluator, you will play a crucial role in refining the accuracy, fluency, and coherence of AI models. This involves creating high-quality training data sets that can help improve the performance of these models.
Key Responsibilities:
- Develop and maintain training data sets to enhance the linguistic capabilities of AI models.
- Annotate data to align AI models with human values and principles.
- Enhance the grammar, syntax, and sentence structure of training data and AI-generated text to adhere to linguistic conventions.
- Collaborate with cross-functional teams to refine and iterate data sets.
- Contribute to evolving specifications for AI model training and data recipes.
- Navigate a dynamic environment and adapt to shifting priorities and guidelines.
Requirements:
- Excellent analytical and problem-solving skills.
- Ability to work collaboratively in a team environment.
- Strong communication and interpersonal skills.
- Proficiency in data annotation and curation.
- Knowledge of AI/ML concepts and technologies.
Benefits:
- Opportunity to work on cutting-edge AI/ML projects.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
Why this role matters:
This role is critical to the development of accurate and reliable AI models that can have a positive impact on society. As an AI/LLM evaluator, you will be contributing to the advancement of AI technology and its applications.
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