Beacon Offshore Ltd. Hiring! Part Time AI Evaluation Specialist - AI Model Evaluator - AI Quality Analyst in - Ricebowl

We are a growing digital technology and artificial intelligence solutions team focused on AI model evaluation, quality assurance, performance monitoring, and responsible AI development.

Our team collaborates with business partners across digital commerce, online platforms, and technology-driven industries to support AI system testing, model performance evaluation, data quality assessment, and continuous improvement initiatives.

We offer flexible remote opportunities for motivated individuals interested in artificial intelligence evaluation, AI quality analysis, model testing, and digital technology operations, depending on the responsibilities and requirements of each position.

Our working environment encourages collaboration, continuous learning, innovation, and professional growth. We provide structured onboarding, practical guidance, and ongoing support to help team members develop their technical and analytical skills and contribute to reliable AI solutions.

• Strong written and verbal communication and interpersonal skills.
• Good analytical thinking, critical reasoning, and problem-solving abilities.
• Interest in artificial intelligence, machine learning, AI evaluation, and quality assurance.
• Ability to review AI-generated outputs, identify inaccuracies, and assess model performance against established evaluation criteria.
• Familiarity with AI platforms, spreadsheets, data analysis tools, and online collaboration systems.
• Strong attention to detail and ability to maintain accurate evaluation records, testing documentation, and quality reports.
• Ability to support AI model testing, response evaluation, data validation, and quality improvement activities.
• Good organisational and time-management skills with the ability to manage multiple responsibilities effectively.
• Understanding of large language models (LLMs), prompt engineering, model evaluation metrics, and AI testing methodologies is an advantage.
• Ability to identify inconsistencies, potential biases, and quality issues in AI-generated content.
• Familiarity with evaluation methods such as accuracy assessment, human evaluation, benchmark testing, and error analysis is advantageous.
• Ability to work independently and collaborate effectively with remote and cross-functional teams.
• Previous experience in quality assurance, data analysis, AI testing, content evaluation, software testing, or digital operations is advantageous.
• Relevant qualifications in computer science, artificial intelligence, data science, information technology, mathematics, or related fields are preferred.
• Entry-level applicants with strong analytical abilities and an interest in AI evaluation may be considered for suitable support-level responsibilities.
• Experience in AI model assessment, evaluation framework development, and performance benchmarking is preferred for specialist positions.
• Self-motivated, responsible, adaptable, and comfortable working in a flexible remote environment where applicable.