This is a short in-person research study about how Polish-speaking people use their phones, apps and everyday digital tools. Participants spend one to three days with a research team, talking through their habits and sharing examples of their phone activity, then complete a questionnaire. It is aimed at native Polish speakers who use Polish daily and have long experience with a smartphone.
Pay not disclosed
The platform does not publish the pay for this job.
Open to residents of: United States.
You apply on Mindrift, the AI training platform run by Toloka: submit your application for the role, pass a qualification step, then work on projects that match your expertise.
Official posting: https://apply.workable.com/j/1D5CFB1944
Last checked on October 15, 2026.
This is a voluntary, in-person user research study about how people use their phones, apps and everyday digital tools, with attention to how those habits vary across languages and cultures. It is aimed at native French speakers living in New York who can attend a multi-day session in Midtown Manhattan. Participants receive a consent form that explains the sessions before they begin.
Posted October 14, 2026
This is a paid, in-person research study in Midtown Manhattan about how people use their phones, apps and everyday digital tools across languages and cultures. It is aimed at native Hebrew speakers living in New York who can take part over three consecutive days, and it is voluntary, with a consent form explaining what is involved.
Posted October 14, 2026
This role involves evaluating and improving AI systems designed for Chinese language learning by assessing the linguistic accuracy, naturalness, and educational quality of AI-generated speech and text, as well as learner output across proficiency levels. The position is ideal for Chinese language experts with teaching or evaluation experience who want to directly influence how AI understands and teaches Chinese.
This role involves evaluating and improving AI systems trained on Italian-language content by assessing the linguistic accuracy and naturalness of AI-generated speech and text, as well as evaluating learner language across proficiency levels. The position is ideal for Italian language experts with teaching experience who want to shape how AI understands and teaches Italian.
This role involves evaluating and improving Arabic translations and AI-generated text by assessing fluency, tone, and cultural authenticity. Native or near-native Arabic speakers will teach language models to produce more natural, human-like Arabic output by rating translations, identifying gaps that automated systems miss, and rewriting model outputs to match native speaker standards.
A Bengali specialist evaluates and corrects AI-generated Bengali text, focusing on accurate pronoun usage, regional variations, and natural phrasing. The role involves reviewing translations, scoring model outputs, and providing native-speaker feedback to improve AI language understanding.
