Top Tech Jobs & Startup Jobs

Perform on-site data annotation and quality assurance for natural language datasets, test AI products, analyze data for consistency and model performance, report anomalies and insights, and collaborate to refine machine learning models.

Request to complete a partner questionnaire so Welocalize can evaluate your company for potential collaboration; their team will follow up if services are needed.

Freelance translator to translate and proofread patent-related content from English into Polish across technical fields (Chemistry, Computer Science, Electricity). Use JIRA and XTM CAT tools, follow client style/process instructions, perform LQA, and communicate promptly in English. Requires attention to readability and style adequacy for target audience.

Evaluate search results for relevance and usefulness, answer simple quality questions, follow client guidelines, complete online tasks to improve AI/search systems, pass training and client exam, and sign an NDA.

Evaluate AI outputs, perform audit-based reviews, identify patterns and failure modes, apply and improve annotation/evaluation guidelines, document findings, and communicate insights to cross-functional teams to improve model performance and evaluation frameworks.

Evaluate the aesthetic quality, readability, spatial accuracy, and relevance of personalized map designs and location recommendations. Review viewport framing, icons, labels, and content against project guidelines, tag specific issues, follow instructions, and complete tasks using a desktop and active Gmail/Google Maps account.

Place certified English-to-Spanish interpreters for a Rhode Island state contract. Requires 5–7 years interpreting experience, recognized certification, native Spanish fluency, and English fluency. Applicants should submit an updated CV and hourly rate.

Welocalize invites freelance linguists and localization specialists to submit CVs for opportunities in translation, localization, adaptation, and NLP training-data tasks (collection, annotation, evaluation). Candidates may be contacted when a fit is found.

Evaluate AI model outputs, perform audit-based reviews to identify patterns and failure modes, apply and refine guidelines, document findings, and collaborate with leads and cross-functional teams to improve model evaluation and data quality.