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OpenTrain AI is seeking a Generalist contributor to analyze, evaluate, and annotate diverse datasets for AI training and model evaluation. This intermediate-level contractor role is fully remote and runs for 3 to 6 months, with English-language projects and flexible scheduling.
You will follow project requirements, produce precise work, and communicate findings clearly while supporting text generation, QA, and RLHF tasks.
OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build their profiles, and apply in minutes.
Creating an OpenTrain account is free, and this opportunity offers a chance to contribute to cutting-edge AI development through a flexible, fully remote contract.
AI training is the human side of building artificial intelligence. Contributors prepare and review examples that help modern AI systems learn to produce more relevant, accurate, and useful results.
This project focuses on general-purpose AI training and model evaluation, including written feedback, response review, question answering, text generation, and reinforcement learning from human feedback. Your careful judgments will help validate and improve AI system performance.
As a Generalist contributor, you will analyze, evaluate, and annotate varied datasets used for AI system training and validation. You will work across multiple domains, apply detailed project requirements, and communicate your findings clearly.
This is an intermediate-level contractor opportunity expected to run for 3 to 6 months. Prior data labeling or annotation experience is welcome but not required, while relevant general-purpose AI training and model evaluation experience is expected.
You will complete precise, consistent work while following project-specific quality-assurance procedures. The role combines analytical judgment, written communication, and careful review of AI-related content and decisions.
Successful candidates will demonstrate exceptional written and spoken English, strong critical-thinking and analytical abilities, meticulous attention to detail, and clear written and verbal communication. You should be able to produce precise work independently and collaboratively, meet deadlines, and work comfortably in a fully remote environment.
Applicants must be based in one of the listed eligible countries and be comfortable working in English. The project is fully remote, but participation is not worldwide.
AI training and data labeling are among the fastest-growing ways to work in tech. This work gives contributors a direct role in shaping how state-of-the-art AI systems understand information, respond to people, and perform across varied tasks.
Remote AI projects can offer flexible work around other commitments, while specialized evaluation experience can help you build a career in a rapidly expanding industry.