Ai Trainer/Data Annotator - Remote
Role details
Job location
Tech stack
Job description
As a AI Evaluation Specialist, 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., * Review and critically assess AI-generated outputs for quality, clarity, usability, and overall user experience.
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Identify inconsistencies, weaknesses, and improvement opportunities across diverse content types and visual experiences.
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Apply structured evaluation guidelines and provide insightful, nuanced feedback to inform model improvements.
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Collaborate with cross-functional teams to define and refine quality standards, scoring criteria, and review processes.
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Maintain high accuracy and consistency across evaluations, ensuring reliable and actionable results.
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Contribute to the continuous enhancement of evaluation workflows and best practices.
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Support the development of training data that enhances AI system performance and reliability.
Requirements
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Exceptional reading comprehension and acute attention to detail.
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Strong observational skills with excellent aesthetic or editorial judgment.
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Ability to think critically and deliver consistent, high-quality evaluations in ambiguous scenarios.
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Excellent written and verbal communication skills.
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Comfort working across various content types and evaluation guidelines.
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Strong sense of ownership, reliability, and commitment to delivering high-quality work for the customer's team.
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Open-minded approach to learning and quickly adapting to new workflows.
Preferred Qualifications:
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Background in design, UX/UI, creative direction, editing, or content strategy.
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Experience reviewing creative, visual, or AI-generated content.
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Familiarity with annotation, QA, moderation, or evaluation workflows, as well as working with AI tools or LLMs.