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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.

 

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Pay Range (rate per hour)

$15 - $150 USD

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