RemoteMatch
Role Hub

Remote Data Engineering & Analytics Jobs

RemoteMatch helps data professionals find verified remote positions in data warehousing, analytics engineering, and streaming pipelines. Review cloud data architectures and salary bands before applying.

Browse remote data opportunities modeling high-volume transaction feeds, real-time analytics, and modern cloud warehouses.

Relevant skills:PythonSQLdbtSnowflakeETLPostgreSQL

Data & Analytics Listings

Showing 769–792 of 2595 verified active positions

Interactive Match Deck

T ailored Brands is a leading specialty retailer of menswear, including suits, formalwear, sportswear, and a broad selection of business casual offerings. Our brands include Men's Wearhouse, Jos. A. Bank, Moores and K&G Fashion Superstore, which offers merchandise for the entire family. We help people love the way they look and feel for their most important moments by delivering personalized products and services through our convenient network of stores and e-commerce sites. About the Job We currently have an opportunity for a Data Analyst II – Marketing & Customer Analytics to join the Tailored Brands Enterprise Analytics team. The Data Analyst II – Marketing & Customer Analytics will partner closely with Marketing and other business stakeholders on customer and marketing activities. In this role, you will help evaluate performance, analyze customer behavior and acquisition, support testing and measurement, and identify opportunities to attract, retain, and delight customers. You will leverage your skills in data analysis, reporting, and storytelling to deliver quality analytical work that informs business decisions and drives measurable outcomes. Tailored Brands is a collaborative environment where people who are comfortable with ambiguity, curious about the business, and motivated to solve problems with data will thrive. If you enjoy working across business and technical teams, can connect the details to the big picture, and are excited to turn insights into ac

US

Why RTI RTI International is an independent, scientific research institute dedicated to improving the human condition. Our vision is to address the world's most critical problems with technical and science-based solutions in pursuit of a better future. Clients rely on us to answer questions that demand an objective and multidisciplinary approach—one that integrates expertise across social, statistical, data, and laboratory sciences, engineering, and other technical disciplines to solve the world’s most challenging problems. We believe in the promise of science and technical solutions, and we push ourselves every day to deliver on that promise for the good of people, communities, and businesses in the US and around the world. If you are looking for the opportunity to make a real difference, RTI is the place for you. About the Hiring Group Client Technology Operations (CTO) is RTI's client-focused technology organization responsible for delivering and operating the technology platforms, infrastructure, governance, engineering, and digital capabilities that enable RTI to develop, secure, and deliver technology-enabled solutions for clients. This role supports enterprise infrastructure monitoring and data protection across on-premises and cloud environments. You will work with technologies such as SolarWinds and Cohesity to monitor system health and performance, support backup and recovery operations, troubleshoot technical issues, and identify opportunities for automation and pr

US
Full-time

By joining Sedgwick , you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve. Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance Sr. Data Engineer ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources. Serves as a core developer for the Snowflake data platform and supports platform performance, data modeling, and storage structures. Architects and builds transformation pipelines that deliver high-quality data inputs to Snowflake and dbt AI features. Designs and maintains semantic layers and metadata models required to support Self-Service 2.0 natural-language user interfaces. Establishes reference architectures, reusable templates, and CI/CD best practices that enable decentralized line-of-business teams to build data products safely and consistently. Provides direct management and career mentorship to one data engineer, with potential for team growth, and guides decentralized data analysts in maturing their engineering practices. Drives adoption of dbt for data

