Computer Scientist - AI Training (Freelance, Remote) ID - 1693

The role involves labeling data, writing code, and providing feedback to enhance AI model performance. Responsibilities include annotating datasets, evaluating code, contributing to model training, and collaborating with AI professionals and data scientists.

Summary Generated by Built In

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.

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  • 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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