Remote AI Training & Data Evaluation Specialist

SaidGig; New York (NY); Remote; USD 138,000 - 248,000; Full time

Job summary

SaidGig is seeking a remote contractor to advance next-generation AI systems by applying real-world domain expertise to training data, evaluations, and feedback. This role focuses on improving how AI models learn, reason, and perform.

You will review outputs, annotate datasets, write clear feedback and rationales, and help test AI performance in realistic scenarios. The engagement is remote and project-based, with flexible hours and collaboration with remote experts.

Qualifications

• Expertise in a specialized field such as science, education, law, engineering, or writing.
• Strong written and verbal communication skills, critical thinking, and close attention to detail.
• Ability to deliver nuanced feedback and explain reasoning clearly.
• Data annotation, teaching, research, or technical writing experience is beneficial.
• Interest in the development and ethical use of AI technologies.

Responsibilities

• Review, critique, and create examples of AI model outputs across relevant domains.
• Evaluate, improve, and annotate datasets in collaboration with remote experts.
• Provide clear written feedback, rationales, and suggestions that support learning objectives.
• Write and refine prompts, questions, and tasks that test and extend AI reasoning.
• Contribute to ongoing testing of AI performance in realistic scenarios.
• Document findings, communicate progress with project stakeholders, and maintain accurate, engaging deliverables.

Skills

Specialized field expertise

Written communication

Critical thinking

Independent work

Job description

SaidGig is seeking a remote contractor to advance next-generation AI systems by applying real-world domain expertise to training data, evaluations, and feedback. This role focuses on improving how AI models learn, reason, and perform.

You will review outputs, annotate datasets, write clear feedback and rationales, and help test AI performance in realistic scenarios. The engagement is remote and project-based, with flexible hours and collaboration with remote experts.