Multilingual Data Annotation Specialist, Spanish

This Associate role requires Spanish language proficiency and involves data annotation or operational tasks supporting multilingual AI training data. The position ensures quality and accuracy in Spanish-language datasets for machine learning applications.

This entry-level role focuses on data annotation tasks to support AI image recognition models for retail execution analytics. The analyst will label and prepare data for machine learning pipelines, ensuring high-quality training datasets. This is a non-technical position ideal for detail-oriented individuals.

This part-time contractor role focuses on improving Large Language Models through labeling, ranking, auditing, and correcting model outputs. The specialist will evaluate and rank model outputs, stress-test models adversarially, create datasets, and build rubrics. Requires strong analytical skills and experience with multiple data formats across text, image, and structured modalities.

This role involves creating precise 2D and 3D annotations on camera imagery, video, and LiDAR point clouds to build ground-truth datasets for training perception models. The analyst applies detailed guidelines for segmentation, object tracking, pose, and keypoints while maintaining quality and production volume.

This Associate Customer Success Manager role at Zefr supports client relationships for the programmatic product, helping brands and agencies execute campaigns in DV360, Google Ads, and Facebook. The associate will provide strategic advice, analyze client data, and collaborate with internal teams to improve the product. Requires 1+ years of customer success or programmatic trading experience and understanding of Google Ads and DV360.

This Multilingual Data Annotation Specialist role at Zefr involves labeling video, image, and metadata content across social platforms like YouTube, TikTok, Meta, and Snap, with a focus on Hindi and English cultural fluency. The specialist will apply labeling frameworks, perform quality assurance, and help refine guidelines for machine learning training data. Requires fluency in Hindi and English, attention to detail, and comfort with sensitive content.

This Software Engineer role at Zefr involves designing, building, and operating APIs using REST and GraphQL, complex workflows with Apache Airflow, and data transformation pipelines in Snowflake and DBT. The engineer will support front-end interfaces, MCP servers, and offline batch processes. Requires 1-2 years of experience and competency in Python, SQL, and REST APIs.