Quality Analyst (LLM, Data Annotation)

Salt is looking to hire an AI Quality Analyst for 12 months & renewable contract role with a global technology client. You will be a subject-matter expert who reviews and evaluates content, decisions, and AI-generated outputs to create high-quality reference data and uphold quality standards. Responsibilities: Apply detailed guidelines and policies to review, label, and evaluate content, decisions and AI-generated outputs across text, image and video with high accuracy and consistency; take part in calibration sessions to stay aligned with peers. Evaluate and rate the quality of AI / model-generated outputs and provide structured feedback to help improve model performance. Create and maintain high-quality reference ("gold standard") datasets used to train, benchmark and measure both human and AI quality. Identify edge cases, errors, and recurring patterns; surface ambiguities and recommend guideline improvements. Act as a subject-matter expert and point of reference for policy and quality questions. Meet accuracy, quality, and turnaround targets, document reasoning clearly. Adopt and support new AI-assisted review and evaluation tools as they evolve Qualification: Relevant subject-matter experience (intellectual property, content or enforcement domains a plus). Able to work independently and thrive in an unstructured, fast-paced environment. Interest in and comfort working with AI and AI-assisted tools. 4 years of experience (2 years as an agent + 2 years as a QA) Prior experience with data annotation, labelling, AI/LLM evaluation or content review. Familiarity with annotation guidelines, rubrics and quality frameworks. Experience working across multiple data types (text, image and/or video). Additional language proficiency relevant to the region supported CEI No: R1659595 / EA No: 07C3147