In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Responsibilities
Review, critique, and generate examples for AI model outputs across diverse domains.
Collaborate remotely with fellow experts to evaluate, improve, and annotate data sets.
Deliver clear, insightful feedback and written rationales to support learning objectives.
Author and refine prompts, questions, and tasks that challenge and expand AI reasoning.
Contribute to ongoing testing that assesses AI performance in realistic scenarios.
Document findings and communicate progress effectively with project stakeholders.
Ensure the quality, accuracy, and engagement level of all project deliverables.
Preferred skills
Demonstrated expertise in a specialized domain (e.g., science, education, law, engineering, writing).
Exceptional written and verbal communication skills, with a strong attention to detail.
Previous experience in data annotation, teaching, research, or technical writing is advantageous.
Proven ability to think critically and articulate nuanced feedback or suggestions.
Comfort working independently in a remote project-based environment.
Adaptability to quickly learn project guidelines and adjust deliverables accordingly.
Interest in the development and ethical use of artificial intelligence technologies.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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RemoExperts