e2f helps people and machines communicate naturally regardless of language, content, or culture.

With expertise in data science – and deep roots providing agile translation in 200+ languages and dialects – e2f uniquely provides high-quality linguistic datasets of multilingual speech, text, annotation, and quality data required to help machines understand people.

e2f customers include several of the world’s most successful artificial intelligence (AI) and natural language processing (NLP) deployments.

About the Position:

The AI Prompt Engineer and Fine-Tuner is responsible for optimizing the interactions with AI language models. This role involves crafting effective prompts to elicit desired responses from the model and fine-tuning the model’s responses for specific use cases. The ideal candidate will have a strong understanding of AI language models, natural language processing, and user experience design.

Key Responsibilities:

1. Prompt Engineering:

  • Design and test prompts that effectively guide AI language models to generate accurate, relevant, and coherent responses.
  • Analyze different prompting strategies and their outcomes to continually improve model interactions.

2. Model Fine-Tuning:

  • Customize the model’s responses for specific applications, ensuring they meet user requirements and business objectives.
  • Collaborate with data scientists and engineers to fine-tune the model based on feedback and performance metrics.

3. Quality Assurance:

  • Conduct rigorous testing to identify any biases or inaccuracies in the model’s responses.
  • Implement strategies to mitigate any identified issues, ensuring ethical and responsible use of AI technology.

4. User Experience Design:

  • Work closely with UX designers to ensure that prompts and responses enhance user interaction with the AI model.
  • Develop guidelines and best practices for prompt creation and model interaction.

5. Documentation and Training:

  • Create comprehensive documentation on prompt engineering and fine-tuning processes.
  • Train other team members on best practices and methodologies.

Qualifications:

  • Strong understanding of AI language models, particularly GPT-4 or similar technologies.
  • Experience in natural language processing, machine learning, and data analysis.
  • Excellent problem-solving skills and creativity in prompt design.
  • Strong communication and teamwork abilities.
  • Familiarity with programming languages such as Python is a plus.

 

Desired Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Linguistics, AI, or a related field.
  • Proven experience in the AI and data industry with a focus on natural language processing, machine learning, and data analysis.

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Tagged as: AI/ML, Generative AI, machine learning

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