Top Tech Jobs & Startup Jobs in Chicago, IL

Manage localization projects in the Life Sciences field, ensuring timely delivery and adherence to quality standards while coordinating with various teams.

The role involves evaluating AI outputs, generating content, providing annotations, and ensuring quality through cultural and contextual awareness.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

The Project Manager is responsible for end-to-end project delivery, managing resources, ensuring quality and risk assessments, and overseeing technical execution while maintaining communication with stakeholders.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

Create and review realistic media, broadcasting, and digital content scenarios in English/Russian for AI benchmarking. Adapt evaluation rubrics, assess AI and human outputs for accuracy, editorial quality, cultural appropriateness, and produce gold-standard solutions reflecting GCC newsroom and production practices.

Review, annotate, and generate Spanish-language content for AI training across text, audio, and video. Evaluate AI outputs for accuracy, cultural appropriateness, and brand alignment; provide structured annotations, participate in QA and calibration, and spot translation or visual issues to improve models.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

Perform human review and annotation tasks to train and evaluate AI: assess prompts and outputs, correct text, analyze multimedia, record voice samples, and provide structured annotations and culturally informed feedback following guidelines.

Perform language- and culture-sensitive human review and annotation of AI outputs across text, audio, and video. Generate or assess content, identify errors and cultural mismatches, provide structured annotations, and follow evaluation guidelines and QA calibration to improve models.