Remote Data Jobs · US

• Analyze user behavior, marketplace dynamics, and service provider performance to identify growth opportunities and areas for improvement.
• Develop predictive models to enhance marketplace matching (e.g., home repair service providers to customers), pricing optimization, and user retention strategies.
• Work cross-functionally to provide data-driven insights for feature enhancements, platform updates, and A/B testing initiatives.

Angi connects homeowners with reliable pros who have the skills they need, and connects pros with homeowners who have the jobs they want. Angi has 2,800 employees worldwide and is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit.

• Data collection, evaluation, and annotation.
• Pairwise comparisons.
• Object tagging and labeling across different content types (audio, video, images, or collected data)

RWS TrainAI focuses on improving AI-generated content. They embrace DEI and are an equal opportunity employer committed to providing a work environment free of discrimination and harassment.

• Define technical strategy & architecture for data curriculum pipelines powering next-gen foundation models.
• Design & execute dynamic curriculum learning strategies, improving model stability & reasoning.
• Engineer logic for serializing Reddit’s complex conversational trees into optimal training contexts.

Reddit is a community-driven platform where users submit, vote, and comment on what interests them. With over 100,000 active communities and 116 million daily active users, they foster open conversations and shared interests.

• Lead end-to-end delivery of finance data models that support reconciliations, journal entry preparation, and close workflows.
• Own the Financial Reporting semantic layer strategy and execution, including definition governance and adoption across reporting surfaces.
• Establish strong analytics engineering practices across the stack (testing, documentation and glossary stewardship, monitoring/alerting, code review, release discipline, and operational ownership).

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with a pay structure based on location, experience, and job-related skills.

• Manually curate data in web-based GIS editing platform.
• Process spatial data within established processing pipelines.
• Conduct quality control checks on spatial data for accuracy.

onX is a pioneer in digital outdoor navigation with a suite of apps, founded in Montana. With more than 400 employees across the country working in largely remote / hybrid roles, they have created regional “Basecamps” to help remote employees connect and find inspiration.

• Lead the onboarding, validation, and documentation of new partner data sources and integrations.
• Translate business and partner requirements into clear, actionable technical specifications.
• Evolve data ingestion frameworks to support faster and more accurate onboarding of new partners.

Forbes Advisor's mission is to help readers turn their aspirations into reality by providing trusted advice and guidance for informed decisions. The team has decades of experience across Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales.

• Collaborate with cross-functional teams and business units to understand and communicate Ion’s needs and goals.
• Develop, improve, and maintain robust data pipelines for extracting and transforming data from log files and event streams.
• Design models and algorithms to derive insights and metrics from large datasets.

Intuitive is a global leader in robotic-assisted surgery and minimally invasive care. Their technologies, like the da Vinci surgical system and Ion, have transformed how care is delivered for millions of patients worldwide. They are a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human.

• Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
• Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
• Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.

• Data collection, evaluation, and annotation.
• Pairwise comparisons.
• Object tagging and labeling across different content types.

RWS TrainAI focuses on improving AI-generated content. They embrace DEI and equal opportunity, committed to a discrimination-free work environment where employment decisions are based on business needs and qualifications.