AI writer
AI writers are tasked with creating written content using gen AI and then reviewing, editing, and reworking that content to quickly produce blog posts, articles, and social media updates, all faster than the average human. The role requires a strong understanding of SEO, prompt engineering, NLP, content management, data analysis, and knowledge of popular AI tools. You’ll also need a strong understanding and knowledge of copyright laws and ethical considerations around AI writing, which are still up for debate and evolving. According to the survey, 14% of respondents say they’ve already hired AI writers to support gen AI, while 44% say they have plans to hire for the role.
AI artist
Similar to AI writer, AI artists use AI to create artwork for companies including logos, branding, stock images, and other creative content for products, services, and marketing campaigns. It’s a role that requires creative experience combined with the technical knowledge of NLP, ML, AI, and prompt engineering. You’ll need to ensure the right images are created and then also have an eye and skill to edit and improve the AI outputs to ensure they accurately represent the brand. Much like AI writing, AI art is another contentious topic that draws criticism regarding the automation of art. Nevertheless, AI artist is an increasingly popular role as businesses embrace this implementation of AI to expedite advertising campaigns, streamline posting online content, and speed up delivery times for creative work. According to the survey, 10% of respondents say they’ve already hired AI artists to support gen AI, while 41% say they have plans to hire for the role.
Natural Language Processing engineer
NLP engineer is a vital role for embracing AI in any organization. AI relies heavily on NLP to improve communication and create chatbots and other AI services that need to communicate effectively with users, no matter the query. This role is responsible for training NLP systems, developing models, running experiments, identifying proper tools and algorithms, and performing regular maintenance and analysis of the models. Candidates typically have experience in big data, coding, model selection and customization, language modeling, language translation, and text summarization using NLP tools. NLP plays a big role in technologies such as text-to-speech (TTS) and speech-to-text (STT), chatbots and virtual assistants, and other AI tools designed to interact in real-time with users. According to the survey, 17% of respondents say they’ve already hired NLP engineers to support gen AI, while 18% say they have plans to hire for the role.
