Content Editor II - Hybrid

Our ecommerce client is looking to bring on content editors to support their AI shopping assistant. This role will be 3 days hybrid in South Lake Union, WA.Top Skills' Details1. Bachelor Degree2. 2+ years of product focused copy experience (product descriptions, customer facing blog posts, etc)3. Content Management System experience4. Strong Communication Skills5. Ability to provide Writing examplesDescription:Key job responsibilitiesAs an Editor/Product Content Specialist, you will be the subject matter expert for how a conversational Shopping Assistant should respond to customers in a helpful, truthful, and actionable way. You will review and supervise the Large Language Model’s (LLM’s) output and monitor key metrics to ensure that it delivers a high-quality customer experience for various types of conversations while meeting business objectives.A day in the life• Curate training data through purpose-built tools to feed into LLMs.• Review and supervise the output of the LLM to ensure it meets a high bar.• Review internal and external customer feedback to enhance the LLM’s output.Can you give me a little detail about your team culture?It’s organized like a Publishing House. We are learning as we go as a team. We have an Editor and Chief, who sets the overall style, tone, general guidelines, and policies of our Shopping Assistant as well as defining various workflows. Underneath the Editor and Chief, we have Managing Editors. Managing Editors will be mapped to cross-functional stakeholders (e.g. Science, Design, Product Management). They work closely with those stakeholders, designing specific workflows to meet internal customer needs. Underneath them will be a team of content specialists, who will output what’s necessary for these workflows through grading model output, annotating/labeling training data into models, and, sometimes, writing training data to improve the model itself. They will do this based off the policies, guidelines, style guides and work flows that we as a team use.This is still a new team and we are in the process of hiring Managing Editors and identifying lasting workflows. It’s an established team as far as the culture.Reason/motivation for request: Required for the project to enable the LLM to have meaningful and engaging conversations. Build up team of content specialists.Interaction with team/Day to Day:• Working within 2 pizza teams (6 individuals) with a team lead.• Each person gets assignments (annotation/labeling, grading, editing, writing short-form copy• Take the assignment and look at the policies, style guide, tone requirements, etc. and write the demonstration data. This could be long or short form.• They will take that output and we will define a workflow that allows them to programmatically submit to our science team• The pipelines will be constructed by this teamPERFORMANCE METRICS:• Will be measured against the leadership principles that we have as a company• How they performance against the tasks that we put in front of them. We will have a set of tasks, a set of performance metrics, quality metrics that will be very clearly communicated to the individualsAdditional Skills & Qualifications:Preferred Qualification• 2+ years of category/vendor management experience, and/or expert knowledge and broad familiarity with specific product types in consumables, electronics, hardlines or soft lines categories.PREFERRED SKILLS• Technology• Social media presence• Technical Proficiency• Familiar with Ecommerce• CopywritingAbout TEKsystems:We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.