US

At Logicalis Spain, we want to incorporate a squad of Data Engineers (Junior, Mid, and Senior) with experience in IBM DataStage and Cloud Pak for Data (CP4D). The Logicalis Data, Analytics & AI team works with national and international clients, carrying out major data engineering, artificial intelligence, advanced analytics, data strategy, governance, integration, and architecture projects, covering the entire data lifecycle. TECHNICAL REQUIREMENTS Experience in IBM DataStage and/or Cloud Pak for Data (CP4D). Knowledge of relational databases: Oracle, SQL Server, DB2, among others. Experience in data integration, transformation, and quality. Knowledge of SQL and ETL process optimization. Experience in Unix/Linux environments. Experience in the insurance sector or similar is a plus. Experience in Cloud environments (Azure, AWS, or GCP) and/or modern data platforms (Databricks, Snowflake, dbt, Fabric...) is valued. RESPONSIBILITIES Development, maintenance, and evolution of ETL processes with IBM DataStage and/or Cloud Pak for Data (CP4D). Design and implementation of data integration solutions. Performance optimization and continuous process improvement. Incident resolution and technical support for data platforms. Participation in migration and modernization projects toward cloud environments. BENEFITS > Immediate incorporation into a leading IT sector company with a high degree of expertise in the Data area.

EU/EEA

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are looking to hire a Data Engineer for the Data Engineering team at CrowdStrike. The Data Engineering team operates within the Data Science organization, and provides the necessary pipelines, in

India

Innovation Starts With You Propel your career at Belden, where innovation creates possibilities—for our people, our customers, and the communities we serve. We connect people, information, and ideas to solve the world’s most complex connectivity challenges, turning curiosity into meaningful impact. Here, you’ll take on work that challenges you, supports your growth, and empowers you to shape what’s next. You’ll collaborate with global teams, gain diverse perspectives, and contribute to solutions that extend beyond our business—creating value in the world around us. Together, we are shaping the future of digitization and paving the way for the next generation of innovation. Job Summary We are seeking a skilled SAP Data Migration expert with extensive experience in SAP data migration projects with previous experience on Syniti tools (ADM or ADMM). The ideal candidate will have a strong background in SAP data models and migration processes, coupled with the ability to interact with cross-functional teams, ensure data quality, and deliver on project timelines. Key Responsibilities Participate in end-to-end data migration projects, ensuring alignment with business objectives and SAP implementation strategies. Configure data migration tools including Syniti ADMM and BODS for data extraction, transformation, and loading (ETL) processes, ensuring accurate and efficient data migration. Collaborate with stakeholders to define data mapping and migration requirements, scope, and timeline

US

NVIDIA is seeking an engineering lead to architect and scale the data acquisition infrastructure that powers our foundation models. Starting with code and STEM data for Nemotron, you will build the systems that discover valuable sources, crawl the open web at scale, and deliver reliable, high-quality data to training pipelines. This is a hands-on technical leadership role spanning distributed systems, crawl infrastructure, and third-party data ingestion. You will own the architecture of a unified platform covering source discovery, URL indexing, crawl frontiers, predictive ranking, scheduling, distributed fetching, and ingestion. We have existing infrastructure to build on, and the goal is to bring it to pretraining scale and extend it to additional model families, modalities, and acquisition workflows over time. Along the way, you will lead architecture reviews and critical implementation work, mentor engineers, and help build the team. What you’ll be doing: Work with storage and scaling teams to design scalable frontier storage and queueing systems with high-throughput writes, efficient lookups, deduplication, and scheduling based on data quality, diversity, and freshness. Build a continuous discovery loop that extracts links and feeds new candidates back into the crawl frontier. Develop a shared crawl execution layer that fetches reliably and politely at scale, handling dynamic websites while keeping resource use under control. Build extensible pipelines for open-web, lice

US

Why Work at Rehlko Our work is guided by our purpose: creating an energy-resilient world for a better future. This purpose embodies the legacy we bring, with more than 100 years as the global leader in energy resilience, delivering solutions critical to sustain and improve life. Our teams have the opportunity to provide a critical resource – energy – that ensures safety, security, and independence for people around the world. Our team members are focused on pushing boundaries, continuing to innovate in an ever-changing landscape, and keeping up with the pace required to create solutions for today’s world demands. Our product range includes engines, generators, power conversion, UPS systems, EV components and electrification solutions, microgrid controls and management, and clean energy solutions that serve a broad spectrum of OEM, residential, industrial, and commercial customers. At Rehlko , you have the freedom to identify, create, and deliver solutions – large and small – that help people and communities thrive in the moments that matter. At Rehlko , our team members are the essential energy that powers our organization’s success. We are committed to fostering a safe and sustainable work environment where safety is everyone’s responsibility. We empower every team member to actively participate in our Zero Is Possible safety culture by encouraging open communication, proactively reporting hazards, following protocols, and suggesting improvements. Join us in creating an ener

