Top Remote Jobs in Los Angeles, CA

The Senior Operational Risk Manager will develop and implement a global risk management program, focusing on risk assessments, internal controls, and incident management. Responsibilities include collaborating with stakeholders to identify and mitigate risks, enhancing control measures, and creating data-driven risk reports for senior management.

The Sales Executive will drive growth by leveraging consultative selling skills, building relationships with financial advisors, and maintaining accurate sales records. The role requires a deep understanding of the Altruist platform and active collaboration with the sales team to meet individual and team quotas.

As a Trading Educator, you will create educational content on options trading and event contracts, develop structured curricula, lead educational sessions, and collaborate with experts to enhance our trading education offerings. You will stay updated on trading trends to ensure content relevance.

The Director of Business Development is responsible for driving bookings and increasing client relationships, training and mentoring team members, evaluating opportunities, developing strategies for proposals, and overseeing client account plans. Additional responsibilities include identifying industry trends, managing site networks, and ensuring compliance with regulatory standards.

The Account Executive will build and close a pipeline of new and existing accounts within the Private Capital CRM business, collaborating with marketing and customer success teams, managing sales forecasts, and ensuring consistent over quota performance.

Outlier is seeking experienced software engineers to assist in training AI models by crafting computer science questions and evaluating AI-generated code. This freelance, remote opportunity offers flexible hours, paying around $50 per hour based on expertise and project needs.

The Machine Learning Engineer at Ritual will automate Data ETL pipelines, deploy machine learning models, and develop customer-facing products. Responsibilities include scaling up model inference, connecting ML models to human interfaces, and designing large-scale data and ML pipelines while collaborating with cross-functional teams to innovate AI products.