AI Trainer & Evaluator
Job Title: AI Trainer & Evaluator
Job Type: Contractor
Location: Remote
Job Summary: 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.
Key Responsibilities:
• Evaluate and score AI-generated responses using well-defined rubrics and metrics across diverse subject areas.
• Annotate and categorize data sets to improve AI model accuracy and reliability.
• Apply keen attention to detail in reviewing content for relevance, coherence, and factual accuracy.
• Provide clear, actionable feedback on AI performance to inform ongoing model improvements.
• Collaborate with the customer's team to interpret guidelines and contribute to rubric refinement.
• Document findings and maintain meticulous records of annotations and evaluations.
• Engage in critical reading and analysis of complex subject matter ranging from business and finance to marketing, healthcare, and legal domains.
Required Skills and Qualifications:
• Exceptional attention to detail and accuracy in data annotation and content evaluation.
• Strong critical reading and analytical skills with the ability to interpret and apply rubrics.
• Proficiency in written and verbal communication; ability to articulate nuanced feedback clearly.
• Bachelor’s degree required.
• Experience in evaluating or scoring large volumes of content against detailed criteria.
• Experience with AI training, machine learning data annotation, or related tasks is highly valued.
• Ability to work independently and collaboratively in a fully remote environment.
Preferred Qualifications:
• Background in business, finance, legal, marketing, healthcare, or research fields.
• Prior experience in AI training, human-in-the-loop systems, or quality assurance of AI-generated content.
• Familiarity with industry-standard annotation tools or AI evaluation platforms.
Job Type: Contractor
Location: Remote
Job Summary: 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.
Key Responsibilities:
• Evaluate and score AI-generated responses using well-defined rubrics and metrics across diverse subject areas.
• Annotate and categorize data sets to improve AI model accuracy and reliability.
• Apply keen attention to detail in reviewing content for relevance, coherence, and factual accuracy.
• Provide clear, actionable feedback on AI performance to inform ongoing model improvements.
• Collaborate with the customer's team to interpret guidelines and contribute to rubric refinement.
• Document findings and maintain meticulous records of annotations and evaluations.
• Engage in critical reading and analysis of complex subject matter ranging from business and finance to marketing, healthcare, and legal domains.
Required Skills and Qualifications:
• Exceptional attention to detail and accuracy in data annotation and content evaluation.
• Strong critical reading and analytical skills with the ability to interpret and apply rubrics.
• Proficiency in written and verbal communication; ability to articulate nuanced feedback clearly.
• Bachelor’s degree required.
• Experience in evaluating or scoring large volumes of content against detailed criteria.
• Experience with AI training, machine learning data annotation, or related tasks is highly valued.
• Ability to work independently and collaboratively in a fully remote environment.
Preferred Qualifications:
• Background in business, finance, legal, marketing, healthcare, or research fields.
• Prior experience in AI training, human-in-the-loop systems, or quality assurance of AI-generated content.
• Familiarity with industry-standard annotation tools or AI evaluation platforms.