Freelance Senior Marketing Specialist
Uber AI Solutions is Uber’s new marketplace connecting freelancers with Generative AI researchers. We’re inviting experienced Marketing professionals to collaborate on a new client project at the frontier of GenAI. This is a freelance, paid, project-based opportunity — flexible, remote, and designed for professionals who want to apply their expertise to help shape how AI supports the marketing industry.
What You’ll Be Doing
As a Marketing Domain Expert, you will be responsible for the following key tasks:
Workflow Definition: Collaborate with our AI and engineering teams to define the most common research-based workflows within Marketing (e.g., brand positioning strategy, campaign planning and execution, consumer segmentation analysis, ROI measurement for marketing spend).Evaluation Creation: Develop and create comprehensive evaluations and test cases to assess the completion of these defined workflows. This includes specifying inputs, expected outputs, and success criteria for tasks such as digital campaign optimization, brand performance tracking, and customer journey mapping.Capability Assessment: Design evaluations to assess the LLM’s ability to handle complex marketing tasks, such as identifying target audiences, generating marketing strategies, analyzing campaign effectiveness, and interpreting market research data.Data Curation & Annotation: Provide guidance on identifying and curating high-quality marketing data and content including consumer insights, campaign case studies, and market benchmarks that are essential for training and fine-tuning the LLM.Feedback & Iteration: Partner with the product team to provide constructive feedback on the LLM’s outputs, highlight gaps, and suggest improvements to ensure outputs align with real-world marketing standards and practices.Project details
Location: Remote (You must be based in the United States)Payout structure: Task-based pay model. Competitive rates per completed task, determined by the complexity and required experience.Type: Freelance / Independent contractor.What We’re Looking For
Domain Expertise: 12+ years of senior-level professional experience in one or more of the following areas:Brand Strategy & Management: Expertise in positioning, brand architecture, storytelling, and measuring brand equity.Digital & Performance Marketing: Expertise in growth strategy, omni-channel planning, campaign optimization, and ROI attribution.Market Research & Consumer Insights: Expertise in customer segmentation, behavioral analytics, and competitive benchmarking.Marketing Leadership: Experience leading cross-functional teams, aligning stakeholders, and scaling global campaigns.Experience Range Understanding: Ability to map workflows across entry-level, mid-level, and executive-level marketing roles to define AI evaluation tasks.Analytical Skills: Strong ability to break down complex marketing workflows into measurable, logical evaluation criteria.Communication: Exceptional skill in articulating marketing processes and strategies to a non-marketing/technical audience.Technical Acumen: Familiarity with AI/ML concepts or prior collaboration with technical/product teams is highly desirable.Attention to Detail: Precision in designing workflows, test cases, and evaluation metrics. Read LessFreelance Senior Insurance Advisor for AI Research
Uber AI Solutions is Uber’s new marketplace connecting freelancers with Generative AI researchers. We are inviting experienced insurance professionals to contribute to a client-led Generative AI initiative focused on insurance claims, and policy evaluation. This is a freelance, paid, project-based opportunity — flexible, remote, and designed for professionals who want to apply their expertise to help shape how AI supports the insurance industry.
