Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
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.
Alignerr 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.
This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations.
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