AI Training Lead - Remote Data QA & Evaluation

YO IT Consulting; United States; On-site; USD 82,656 - 123,984; Part time

Job summary

YO IT Consulting seeks an AI Trainer Lead for a remote, contract-based role. You will guide data annotation and evaluation to shape model learning, with emphasis on accuracy, relevance, and transparency. The position requires strong communication and meticulous review across diverse domains.

Responsibilities include scoring AI outputs, refining rubrics, and delivering actionable feedback to improve model performance. Remote collaboration with client teams will be essential to success.

Qualifications

• Bachelor's degree is required.
• Experience evaluating large volumes of content against detailed criteria.
• Experience in AI training or data annotation is highly valued.
• Ability to work independently and remotely.

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.

Skills

Attention to detail

Critical reading

Strong communication

AI training experience

Content evaluation

Remote collaboration

Education

Bachelor's degree

Job description

YO IT Consulting seeks an AI Trainer Lead for a remote, contract-based role. You will guide data annotation and evaluation to shape model learning, with emphasis on accuracy, relevance, and transparency. The position requires strong communication and meticulous review across diverse domains.

Responsibilities include scoring AI outputs, refining rubrics, and delivering actionable feedback to improve model performance. Remote collaboration with client teams will be essential to success.