Prompt Engineering Jobs

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Coin Market Cap Ltd
$105k - $147k estimated
Hong Kong
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AI prompt and quality engineer

Global / Hong Kong / Kuala Lumpur / London / Penang / Singapore / Taipei
CMC /
Contractor /
Remote

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Responsibilities
- Quality Monitoring: Conduct daily quality assurance on AI Chatbot responses through manual sampling and user feedback to assess accuracy, relevance, and naturalness.
- Issue Resolution: Detect response-quality issues promptly; document root causes, propose actionable improvements, and follow through to closure.
- Model Tuning: Collaborate with engineering teams to optimize AI models by participating in data annotation, parameter adjustment, and other enhancement tasks to boost performance and answer quality.
- Data Analysis: Collect and analyze user-conversation data to uncover user needs and pain points, providing data-driven insights for optimization.
- Process Improvement: Refine quality-control workflows to increase efficiency and ensure standardization of QA and tuning processes.

Requirements
1. Technical Skills
- Solid understanding of AI Chatbot mechanisms and quality-evaluation criteria.
- Basic data-analysis skills; proficient in SQL, Excel, and related tools.
- Foundational knowledge of Natural Language Processing (NLP) and Machine Learning.
2. Experience
- 2+ years of relevant experience; prior optimization experience with AI or conversational products is preferred.
- Experience with industry-leading AI Chatbot products is a strong plus.
3. Soft Skills
- Strong communication and collaboration abilities.
- Meticulous, patient, and adept at identifying and solving problems.
- Thrives in a fast-paced environment and demonstrates a strong learning aptitude.
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What is prompt engineering?

Prompt engineering in AI refers to the process of creating and designing effective prompts or inputs for AI language models to generate human-like responses

Prompt engineering is an important technique for improving the quality and relevance of AI-generated outputs, particularly in natural language processing (NLP) tasks such as language translation, text summarization, and question-answering

Prompt engineers in AI are responsible for designing and implementing prompt systems that can generate high-quality outputs

They use a range of techniques such as machine learning, natural language processing, and data analysis to develop and improve prompts that are contextually relevant and effective

Prompt engineers work closely with other AI experts such as machine learning engineers, data scientists, and NLP specialists to ensure that the prompt systems are optimized for accuracy and efficiency

In addition to designing prompts, prompt engineers in AI also analyze and evaluate the performance of prompt systems, using metrics such as accuracy, fluency, and relevance

They use this information to refine and improve the prompt systems over time, ensuring that the AI-generated outputs remain accurate, relevant, and useful for end-users.