Archives: Careers

The role of editors is at a high risk of AI replacement due to advancements in natural language processing and content generation technologies. While AI can automate many aspects of editing, such as grammar checking and even style adjustments, the nuanced understanding and creative judgment required in editing still necessitate human involvement. However, the increasing…

LLM Evaluators define and run experiments to measure model safety, correctness, alignment, and reliability. The role is growing with the need for red-teaming and compliance.

NLP Engineers work on systems that process and generate human language. While LLMs have abstracted away many classic NLP tasks, domain-specific tuning and evaluation remain essential.

AI Product Managers drive strategy behind machine learning-powered products. They combine technical fluency with customer insight and model behavior understanding.

MLOps Engineers are key to deploying and scaling AI systems. While automation simplifies pipelines, hands-on knowledge of versioning, CI/CD, and monitoring keeps this role in demand.

Prompt Engineers specialize in crafting effective prompts to guide large language models (LLMs). Though newer tools automate prompt tuning, human skill is still vital for structured reasoning and alignment.

Software Architects are moderately resilient to AI replacement due to the complex decision-making, creativity, and strategic planning required in their role. While certain aspects of software design can be automated, human oversight, creativity, and adaptability remain critical, allowing experienced professionals to pivot into new areas within technology.

Site Reliability Engineers (SREs) face a medium risk of AI replacement primarily due to the increasing automation of coding and operational tasks. However, their unique blend of software engineering and systems management skills makes them adaptable to emerging technologies, positioning them well for future opportunities.