Alignerr
Alignerr is a community of experts who contribute to the development of AI models by aligning them with their specialized knowledge and high-quality data. The company offers flexible freelance opportunities for individuals to work remotely, aligning AI models for companies around the globe. Alignerr provides a platform for professionals from various disciplines to earn money and enhance their skills by performing tasks related to AI model training and data creation. By participating, contributors help shape the future of generative AI technologies.
Computer Scientist - AI Training
March 19
🇺🇸 United States – Remote
💵 $15 - $60 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
Alignerr
Alignerr is a community of experts who contribute to the development of AI models by aligning them with their specialized knowledge and high-quality data. The company offers flexible freelance opportunities for individuals to work remotely, aligning AI models for companies around the globe. Alignerr provides a platform for professionals from various disciplines to earn money and enhance their skills by performing tasks related to AI model training and data creation. By participating, contributors help shape the future of generative AI technologies.
📋 Description
• 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. • 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.
🎯 Requirements
• 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): 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
• None specified
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