This is a remote position.
Artificial Intelligence Data Specialist (US) - Remote Job, 1+ Year Experience
Annual Income: $66K - $75K
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Job Summary
As a crucial team member, you will play an instrumental role in shaping the future of AI-driven solutions. We value your expertise, offering competitive compensation and flexible working arrangements.
Responsibilities:
• Participate in diverse projects centered on training generative AI models.
• Carry out tasks such as ranking AI-generated responses, creating engaging responses based on given topics, and assessing the factual accuracy of AI-generated text.
• Utilize your comprehensive understanding of Human Resources to bolster the knowledge base and output proficiency of AI models.
Qualifications:
• Bachelor's degree or higher in Human Resources, Business, or a related field, demonstrating a thorough knowledge of the subject.
• High proficiency in written and spoken English.
• Strong writing skills ensuring clarity, accuracy, and coherence.
• Ability to analyze critically and evaluate written content.
Nice to Have Skills:
• Experience in writing roles such as HR communications, business writing, technical writer, or editor.
• Familiarity with AI technologies and their applications in the field of Human Resources.
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation
