Remote opportunity for experienced finance, accounting, and bookkeeping professionals to support AI training projects involving financial analysis, reporting, reconciliations, accounting workflows, and advisory support.
AI Trainer & Evaluator
Remote (Global)
$20 – $40/hr
June 17, 2026
Job description
Job Summary
As an AI Trainer & Evaluator, you will help train and improve next-generation AI systems by evaluating model outputs, annotating data, applying scoring rubrics, and providing detailed feedback that improves model performance.
This role focuses on content evaluation, data annotation, quality assessment, and rubric-based review across a variety of domains including business, finance, healthcare, legal, marketing, and research-related topics.
Key Responsibilities
AI Evaluation & Scoring
- Evaluate AI-generated responses using predefined rubrics and quality metrics
- Score outputs across diverse subject areas and task types
- Assess content for accuracy, relevance, completeness, coherence, and instruction following
Data Annotation
- Annotate and categorize datasets used for AI training
- Apply evaluation guidelines consistently across large volumes of content
- Maintain high-quality standards throughout the annotation process
Quality Review
- Review content with strong attention to detail
- Identify errors, inconsistencies, factual inaccuracies, and quality issues
- Ensure outputs meet project requirements and evaluation standards
Feedback & Analysis
- Provide clear and actionable feedback on AI performance
- Explain evaluation decisions using established rubrics
- Support continuous model improvement through structured analysis
Documentation & Collaboration
- Maintain accurate records of evaluations and annotations
- Document findings and review outcomes
- Collaborate with project teams to interpret guidelines and refine scoring rubrics
Domain Evaluation
- Engage with content covering business, finance, marketing, healthcare, legal topics, and research subjects
- Apply critical reading and analytical reasoning to complex material
Required Qualifications
- Exceptional attention to detail
- Strong critical reading and analytical thinking abilities
- Experience applying detailed rubrics and evaluation criteria
- Excellent written and verbal communication skills
- Bachelor's degree required
- Experience evaluating or scoring large volumes of content
- Ability to provide clear, nuanced, and actionable feedback
- Ability to work independently in a remote environment
Preferred Qualifications
- Experience with AI training, machine learning data annotation, human-in-the-loop systems, or content quality assurance
- Background in business, finance, healthcare, legal, marketing, or research
- Familiarity with annotation tools, AI evaluation platforms, or quality review systems
About the Opportunity
This role offers an opportunity to contribute directly to the development of advanced AI systems through evaluation, annotation, and quality assessment work that improves model accuracy, reliability, and performance.
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