AI Model Evaluation Specialist
Required Skills
Tags
Job Description
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
Apply for This Role
Ready to contribute your expertise to this project?
You'll be guided through our expert onboarding process
Details
Similar Opportunities
AI Training Specialist - Python/Typescript Engineer
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 Specialist, you will play a critical role in enhancing the performance of our AI models through meticulous data annotation and labeling. You will leverage your expertise in Python and Typescript to contribute to various AI training projects across different domains, ensuring the highest quality data for machine learning applications.Key ResponsibilitiesTrain and improve AI models through effective data annotation and labeling.Review and validate AI-generated content for accuracy and relevance.Provide domain expertise to enhance the performance and reliability of AI models.Collaborate with cross-functional teams to execute various AI training initiatives.Ensure high-quality data for machine learning applications by adhering to established guidelines and best practices.Required Skills and QualificationsProficiency in Python and Typescript.Strong understanding of machine learning principles and data annotation techniques.Excellent attention to detail and a commitment to quality assurance.Ability to work independently and as part of a team in a fast-paced environment.Preferred QualificationsExperience in AI model training and evaluation.Familiarity with data visualization tools and techniques.Background in a relevant field such as computer science, data science, or artificial intelligence.What We OfferWe provide a dynamic work environment, opportunities for professional growth, and competitive compensation. Join us to be part of innovative projects that shape the future of AI.
Computer Vision Annotation Expert
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
Natural Language Processing Specialist
Join our NLP team to help improve our language models through data curation, evaluation, and fine-tuning. You will work on cutting-edge NLP projects across various domains. Key Responsibilities: • Curate and prepare text datasets for training • Evaluate language model performance • Design and implement NLP evaluation metrics • Conduct error analysis and model debugging • Research and implement state-of-the-art NLP techniques Requirements: • PhD in NLP, Computational Linguistics, or related field • 3+ years experience in NLP research or industry • Strong programming skills in Python • Experience with transformer models and LLMs • Publications in top-tier NLP conferences preferred
AI Training Specialist - STEM Focus
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 Overview We are seeking a dedicated and detail-oriented AI Training Specialist with a strong STEM background to join our team at Rise Data Labs. In this role, you will be instrumental in training and enhancing AI models through effective data annotation and validation processes. You will leverage your domain expertise to ensure the highest quality data for machine learning applications across various projects. Key Responsibilities Train and improve AI models through accurate data annotation and labeling. Review and validate AI-generated content for accuracy and relevance. Provide domain expertise to enhance AI model performance and reliability. Collaborate on various AI training projects across diverse fields. Maintain high standards of data quality and contribute to quality assurance processes. Required Skills and Qualifications Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Mathematics). Strong analytical skills with a keen attention to detail. Experience in data annotation, machine learning, or AI model training. Proficient in using data annotation tools and software. Excellent communication skills, both written and verbal. Preferred Qualifications Advanced degree in a relevant STEM field. Familiarity with programming languages such as Python or R. Experience working with AI and machine learning frameworks. Previous experience in a quality assurance role. What We Offer At Rise Data Labs, we value our employees and strive to create a positive work environment. We offer competitive compensation, flexible work hours, and opportunities for professional growth and development. Join us and be part of a dynamic team dedicated to pushing the boundaries of AI and data innovation.
Legal Document Analysis for AI Training
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
C++ AI Training Specialist
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!