Role Description Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves: - Generate prompts that challenge AI; - Evaluate AI-generated solutions for correctness, assumptions, and logic; - Improve AI reasoning to align with first principles and accepted standards; - Apply structured scoring criteria to assess multi-step problem solving. Qualifications - Degree in law (Bachelor, J.D., LLM, FLLM) within the US context - 2+ years of legal practice experience within US jurisdiction - Strong written English (C1/C2) - Stable internet connection Requirements This opportunity is a good fit for legal consultants, attorneys with experience in US law open to part-time, non-permanent projects. Benefits - Earn up to $75 per hour equivalent, depending on level and pace of contribution. - Compensation varies across projects depending on scope, complexity, and required expertise. - Other projects on the platform may offer different earning levels based on their requirements. Company Description Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations: - Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. - This is an estimate, not a guaranteed workload, and applies only while the project is active.

Role Description Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. While each project involves unique tasks, contributors may: - Generate prompts that challenge AI; - Evaluate AI-generated solutions for correctness, assumptions, and logic; - Improve AI reasoning to align with first principles and accepted standards; - Apply structured scoring criteria to assess multi-step problem solving. Qualifications - Degree in law (Bachelor, J.D., LLM, FLLM) within the US context - 2+ years of legal practice experience within US jurisdiction - Strong written English (C1/C2) - Stable internet connection Requirements This opportunity is a good fit for legal consultants, attorneys with experience in US law open to part-time, non-permanent projects. Benefits - Earn up to $75 per hour equivalent, depending on level and pace of contribution. - Compensation varies across projects depending on scope, complexity, and required expertise. - Note that other projects on the platform may offer different earning levels based on their requirements. Company Description Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

• Develop and define the enterprise Innovation & AI communications strategy in partnership with the Head of Innovation and drive execution across the organization. • Create and deliver high-impact presentations for prospective, new, and existing clients, consultants, partners, internal associates, senior leaders, and Executive Leadership. • Represent the organization as a keynote speaker at conferences, panels, client meetings, finalist presentations, roadshows, webinars, and internal events, and manage associated budgets. • Develop clear, compelling messaging that communicates the value, relevance, and responsible use of AI, generative AI, innovation, and emerging technology initiatives. • Translate complex technical concepts into business-focused narratives aligned to client value, customer experience, associate productivity, operational efficiency, and risk management. • Create and execute communication plans supporting major AI, innovation, and emerging technology initiatives, including roadshows and internal enablement efforts. • Develop, edit, and manage content through established approval processes in a highly regulated environment, including presentations, whitepapers, talking points, FAQs, RFP responses, client-ready narratives, demo scripts, and thought leadership materials. • Partner with Innovation, AI, Technology, Product, Marketing, Sales, Legal, Compliance, Risk, Corporate Communications, and business leaders to ensure messaging accuracy, alignment, and approval. • Support RFPs, client due diligence, consultant inquiries, and finalist presentations related to AI, innovation, responsible AI, and digital capabilities. • Build and maintain a centralized library of approved messaging, presentation assets, use cases, proof points, demos, and executive-ready materials. • Manage the speaking engagement pipeline, including intake, prioritization, content development, approvals, speaker preparation, scheduling, and follow-up. • Coordinate logistics for presentations and speaking engagements, including venue setup, audio/visual needs, connectivity, materials, attendance, and supplies. • Monitor industry trends, emerging technologies, regulatory considerations, client needs, and competitive activity related to AI and innovation. • Recommend and implement updates to messaging, presentations, and enablement materials based on evolving business needs and technology capabilities. • Experiment with innovative storytelling formats, including interactive demos, video, synthetic media, webinars, podcasts, digital experiences, and innovation showcases. • Perform other duties as assigned.

Role Description We are looking for an experienced Lead AI/ML Engineer to solve complex business and operational challenges using advanced Machine Learning and Artificial Intelligence technologies. This role requires a strong combination of technical expertise, business understanding, and hands-on problem-solving capabilities to build scalable AI-driven solutions that create measurable business impact. - Design, develop, and deploy Machine Learning and AI solutions using Python and modern AI frameworks - Collaborate with product managers, engineers, and stakeholders to understand business problems and translate them into AI-driven solutions - Apply ML/AI algorithms across areas such as: - Classification - Prediction - Correlation analysis - Root Cause Analysis (RCA) - Anomaly detection - NLP/NLU - Build and optimize data pipelines for data collection, preparation, cleansing, transformation, and analysis - Work with structured and unstructured datasets to derive actionable insights and business recommendations - Develop prototypes, proof-of-concepts, and scalable AI products - Implement and optimize Neural Networks, Deep Learning models, and statistical algorithms - Work with social media and external data sources including Twitter, Reddit, Instagram, Facebook, and similar platforms - Deliver predictive insights, automation solutions, and measurable business outcomes - Mentor and guide engineering teams on AI/ML best practices and implementation approaches - Contribute to architecture discussions, experimentation frameworks, and model deployment strategies Qualifications - 10+ years of hands-on experience in Data Science, Machine Learning, and Artificial Intelligence - Strong expertise in ML algorithms such as: - Linear Regression - Logistic Regression - Decision Trees - Random Forests - K-Nearest Neighbors - Neural Networks - NLP/NLU models - 5+ years of experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and SparkML - 4+ years of strong programming experience in Python, R, Scala, Go, or similar languages - Experience with data processing, analytics, and visualization tools - Hands-on experience with Git and source control systems - Strong understanding of model development, evaluation, optimization, and deployment - Ability to translate business requirements into scalable AI solutions Requirements - Experience with Prompt Engineering and Retrieval-Augmented Generation (RAG) systems - Experience deploying AI/ML workloads on Kubernetes and containerized environments using Docker - Exposure to LLMs and Generative AI applications - Experience with AWS AI/ML services such as: - SageMaker - Comprehend - Lex - Rekognition - Transcribe - Lambda - EKS - S3 - Experience troubleshooting production AI/ML systems - Familiarity with CI/CD tools such as Jenkins and GitLab - Understanding of microservices architecture and scalable AI infrastructure Preferred Skills - Machine Learning - Data Science - Artificial Intelligence - NLP/NLU - Python - TensorFlow - PyTorch - SparkML - Kubernetes - Docker - AWS AI Services - Generative AI - RAG Systems