Responsibilities
As an Insurance Domain Expert, you will be responsible for the following key tasks:
Workflow Definition: Collaborate with our AI and engineering teams to define the most common research-based workflows within your specific domain (e.g.,Actuaries, Underwriters, Claims Adjusters, or Insurance/Damage Appraisers)Evaluation Creation: Develop and create comprehensive evaluations and test cases to assess the completion of the day to day workflows required in your Domain. This involves specifying model prompts, evaluating prompt outputs, and providing the criteria for success.Capability Assessment: Design evaluations to assess the key capabilities of the LLM in handling complex financial/insurance policy tasks, including data extraction, public guidelines and insurance policies, state rules and regulations.Data Curation & Annotation: Provide guidance on identifying and curating high-quality US Insurance and Claims data and content that is essential for training and fine-tuning the LLM.Feedback & Iteration: Work closely with the product team to provide constructive feedback on the LLM's performance and suggest improvements to enhance its accuracy and relevance.Project details
Location: Remote (only open to professionals based in the United States).Payout structure: Task-based pay model. Competitive rates per completed task, determined by complexity and experience.Type: Freelance / Independent contractor.Key Requirements
Domain Expertise: 12+ years of practical, professional experience in one of the following fields:Claims Leaders (Claims Adjustment): Investigate insurance claims to determine the extent of the insurer's liability and work to find a fair settlement.Licenses to look for: Claims Adjuster License / CPCU / CCP / FCLA / PTCInsurance Claims & Policy Processing Clerks: Handle the administrative work involved in managing claims and policy processingLicenses to look for: AIS / AIDAUnderwriters: Evaluate insurance applications, assess risks, and decide whether to approve coverage and at what priceLicenses to look for: AU / API / CPCUActuaries: Use statistical data and complex financial models to analyze risks, predict future losses, and help determine insurance rates.Licenses to look for: ASA or FSA / ACAS or FCAS / CERA(Note Would focus on Claims Adjusters for a start)Experience: Open to senior, Mid-level and Executive level professionalsAnalytical Skills: Strong analytical and critical thinking abilities to break down complex financial processes into logical, measurable steps.Communication: Excellent communication skills and the ability to articulate complex financial concepts to a non-finance audience.Technical Acumen: A basic understanding of AI, machine learning, or experience working with technical teams is a significant plus.Attention to Detail: Meticulous attention to detail is crucial for creating accurate and robust evaluation criteria.
Read LessFreelance Senior Retail Strategy Consultant for AI Research
Uber AI Solutions is Uber’s new marketplace connecting freelancers with Generative AI researchers. We are inviting experienced retail professionals to contribute to a client-led Generative AI initiative focused on demand forecasting, inventory optimization, pricing strategy, customer experience management, merchandising, or omnichannel sales planning. This is a freelance, paid, project-based opportunity — flexible, remote, and designed for professionals who want to apply their expertise to help shape how AI supports the retail industry.
Responsibilities
Workflow Definition: Collaborate with our AI and engineering teams to define the most common research-based workflows within the retail domain (e.g., demand forecasting, inventory optimization, pricing strategy, customer experience management, merchandising, or omnichannel sales planning).Evaluation Creation: Develop and create comprehensive evaluations and test cases to assess the completion of these defined workflows. This involves specifying inputs (e.g., sales data, customer behavior trends), expected outputs (e.g., optimal pricing, demand projections), and criteria for success.Capability Assessment: Design evaluations to assess the key capabilities of the LLM in handling complex retail tasks, including product categorization, customer segmentation, trend identification, supply chain risk assessment, and competitive benchmarking.Data Curation & Annotation: Provide guidance on identifying and curating high-quality retail data and content (e.g., POS data, SKU-level sales, customer reviews, competitor pricing) that is essential for training and fine-tuning the LLM.Feedback & Iteration: Work closely with the product team to provide constructive feedback on the LLM’s performance and suggest improvements to enhance its accuracy, domain relevance, and business applicability in retail.Project details
Location: Remote (You must be based in the United States)Payout structure: Task-based pay model. Competitive rates per completed task, determined by the complexity and required experience.Type: Freelance / Independent contractor.Key Requirements
Domain Expertise: 12+ years of practical, professional experience in one of the following fields:Merchandising & Category Management: Experience with assortment planning, pricing, promotions, and product lifecycle management.Supply Chain & Operations: Expertise in demand planning, logistics optimization, procurement, and inventory control.E-commerce & Omnichannel Retail: Experience with digital merchandising, customer journey mapping, and online-to-offline sales strategies.Retail Strategy & Consumer Insights: Background in competitive analysis, consumer behavior research, and go-to-market strategy.Store Operations & Customer Experience: Experience with store performance optimization, workforce management, and enhancing in-store experiences.Experience Levels: Open to senior and mid-level, and executive professionals.Analytical Skills: Strong analytical and critical thinking abilities to break down complex retail processes into logical, measurable steps.Communication: Excellent communication skills and the ability to articulate complex retail concepts to a non-retail audience.Technical Acumen: A basic understanding of AI, machine learning, or experience working with technical teams is a significant plus.Attention to Detail: Meticulous attention to detail is crucial for creating accurate and robust evaluation criteria Read Less