Language Expert and AI Trainer (Russian)

You will help improve AI systems by reviewing Russian-language model outputs and writing clear examples of strong answers. The work covers general knowledge, customer support, education, and conversational writing.

You will explain problems precisely, including mistranslations, meaning changes, unclear wording, inconsistent terminology, unsupported claims, and unsafe content.

• Review Russian AI content for accuracy, fluency, grammar, spelling, tone, register, and cultural fit.
• Write Russian reference answers, rewrites, and model responses when needed.
• Compare and rank multiple AI responses for overall quality.
• Check meaning preservation, terminology consistency, factual reliability, and adherence to the prompt.
• Flag misleading, hallucinated, or policy-risk content and explain the needed corrections.

This is a remote, part-time contractor role. You should be comfortable working independently in an hourly workflow across time zones.

• Pay: $25 per hour.
• Time: 20+ hours per week.
• Location: Open to candidates in Kazakhstan.
• Language: Fluent Russian with strong reading and writing ability; strong professional English for guidelines and detailed feedback.
• Experience: Writing, editing, localization, translation, content quality assurance, journalism, education, or related language work.
• Skills: Strong Russian grammar, punctuation, style, and command of multiple registers, with careful judgment about cultural nuance and terminology.
• Preferred: Previous AI data training, translation quality assurance, editorial quality assurance, or rubric-based evaluation experience.
• Helpful: A degree in linguistics, Russian or English literature, communications, journalism, translation, or a related field; product or user-interface localization experience.

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is free to join and helps people find AI training and data-labeling work.

AI training is the human work behind systems that generate and understand language. People review model outputs, write examples, and provide feedback so AI systems become more accurate, useful, and safer; language specialists are valued for their detailed knowledge of grammar, meaning, tone, and cultural context.