Computer Scientist - AI Training (Freelance, Remote)

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Labelbox

Labelbox

- Full Time

🌎 Remote

Posted on: 23 September, 2024

Computer Scientist - AI Training (Freelance, Remote)

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.

Tags:
ai
ml
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