Creative Writing Generative AI Analyst - USA (Remote)

About the Role We are hiring Creative Writing Generative AI Analysts in the United States to perform annotation efforts of multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality datasets used to train and improve generative AI models. Project Details Job Title: Creative Writing Generative AI Analyst Location: Remote, USA Hours: 40 hours per week Employment Type: W2 Full-Time Employee Pay Rate: $28.80/hour Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. What You’ll Do Perform annotation and labeling tasks for generative AI datasets, including text, image, video, and multimodal content Create, review, and evaluate prompts and responses across a variety of domains and use cases Conduct quality assurance reviews to ensure annotation accuracy, consistency, and adherence to guidelines Assist in developing and refining annotation guidelines and evaluation criteria Support data collection, categorization, tagging, and evaluation workflows for machine learning systems Identify edge cases, inconsistencies, and quality issues within datasets and model outputs Collaborate with internal teams and external partners to improve annotation quality and operational efficiency Provide feedback on workflows, tooling, and annotation processes Requirements: Native level proficiency English with excellent written and verbal communication skills. Work Authorization is required for the role. Strong attention to detail and ability to follow complex annotation guidelines Interest in creative writing, generative AI, machine learning, and emerging AI technologies Experience with data annotation, content evaluation, labeling operations, or quality review workflows preferred Bachelor’s degree or equivalent practical experience Ways to Stand Out from the Crowd Familiarity with generative AI systems, large language models, RLHF, or multimodal AI workflows Domain knowledge in Law/Medical/Math/Coding/etc is a plus Bilingual proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, or French) Experience annotating prompts, responses, images, video sequences, or other AI training data QA/testing experience within AI, data operations, or content review environments Experience working with evaluation rubrics, taxonomy development, or dataset quality initiatives Python or scripting experience is a plus

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