Description

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.

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