Job Description
Job Title:
AI Trainer Lead
Job Type:
Contract
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.
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AI Trainer Lead - Remote in Amsterdam werkgever: YO IT Consulting
YO IT Consulting biedt een stimulerende werkomgeving waar kwaliteit en samenwerking centraal staan. Als Java Quality Assurance Lead krijg je de kans om je expertise in te zetten voor innovatieve AI-projecten, terwijl je ook bijdraagt aan de groei en ontwikkeling van teamleden door middel van mentorship. Met flexibele werkuren en een focus op professionele ontwikkeling, is dit een uitstekende plek voor iedereen die betekenisvol en uitdagend werk zoekt.
