Computer Scientist - AI Training (Freelance, Remote)

Overview

You will work on a variety of projects that involve labeling data, writing code, and providing feedback to improve the performance of AI models. Your contributions will directly impact the development of cutting-edge AI technology.

In Short

• Data Labeling: Annotate and label datasets for various AI tasks such as natural language processing, computer vision, and more.
• Code Evaluation & Debugging: Analyze and assess code snippets generated by AI models, identifying errors and providing feedback for improvement.
• Model Training: Contribute to the training of AI models by providing high-quality labeled data and feedback on model performance.
• Collaboration: Work independently and as part of a team with other AI professionals, data scientists, and engineers.

Requirements

• Strong understanding of fundamental programming concepts.
• Proficient in at least one programming language (e.g., Python, Java, C++).
• Familiarity with data structures and algorithms.
• Basic understanding of machine learning concepts is a plus.
• Experience with software development methodologies (e.g., Agile).
• Working knowledge of multiple programming languages.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience building and deploying machine learning models.
• Expertise in advanced machine learning techniques (e.g., deep learning, reinforcement learning, NLP).
• Excellent communication skills for explaining complex technical concepts.

Benefits

• Pay parity across the organization.
• Transparent compensation discussions.
• Flexible working environment.
• Opportunity to work on cutting-edge AI technology.