Job highlights
Identified by Google from the original job post
Qualifications
- 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
- 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
Benefits
- 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
Responsibilities
- You will work on a variety of projects that involve labeling data, writing code, and providing feedback to improve the performance of AI models
- 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
Job description
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)