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We are looking for computer vision experts to help annotate images and videos for training advanced AI models. This role involves working with diverse visual content to create high-quality training datasets. Responsibilities: • Annotate images and videos with bounding boxes, segmentation masks • Quality control for annotation accuracy • Develop annotation guidelines and standards • Train junior annotators • Collaborate with ML engineers on data requirements Qualifications: • MS/PhD in Computer Vision or related field • Experience with annotation tools (CVAT, Labelbox, etc.) • Strong understanding of object detection and segmentation • Python programming skills • Attention to detail and quality
We are seeking an expert to evaluate and improve our AI models through comprehensive testing and analysis. You will be responsible for designing evaluation frameworks, conducting model assessments, and providing actionable insights for model improvement. Key Responsibilities: • Design and implement evaluation metrics for AI models • Conduct thorough testing of model performance across different scenarios • Analyze model outputs for bias, fairness, and accuracy • Collaborate with ML engineers to implement improvements • Document findings and recommendations Ideal Candidate: • PhD or Masters in Computer Science, ML, or related field • 5+ years experience in AI/ML model evaluation • Strong background in statistical analysis • Experience with evaluation frameworks and metrics • Excellent communication skills
About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data. At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI. C++ AI Training SpecialistJoin Rise Data Labs as a C++ AI Training Specialist, where you will play a crucial role in enhancing the performance of our AI models through meticulous data annotation and validation. This position requires a strong understanding of C++ programming and a passion for AI technology.Key ResponsibilitiesTrain and improve AI models by annotating and labeling data with precision.Review and validate AI-generated content for accuracy and relevancy.Provide domain expertise to enhance the performance of AI models across various sectors.Engage in multiple AI training projects, ensuring that high-quality data is available for machine learning applications.Collaborate with cross-functional teams to identify data needs and optimize training processes.Required Skills and QualificationsStrong proficiency in C++ programming.Experience with data annotation and model training processes.Attention to detail and a commitment to delivering high-quality results.Ability to work independently and as part of a team.Excellent communication skills and a proactive mindset.Preferred QualificationsExperience in AI or machine learning projects.Familiarity with additional programming languages such as Python or Java.Understanding of machine learning algorithms and data processing techniques.What We OfferAt Rise Data Labs, we offer a competitive hourly rate, flexible working hours, and opportunities for professional growth in the rapidly evolving field of AI. Join us and be part of a team that is at the forefront of AI technology!
About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data. At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI. Job OverviewAs an AI Training Implementation Specialist at Rise Data Labs, you will play a critical role in enhancing our AI models through meticulous data annotation and labeling. You will be responsible for reviewing and validating AI-generated content to ensure accuracy and relevance. Your domain expertise will be instrumental in driving the success of various AI training projects across multiple fields, contributing to high-quality data that powers machine learning applications.Key ResponsibilitiesTrain and improve AI models through precise data annotation and labeling.Review and validate AI-generated content for accuracy and compliance with project specifications.Provide domain expertise to enhance AI model performance and reliability.Collaborate with cross-functional teams to ensure alignment with project goals and deliverables.Maintain high standards of quality assurance in data used for machine learning applications.Work on various AI training projects, adapting methodologies to meet diverse client needs.Required Skills and QualificationsBachelor's degree in a relevant field (e.g., Computer Science, Data Science, or a related discipline).Proven experience in data annotation, data labeling, or a related area.Strong attention to detail and commitment to quality assurance.Ability to work independently and collaboratively in a team environment.Excellent analytical skills and problem-solving abilities.Familiarity with AI concepts and machine learning processes is a plus.Preferred QualificationsExperience with specific AI tools and platforms for data annotation.Knowledge of programming languages such as Python or R.Prior experience in a fast-paced, agile work environment.What We OfferAt Rise Data Labs, we foster a collaborative and innovative work environment. We offer competitive compensation, opportunities for professional growth, and the chance to work on cutting-edge AI projects that make a real impact. Join us and be part of a team that values creativity, quality, and excellence.
Help us build the next generation of financial risk assessment AI. You will work with financial data to train and validate AI models for risk prediction and analysis. Key Tasks: • Analyze financial datasets for risk patterns • Label and categorize financial transactions • Validate AI model predictions • Identify edge cases and anomalies • Contribute to model improvement strategies Requirements: • CFA, FRM, or similar financial qualification • 5+ years in financial risk management • Experience with quantitative analysis • Knowledge of regulatory requirements • Strong analytical and communication skills
Join our team as a Medical AI Data Labeling Expert to help train cutting-edge AI systems for healthcare applications. You will work with medical imagery and patient data to create high-quality training datasets. Key Responsibilities: • Label medical images and diagnostic data • Ensure data quality and consistency • Collaborate with medical professionals for validation • Follow strict privacy and compliance guidelines • Contribute to dataset documentation Requirements: • Medical degree (MD) or advanced healthcare qualification • Experience with medical imaging (CT, MRI, X-ray) • Understanding of medical AI applications • Attention to detail and accuracy • HIPAA compliance knowledge