US
Bright Vision Technologies

SAP Data Conversion Consultant

Full-time

SAP Data Conversion Consultant- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: SAP Data Conversion Consultant Location : 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required : 6+ years Sponsorship : U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced SAP Data Conversion Consultant to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. The ideal candidate will combine strong hands-on experience with SAP LTMC, SLT, LVM, and S/4HANA migration tools with deep understanding of SAP data structures, business processes, and data governance, and will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration. Key Responsibilities Design and execute SAP data migration st

US

The Gecko platform is the core engine of our product experience. To maintain competitiveness and user satisfaction, we must move beyond surface-level metrics to understand the deep correlations between engine performance and real-world user behavior. We currently face challenges with data quality, such as bot contamination in nightly telemetry, which obscures our understanding of true performance trends. A dedicated analyst is required to bridge the gap between engineering telemetry and actionable product strategy, ensuring that leadership has high-fidelity data to prioritize performance guardrails and technical budgets. Engineering Deliverables Automated Dashboards: Create and maintain high-level overview dashboards that translate complex performance data into consumable formats for Product Managers and leadership. Telemetry Gap Analysis: Audit the Gecko codebase to identify missing collection points or "probes" necessary for a complete understanding of the product experience. Data Sanitization Frameworks: Develop methodologies and tools to identify and filter data inconsistencies, specifically focusing on isolating bot traffic and hardware-specific noise from telemetry streams. Behavioral Inference Reports: Deliver deep-dive analyses correlating technical performance shifts (e.g., LCP, eTLD+1) with user-facing pain points and engagement trends. Scope, Skills, and Effort Estimate Scope The analyst will focus exclusively on Gecko engine telemetry across multiple platforms (De

EU/EEA
Full-time

GDPRiS is a part of ParentPay Group , having been acquired in 2024. GDPRiS (aka GDPR in Schools) offers a platform and an advisory service to many thousand schools in the UK around data protection and information security. The data protection adviser is a role within the Customer Service Desk (Customer Success Team). It shares with the Customer Success Team a general responsibility to drive good customer service and customer satisfaction. The Data Protection Advisor’s specific responsibility is to advise customers on data protection matters. This includes providing guidance on routine data protection questions and specific day-to-day challenges. It also involves recommending strategies to utilise the GDPRiS platform and other documentation tools to enhance an organisation’s data protection posture. Key Responsibilities Provide clear, practical, and reliable guidance to customers on day-to-day data protection matters, ensuring advice is actionable and aligned with current regulatory expectations. Support customer success by delivering a high standard of service, contributing to overall customer satisfaction and retention within the Customer Success Team. Deliver defensible advice by: Validating responses where there is uncertainty with senior stakeholders (e.g., Group DPO, Legal Counsel, or experienced colleagues). Applying a cautious and risk-aware approach. Clearly communicating appropriate caveats, including limitations of available information and the non-legal nature of a

Worldwide

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for an analytical, curious, and business-minded Data Scientist Senior 🐶🚀 to join one of our key engagements with a leading beverage company in Mexico. You will be the go-to person for measuring what really works in growth and marketing: designing experiments, estimating causal impact, and turning the results into decisions that drive customer acquisition, retention, and revenue. This role sits at the intersection of statistics, economics, and marketing. You will work closely with marketing, growth, and commercial stakeholders, as well as with Data Engineers and Analytics Engineers, to move beyond correlations and answer questions like "Did this campaign actually cause an increase in sales?" or "Which promotions and channels deserve more budget?". A strong analytical profile, methodological rigor, and the ability to communicate findings to non-technical audiences are essential. A background in Economics (or similar quantitative fields) is highly valued. 🚀 What We Do Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. Developing scalable data infrastructures, we enhance high-level decision-m

