Data Scientist for AI Model Improvement
3 days ago
Job Overview:
We are seeking a highly skilled Data Scientist to participate in the improvement of our large language models. The ideal candidate will have experience in data analysis, machine learning, and software development.
About PeopleGene:
PeopleGene is a technology-driven company that utilizes AI to understand human behavior and preferences.
Role Description:
The successful candidate will be responsible for providing high-quality feedback on AI-generated responses, identifying areas for improvement, and suggesting strategies for refining model accuracy and relevance.
Key Responsibilities:
- Collaborate with data scientists and machine learning engineers to integrate human feedback into model training.
- Develop insights into systematically collecting and incorporating human feedback, suggesting improvements for model refinement.
- Document workflows, processes, and best practices for providing human feedback.
- Stay up-to-date with advancements in AI, machine learning, and human-computer interaction to enhance model improvement strategies.
Required Skills and Qualifications:
To succeed in this role, you will need:
- A strong background in data analysis, machine learning, and software development.
- Familiarity with core AI concepts, particularly reinforcement learning.
- Experience with human-computer interaction, user feedback systems, or related domains.
- Proficiency in version control (e.g., Git) and CI/CD pipelines.
- Strong analytical skills to evaluate AI tasks and improve their efficiency.
- Bachelor's degree in Computer Science, Engineering, or a related field.
Benefits and Salary:
This role offers a competitive salary range of $120,000 - $150,000 per year, depending on location and experience.
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