AI Training Python Coding Specialist

Role overview Improve AI systems by producing and validating high-quality training data, using Python expertise to assess coding-related material and model outputs. The work includes annotation, critique, and feedback across projects in multiple domains, with a strong emphasis on accuracy and effective quality assurance.

Responsibilities - Annotate and label data to support AI model training and refinement. - Review AI-generated content and assess its accuracy and relevance. - Provide domain-informed feedback to help improve model performance. - Contribute to training projects across a range of subject areas. - Help ensure data is reliable and suitable for machine learning applications.

Requirements - Proficiency in Python, including a solid understanding of data structures and algorithms. - Experience with data annotation, labeling, or related work. - Strong attention to detail and commitment to quality assurance. - Ability to critique AI-generated content effectively. - Analytical and problem-solving skills.

Nice to have - Experience with machine learning frameworks such as TensorFlow or PyTorch. - Familiarity with data management tools and databases. - Background in AI, machine learning, or data science.

Benefits and work setup The role provides a supportive work environment and opportunities to develop skills while contributing to AI projects. No specific compensation or schedule details are provided.