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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
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
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.
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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.
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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories



