AI Trainer (Data Annotation & Model Evaluation)
Hirely is recruiting for a remote AI Trainer opportunity with one of our hiring partners. This role focuses on improving the performance of artificial intelligence systems through structured data annotation, AI response evaluation, quality assessment, and model feedback.
The successful candidate will contribute to projects that help train, evaluate, and improve next-generation AI models while following detailed project guidelines and quality standards.
Responsibilities:
- Annotate and label AI training datasets according to project guidelines.
- Evaluate AI-generated responses for accuracy, quality, factual correctness, and safety.
- Compare and rank AI model outputs using structured evaluation criteria.
- Review and improve datasets used to train and evaluate AI systems.
- Maintain high accuracy, consistency, and attention to detail across assigned tasks.
- Complete work independently while meeting quality and productivity expectations.
- Excellent written English communication skills.
- Strong analytical and critical thinking abilities.
- High attention to detail.
- Reliable computer and internet connection suitable for remote work.
- Previous experience in AI training, data annotation, quality assurance, research, education, writing, software engineering, or related analytical fields is beneficial but not required.