Jobs at RWS Group

Perform remote, part-time data tasks to improve AI content in Marathi, including data collection, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

Perform remote, part-time data tasks to improve Dutch AI outputs: collect, evaluate, and annotate data; perform pairwise comparisons, counting, object tagging across audio, video, images, and other content.

The AI Data Specialist will perform data collection, evaluation, annotation, and labeling tasks for AI-generated content in Tamil.

Perform remote, part-time data tasks to improve AI in Tagalog: collect, evaluate, and annotate data; perform pairwise comparisons, counting, and object tagging across audio, video, images, and collected data. Requires native Tagalog and fluent English; AI/data experience preferred. Freelance, flexible schedule, immediate start, 10+ hours/week.

Perform data collection, evaluation, and annotation to improve AI-generated Kannada content. Tasks include pairwise comparisons, counting, object tagging and labeling across audio, video, images, and other data types.

Perform remote part-time data tasks to improve AI-generated Telugu content: collect, evaluate, and annotate data; conduct pairwise comparisons, counting tasks, and object tagging/labeling across audio, video, images. Flexible schedule, 10+ hours/week.

Perform part-time remote data tasks to improve Spanish (Mexico) AI outputs: collect, evaluate, annotate, and tag content across audio, video, images, and other data; perform pairwise comparisons and counting tasks. Flexible schedule, immediate start.

The AI Data Specialist role involves data collection, evaluation, annotation, pairwise comparisons, and tagging across various content types.

Perform remote, part-time data tasks to improve Japanese AI content: collect, evaluate, and annotate data; do pairwise comparisons, counting, and object tagging across audio, video, images, and other data types.

The role involves data collection, evaluation, comparison, and annotation to enhance AI-generated content in Vietnamese, ideal for flexible workers.

Perform remote, part-time data tasks to improve AI-generated Indonesian content: collect, evaluate, and annotate data across audio, video, images; perform pairwise comparisons, counting, and object tagging.

The AI Data Specialist will perform data-related tasks, including data collection, evaluation, annotation, and tagging across various formats, specifically in Thai.

Perform part-time remote data tasks to improve English AI outputs: collect, evaluate, and annotate data; conduct pairwise comparisons and counting tasks; tag and label objects across audio, video, images. Flexible, long-term freelance work based in Brazil.

The AI Data Specialist role involves data collection, evaluation, annotation, and labeling for AI-generated content in English.

Freelance, part-time remote role improving AI-generated Italian content through data collection, evaluation, and annotation. Tasks include pairwise comparisons, counting, object tagging and labeling across audio, video, images, and other collected data. Flexible schedule, long-term project, immediate start.

Perform data collection, evaluation, and annotation to improve AI-generated Bengali content across audio, video, images, and text. Tasks include pairwise comparisons, counting, object tagging, and labeling. Part-time freelance remote role requiring native Bengali fluency and fluent English; AI/data experience preferred.

The AI Data Specialist will handle data-related tasks such as data collection, evaluation, annotation, and tagging for AI content improvement across various formats.

Review short-form video clips to identify languages in audio and on-screen text, validate locale authenticity for Latin America, generate accurate ground-truth labels with internal tools, and ensure high-quality, consistent data for training AI models.

Review short-form videos to identify languages in audio and on-screen text, validate locale authenticity, label data using internal tools, and ensure high-quality annotations for ML training.

Review short-form videos to identify languages in spoken audio and on-screen text, validate locale authenticity, generate accurate ground-truth labels using internal tools, and maintain high data quality per project guidelines to train ML models.