Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Remote contractor evaluates and annotates AI-generated content in Albanian: reviews prompts, corrects text, assesses multimedia, records voice, provides structured annotations, ensures cultural appropriateness, and follows QA calibration guidelines.

Provide back-office production support for EMEA timezone: assign and manage linguists in Lilt, track acceptance/rejection and QA, handle queries, reassign work, ensure deadlines and accurate system administration, escalate risks, and follow production workflows and enablement tools.

Manage the full expert lifecycle for a global network of linguists and AI data specialists: source, vet, test, onboard, and maintain the expert database. Run sourcing campaigns, design assessments, coordinate with Production/Revenue, analyze pipeline gaps, streamline processes, and train junior team members to ensure high-quality, multilingual and multimodal talent availability.

Translate and localize content between English and Hebrew, edit for accuracy and tone, apply language standards, provide feedback to improve language model quality, collaborate with production teams, support localization and QA for digital tools, and perform creative transcreation when required.

Translate and edit content for marketing, ensuring cultural relevance and clarity. Collaborate on localization projects and provide structured feedback on language models.

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

Lead adoption of AI and agent-driven automation across production to optimize localization workflows. Onboard enterprise customers, define SLAs/KPIs, scope services and pricing, manage escalations and remediations, report performance, and drive continuous improvement and cross-functional implementation.