AI Trainer & Evaluator

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.