Worldwide
Full-time

Who We Are At Trility Consulting ®, we’ve built a strong, remote-work culture where people thrive, grow, and support each other – earning us Great Place to Work® Certification. Headquartered in Central Iowa, we embrace flexible schedules and collaboration across geographically distributed teams serving clients from all corners of the United States and globally. We seek team members with the grit necessary to forge paths where none previously existed, to get back up when circumstances knock them down, to adapt to the changing needs of the client even when it is uncomfortable, and to deliver on our commitments. Candidates must respect and value people, recognize that over-communication is barely good enough, thrive on solving complex problems, have a passion for building teams, and know that delivering what a client actually values is more important than their own predispositions. They understand value proposition, love delivering value, and take pride in learning the expansive and ever-changing business of clients. Candidates are self-motivated and relentlessly working to become more today than they were yesterday. What You Will Do & The Experience You Will Need Trility Consulting is seeking an experienced Senior Data Consultant to support a client engagement focused on modernizing an existing Azure Synapse data platform and migrating prioritized workloads to Microsoft Fabric. In this role, you'll partner with Trility consultants and client engineers to pressure-test and r

US
CareMore Health

Data Engineering Lead

Full-time

Job Description Summary ‎ Owns the design and delivery of enterprise data platform capabilities for assigned domains, acting as the primary technical authority for data engineering architecture and standards. Leads complex data platform initiatives, sets engineering direction, and drives the maturity of data infrastructure across the organization. The IT Data Engineering Lead is a recognized subject-matter expert who operates with minimal supervision and is the primary point of accountability for an area of IT data engineering work. Decisions impact function-wide results. This job proactively addresses undefined problems, makes recommendations that influence functional strategy, and synthesizes input across multiple stakeholder groups. ‎ How will you make an impact & Requirements ‎ Key Responsibilities Lead the design and delivery of enterprise data platform initiatives, setting architectural direction and owning technical quality from design through production. Define engineering standards, data modeling practices, and platform governance frameworks for data engineering. Serve as the primary technical authority for data platform design decisions, advising IT leadership and data architects. Drive data platform modernization and cloud adoption efforts, developing strategic recommendations for senior leadership. Own vendor and tool relationships for core data engineering platforms, managing roadmap alignment and escalations. Identify data architecture gaps, technical debt,

US

Role Overview ConvaTec is building a data function and data governance is central to that build. This is a critical delivery role within it. This role will contribute to making Convatec ’s data findable, traceable and trustworthy. Working with the business the Data Governance Analyst will support core elements of our data governance capability – the business glossary and data catalogue in Microsoft Purview, data lineage and a data quality framework that moves us from finding problems in reports to preventing them at source. Our governance capability is being stood up from the ground up so the candidate will be comfortable establishing new processes and artefacts and equally comfortable with business stakeholders to get them adobted with the support of data leadership. About Role 1. Data Cataloguing and Metadata Management Build, populate and maintain the enterprise business glossary and data catalogue in Microsoft Purview (for example Finance & FP&A, Commerial, CRM, Supply Chain). Adminstor the tooling so catalogue does not decay after go-live. Engage data owners, stewards and subject matter experts to agree and publish common definitions for critical data elements, resolving conflicting versions to a single agreed source, and enforcing the metadata standards that make catalogue entries genuinely usable. 2. Data Lineage Capture and maintain end-to-end lineage for critical data elements across the full pipeline and documented in a form both engineers and business stake

India

The Engineering Manager, Data & AI Platform is responsible for leading teams that build, operate, and evolve Blackbaud ’s enterprise Data & AI platform—the foundation that powers analytics, data products, machine learning, and agent‑based experiences across the company. This role blends people leadership, platform ownership, and technical strategy. You will manage engineers working across modern data and AI infrastructure (Lakehouse, pipelines, feature services, ML enablement, observability, and governance), while ensuring the platform is scalable, secure, cost‑efficient, and product‑oriented. Success in this role requires strong engineering judgment, the ability to operate in ambiguity, and a passion for building platforms that accelerate teams and unlock business outcomes for the nonprofit sector. What You’ll Do Own and evolve core Data & AI platform capabilities, including ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers. Drive platform decisions aligned with Blackbaud ’s Unified Data & AI Platform Strategy (modularity, interoperability, AI‑first design) Partner with Architecture, Governance, and Security to ensure the platform meets trust, compliance, and Responsible AI standards. Balance build vs. buy decisions, prioritizing core competencies while reducing operational complexity. Lead teams to deliver high‑impact platform initiatives aligned to AOP priorities (legacy modernization, cloud migration, cost opt

