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.
As an AI Training Sound Engineering Specialist at Rise Data Labs, you will play a pivotal role in enhancing AI models through meticulous data annotation and labeling. Your expertise will directly influence the quality and accuracy of AI-generated content, ensuring that our AI systems are trained on high-quality sound data.
At Rise Data Labs, we provide a dynamic work environment that fosters innovation and growth. You will have the opportunity to work on cutting-edge AI projects, collaborate with talented professionals, and enhance your skills in the evolving field of AI and sound engineering.
Ready to contribute your expertise to this project?
You'll be guided through our expert onboarding process
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
We need legal experts to help train our AI systems for legal document analysis. This role involves reviewing, categorizing, and annotating legal documents to create training data for our legal AI platform. Responsibilities: • Review and categorize legal documents • Identify key legal concepts and entities • Annotate contracts and legal texts • Ensure accuracy and legal compliance • Provide feedback on AI model outputs Qualifications: • JD from accredited law school • 3+ years practicing law • Experience with contract review • Understanding of legal AI applications • Strong analytical skills
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