AI Evaluation Specialist

micro1; United States; Remote; AUD 70,000 - 110,000; Full time

Job summary

micro1 is seeking an AI Evaluation Specialist to assess AI outputs for an enterprise training initiative. You will evaluate responses against rubrics, provide concise feedback, and help refine evaluation criteria to improve model quality. Remote contractor role with emphasis on independence and attention to detail.

You will analyze large volumes of examples, identify gaps, and document findings to influence model refinement and AI adoption best practices.

Qualifications

• Experience in grading, QA, editorial review, assessment, annotation, or similar fields requiring careful analysis and detailed feedback.
• Advanced daily use of AI assistants (ChatGPT, Claude, etc.) as a core productivity tool.
• Ability to synthesize complex information and communicate findings clearly in writing.
• Background in process improvement, rubric development, or operational quality assessment in enterprise/education contexts.
• Strong critical thinking with focus on consistency, integrity, and fairness in evaluations.
• Comfort working independently on large volumes of similar examples with high attention to detail.
• Collaborative mindset for sharing insights and refining evaluation criteria as models evolve.

Responsibilities

• Evaluate AI-generated outputs against rubrics and quality standards focusing on accuracy, relevance, and guidelines adherence.
• Apply impartial judgment across a high volume of examples ensuring a fair assessment process.
• Identify reasoning gaps, tool-use failures, or logic errors and provide actionable feedback for model improvement.
• Produce clear written feedback highlighting strengths and areas for improvement.
• Participate in discussions on rubric interpretation and evolving quality standards.
• Maintain meticulous documentation of evaluations and recommendations for transparency and traceability.

Skills

Grading & QA feedback

Daily AI assistant use

Synthesis & writing

Process improvement

Collaborative dispute resolution

Independent work on large volumes

Evaluation criteria refinement

Job description

Role Title: AI Evaluation Specialist

Role Type: Contractor

Location: Remote (US, CA, UK, IE, AU, NZ)

micro1 is engaging AI Evaluation Specialists to assess and elevate the quality of AI assistant outputs for an enterprise AI training initiative. 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.

Scope of Work

Evaluate AI-generated outputs against detailed rubrics and defined quality standards, focusing on accuracy, relevance, and adherence to guidelines. Apply consistent, impartial judgment across a high volume of examples, ensuring a fair and reliable assessment process. Identify reasoning gaps, tool-use failures, or logic errors in AI assistant responses, providing actionable feedback for iterative improvement. Produce clear, concise written feedback on both strengths and areas for improvement, directly influencing model refinement and AI adoption practices. Participate in discussions regarding rubric interpretation and evolving quality standards, contributing to process optimization and best practices. Maintain meticulous documentation of evaluations and recommendations, ensuring transparency and traceability in assessment workflows.

Preferred Qualifications

Experience in grading, quality assurance, editorial review, assessment, annotation, or similar fields demanding careful analysis and detailed feedback.

Advanced, daily use of AI assistants (such as ChatGPT, Claude, or similar) as an essential work and productivity tool.

Demonstrated ability to synthesize complex information and communicate findings effectively in writing.

Background in process improvement, rubric development, or operational quality assessment in an enterprise or educational context.

Strong critical thinking skills with a focus on consistency, integrity, and fairness in evaluations.

Comfort working independently on large volumes of similar examples while maintaining high attention to detail.

Collaborative mindset for sharing insights, discussing ambiguous cases, and refining evaluation criteria as models evolve.

Originally posted on Himalayas