US
General Dynamics Information Technology

Sr. Healthcare Data Scientist (Medicare/Medicaid)

Full-time

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Data Science and Data Engineering Job Qualifications: Skills: Agentic AI, Big Data, Generative AI, Machine Learning Methods, Python (Programming Language) Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: We are GDIT. We take pride in providing our clients with the data they need to make important decisions that impact the world around us. You make GDIT your place by delivering insights to help our clients make impactful changes real. By owning your opportunity at GDIT, you’ll become a critical part in how we successfully solve our clients’ biggest challenges. Our work is looking for a Sr. Data Scientist with deep experience in advanced analytics and modern AI technologies. In this role, you will help evolve the analytical capabilities used to detect and prevent fraud, waste, and abuse (FWA) in the Medicare and Medicaid programs. This includes working with cutting-edge generative AI models, AI agents, and scalable data science tools. A typical day will include: Analyzing Medicare and Medicaid claims data using statistical and machine learning techniques. Developing generative AI–powered solutions and agent-based systems to enhance fraud detection, investigate complex patterns, and optimize business processes. Building predictive and anomaly detection

US

Why Join GEICO ? At GEICO , we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers. Summary: Under minimal supervision, develops and maintains robust data solutions, reporting frameworks, dashboards, and visualizations that drive business insights and support strategic decision-making. Partners closely with business stakeholders, data engineers, architects, governance teams, and technology partners to translate business requirements into scalable analytical solutions. This role is responsible for leading complex analytical initiatives, overseeing data preparation and governance activities, developing reporting and modeling solutions, and identifying opportunities to improve business performance through data-driven decision making. The position supports a variety of business functions, including Underwriting, Claims, Marketing, Advertising, and Product Management.

US

ABOUT KLED Kled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data. Since launching our mobile app in 2026, we have: • Reached #1 on the App Store (Finance) with 0 paid marketing • Scaled to 600,000+ active data contributors • Processed 5M uploads per day • Raised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more Our mission is to let anyone download the app and earn a real living wage from uploading their data. This listing is for one paid task in the Kled app: "Rental Agreements". There is no interview and no minimum hours: download the app, open the task, and you are paid per accepted submission. What you will do Upload a rental or lease agreement, every page. Then tell us in a few words what it's for. Steps Complete identity verification Find the rental or lease agreement file, the one you signed Upload it from your Files app, every page in order Mark where the main clauses begin Write one paragraph on what the agreement actually does What gets rejected No sample or template agreements Nothing you are contractually barred from sharing Do not copy the agreement's own preamble as your summary Accepted:

Worldwide
Full-time

For more than 170 years, The Hanover has been committed to delivering on our promises and being there when it matters the most. We live our values every day, demonstrating we CARE through our values, Sustainability initiatives and inclusive corporate culture. Our technology team is currently seeking a Senior Data Engineer to join our growing team in our Worcester MA office, or via a remote work arrangement. This is a full-time, exempt position. POSITION OVERVIEW: The Senior Data Engineer will lead a team of developers (internal and vendor resources) for the end-to-end design, development, implementation, and optimization of our enterprise data integration and warehousing solutions. In this role, you will build and maintain robust ETL (Extract, Transform, Load) pipelines, bridge source systems with target analytics platforms, and establish scalable data models. You will work closely with external vendors for supporting data operations, data architects, business analysts, and reporting teams to translate complex business requirements into high-performing technical solutions across Oracle, SQL Server, DB2, and Data lake environments. You will collaborate with business partners to define work priorities and assume a data/tech lead role on cross-functional teams delivering data/reporting solutions. IN THIS ROLE, YOU WILL: Work with external vendors teams for supporting data operations. Proven expertise in designing, implementing, and testing complex data mappings and transformatio

