About the Role
This is a search-optimized gateway for work from anywhere jobs in AI data operations. You’ll contribute to RLHF, instruction tuning, large language model evaluation, and content safety labeling. Typical workflows include data labeling and audit, prompt evaluation, named entity recognition, computer vision annotation (bounding boxes, polygons, segmentation masks), transcription, and QA evaluation. You’ll collaborate with annotation leads, data quality managers, and model ops engineers to enforce annotation guidelines compliance, inter-annotator agreement, and gold-standard labeling. Your contributions directly feed into LLM training pipelines, improving alignment, safety, and user satisfaction across real products.



