About the Role:
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.
We are seeking talented individuals across three experience levels:
Level 1 (Bachelor's Level):
- 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.
Level 2 (Master's Level):
- In addition to Level 1 requirements, 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.
Level 3 (PhD Level):
- Expertise in advanced machine learning techniques (e.g., deep learning, reinforcement learning, NLP).
- Strong research background in AI/ML, evidenced by publications or projects.
- Ability to design and implement novel algorithms and models.
- Excellent communication skills for explaining complex technical concepts.
Your Day to Day:
- 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.