US

ABOUT KLED Kled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data. Since launching our mobile app in 2026, we have: • Reached #1 on the App Store (Finance) with 0 paid marketing • Scaled to 600,000+ active data contributors • Processed 5M uploads per day • Raised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more Our mission is to let anyone download the app and earn a real living wage from uploading their data. This listing is for one paid task in the Kled app: "Professional Domain Explainers". There is no interview and no minimum hours: download the app, open the task, and you are paid per accepted submission. What you will do Explain something from your job that you couldn't just find by searching. At least 300 words. Steps Verify your profession Pick something you understand from doing the job, not from reading about it Write at least 300 words explaining it clearly Include the nuance and exceptions a textbook would skip Submit What gets rejected Do not write about a field you do not work in Do not reproduce textbook content Do not write under 300 words Accepted: At least 300 words, genuinely from yo

Worldwide

ABOUT KLED Kled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data. Since launching our mobile app in 2026, we have: • Reached #1 on the App Store (Finance) with 0 paid marketing • Scaled to 600,000+ active data contributors • Processed 5M uploads per day • Raised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more Our mission is to let anyone download the app and earn a real living wage from uploading their data. This listing is for one paid task in the Kled app: "Fake Trading App Screens". There is no interview and no minimum hours: download the app, open the task, and you are paid per accepted submission. What you will do Screenshot fake trading apps and crypto scams. Include the fake numbers they're showing you. Steps Screenshot the fake platform or message Include any balances or returns being claimed Note the platform and scam type Upload What gets rejected Never deposit money to get a screenshot No legitimate exchange screenshots Do not crop out the claimed returns Accepted: Full screenshot including the interface and any numbers claimed. Pay $0.40 per accepted screenshot. At a typical pace of about

Worldwide

ABOUT KLED Kled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data. Since launching our mobile app in 2026, we have: • Reached #1 on the App Store (Finance) with 0 paid marketing • Scaled to 600,000+ active data contributors • Processed 5M uploads per day • Raised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more Our mission is to let anyone download the app and earn a real living wage from uploading their data. This listing is for one paid task in the Kled app: "Speak in a Less Common Language". There is no interview and no minimum hours: download the app, open the task, and you are paid per accepted submission. What you will do Record yourself speaking your own language. Steps Select your language from the list, or add it Record yourself speaking the prompts, or talking freely Speak naturally in your own dialect Submit What gets rejected Do not record in a language you are learning Do not use a major world language here Do not use text-to-speech Accepted: Native or fluent speech in an under-resourced language, clearly audible. Pay $2.00 per accepted recording. At a typical pace of about 4 minutes per r

Worldwide

ABOUT KLED Kled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data. Since launching our mobile app in 2026, we have: • Reached #1 on the App Store (Finance) with 0 paid marketing • Scaled to 600,000+ active data contributors • Processed 5M uploads per day • Raised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more Our mission is to let anyone download the app and earn a real living wage from uploading their data. This listing is for one paid task in the Kled app: "Capture Your Chores". There is no interview and no minimum hours: download the app, open the task, and you are paid per accepted submission. What you will do Film everyday cleaning (vacuuming, mopping, wiping) with the activity and the room in frame, faces out. Steps Prop or hold the phone so it sees the activity and the room Clean as you normally would Keep faces out of frame Upload the clip What gets rejected Do not film faces Do not cut the clip Do not stage a clean room Pay $1.30 per accepted clip. At a typical pace of about 5 minutes per clip, that is about $16 per hour. A 20-minute session of about 4 clips pays about $5.20. No fixed cap; e

Worldwide
Direct Answers

Frequently Asked Questions: Data & Analytics

Which data stacks are in demand for remote teams?

Modern remote data teams frequently hire for SQL, dbt, Snowflake, Python, and Kafka streaming architectures.

Experience operating production ETL pipelines with automated testing and data observability receives high match weighting.

Explore Other Remote Categories & Locations