Remote Data Engineering & Analytics Jobs

SMS Data Collection Participant - English (Nigeria) Rate: $1.50 USD per qualified message Location: Remote: Participants must be based in Nigeria Schedule: Flexible Project type: Short-term/project-based Device requirement(s): You must use your own mobile phone and Nigeria phone number The Project Productive Playhouse is seeking English-speaking participants for a mobile messaging data collection project. Participants will submit authentic scam and spam SMS messages received on their personal mobile phones to help improve technology designed to identify fraudulent and unwanted communications. This is a flexible, remote opportunity. Participants may submit eligible messages whenever they receive them, provided all submissions meet project requirements.. Your contributions will support the development of tools designed to make mobile messaging safer for users around the world. Why Participate? Earn $1.50 USD for each qualified message you submit Participate remotely on a flexible schedule Help improve scam-detection technology by showing how real messages appear in English . Duties Submit authentic SMS messages that meet project guidelines Identify each message as either Scam or Spam Categorize submissions according to the appropriate message type Ensure all submissions are complete, accurate, and meet quality standards Follow all project instructions and submission requirements Please note: Messages collected from email or other platforms are not eligible. Submissions must be

SMS Data Collection Participant - Vietnamese (Vietnam) Rate: $1.50 USD per qualified message Location: Remote: Participants must be based in Vietnam Schedule: Flexible Project type: Short-term/project-based Device requirement(s): You must use your own mobile phone and Vietnam phone number The Project Productive Playhouse is seeking Vietnamese-speaking participants for a mobile messaging data collection project. Participants will submit authentic scam and spam SMS messages received on their personal mobile phones to help improve technology designed to identify fraudulent and unwanted communications. This is a flexible, remote opportunity. Participants may submit eligible messages whenever they receive them, provided all submissions meet project requirements.. Your contributions will support the development of tools designed to make mobile messaging safer for users around the world. Why Participate? Earn $1.50 USD for each qualified message you submit Participate remotely on a flexible schedule Help improve scam-detection technology by showing how real messages appear in Vietnamese . Duties Submit authentic SMS messages that meet project guidelines Identify each message as either Scam or Spam Categorize submissions according to the appropriate message type Ensure all submissions are complete, accurate, and meet quality standards Follow all project instructions and submission requirements Please note: Messages collected from email or other platforms are not eligible. Submissions

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Senior Data Analytics Engineer Purpose As part of the Telefonica Tech Data Office, the Senior Data Analytics Engineer is responsible for designing, building, and continuously improving analytics data products across the full platform lifecycle. This role requires both soft skills and technical capability to translate business requirements into production-grade data models and reports, and ensures the business obtains value from the work delivered. As a senior member of the team, this role also carries responsibility for leading a small group of engineers — setting direction, growing capability, and fostering a culture of quality and collaboration. Equally important is the ability to build trusted relationships with business stakeholders, communicate clearly across technical and non-technical audiences, and represent the data platform as a reliable partner to the wider organisation. Responsibilities Technical Delivery Design and build ingestion pipelines across a variety of sources using ADF and Databricks orchestration patterns. Build and optimise data transformations in Databricks, including fact/dimension modelling for data marts. Implement metadata-driven engineering practices that use platform contracts and orchestration metadata to improve consistency, reusability, and scale. Partner with data product owners and reporting teams to evolve semantic models and ensure curated data aligns with reporting requirements. Support CI/CD delivery across environments, and participate

Servus, we are QUIO. Finally, we get to meet in person. Do you get lost in video content and manage to find relevant patterns even in the largest sea of data? Are numbers, trends, and anomalies so fascinating to you that you dive deep until you discover the golden content section? Exciting, so do we. And not just that. We create the best value-driven content on social media with speakers like Tony Robbins, Wim Hof, Gary Vee, and Tobias Beck, ensuring high reach and a great image for brands such as: "Greator", "Finanzfluss" (the largest financial YouTube channel in the German-speaking region), "Meet Your Master" with speakers like Anke Engelke, Sebastian Fitzek & Oliver Kahn, "RTL+", "Younity", "LoveLifePassport", "Silke Schäfer", "Robert Marc Lehmann", "Rene Borbonus", "Ten More In" by Lea-Sophie Cramer, "Jürgen Höller", "BIKE24", "Liebscher & Bracht", and many more.

Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Requirements And Skills Proven working experience as a Data Analyst or Business Data Analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statist

A world-leading inspection, verification, analysis, training, and certification company is seeking a professional Civil Computer Engineer, Industrial Civil Engineer, Data Engineer, or related degree for the position of Management Engineer. Remote work modality. Purpose of the role: - Design, develop, and implement digital and analytical solutions based on the Microsoft Power Platform, using tools such as Microsoft Power Apps, Microsoft Dataverse, Microsoft Power Automate, and Microsoft Power BI, with the purpose of optimizing processes, automating operations, and transforming data into relevant information for decision-making. - The position aims to integrate applications, data, and analytics, ensuring scalable, secure, and business-oriented solutions that drive operational efficiency and value generation in the organization. Requirements: Civil Computer Engineer, Industrial Civil Engineer, Data Engineer, or related degree. Experience in application development using Microsoft Power Apps (Canvas). Experience in data modeling, entities, and relationships in Microsoft Dataverse. Proficiency in reports and the DAX language. Experience in the design and implementation of automated workflows with Microsoft Power Automate. Proficiency in standard and custom connectors within the Microsoft Power Platform. Knowledge of business logic, expressions (Power Fx), and variable management in Power Apps. Integration with Microsoft 365 services (SharePoint, Outlook, Teams).

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. About Us: At CI&T, our rapid growth is fueled by the innovative solutions we create for our global clients. We are seeking a Data Analyst with a focus on data quality and reporting for a large-scale Finance data platform modernization at a major US mortgage lender — making sure the curated data and reports built on the new platform are correct and tie out to trusted Finance benchmarks. Pipeline-level monitoring and CI/CD are owned by the DataOps Engineer; this role is about the data and the numbers, not the pipeline mechanics. Responsibilities: Define and run data quality checks and reconciliation logic against the curated data layer, comparing results to approved Finance benchmarks and closed accounting periods. • Validate migrated and re-pointed reports and dashboards for parity against their prior legacy-source output, including parallel-run comparisons during cutover — running old and new side by side and confirming they tie out within a

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. About Us: At CI&T, our rapid growth is fueled by the innovative solutions we create for our global clients. We are seeking a Data Analyst with a focus on data quality and reporting for a large-scale Finance data platform modernization at a major US mortgage lender — making sure the curated data and reports built on the new platform are correct and tie out to trusted Finance benchmarks. Pipeline-level monitoring and CI/CD are owned by the DataOps Engineer; this role is about the data and the numbers, not the pipeline mechanics. Responsibilities: Define and run data quality checks and reconciliation logic against the curated data layer, comparing results to approved Finance benchmarks and closed accounting periods. • Validate migrated and re-pointed reports and dashboards for parity against their prior legacy-source output, including parallel-run comparisons during cutover — running old and new side by side and confirming they tie out within a

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About the Role: Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. What You’ll Do: Act as the primary technical contact for Securiti AI solutions during the sales cycle Lead technical discussions and deliver customized security solutions Address customer needs in data disco

About the Role At H&R Block, the CRM Data Manager is responsible for managing customer audience strategy, segmentation, data activation, and targeting execution that support marketing campaigns and customer lifecycle communications. This role combines CRM data expertise with marketing strategy, ensuring customer data is transformed into actionable audiences that drive engagement, retention, and revenue growth. This role partners closely with CRM Strategy, CRM Operations, Analytics, Technology, Go-to-Market (GTM), and Product teams to deliver customer-centric targeting solutions. The CRM Data Manager leverages first-party data, segmentation strategies, and marketing technology platforms to enable highly targeted communications across Salesforce Marketing Cloud (SFMC), Adobe Journey Optimizer (AJO), and related CRM channels. Day to day you'll... Develop and manage audience segmentation strategies that support acquisition, retention, cross-sell, and reactivation campaigns. Build and maintain target audiences for lifecycle, promotional, triggered, and seasonal CRM programs. Partner with CRM Strategy teams to translate marketing objectives into actionable targeting requirements. Collaborate with CRM Operations teams to ensure audiences are accurately delivered and activated for campaign execution. Define audience criteria, suppression logic, eligibility rules, and personalization requirements. Validate audience selections and targeting outputs to ensure accuracy and compliance

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Database Administrator to join our Infrastructure team and help build and maintain reliable, high-performance database systems at scale. You’ll work on challenging technical problems, drive improvements in database reliability and performance, and contribute to the infrastructure powering Tabby ’s growing business. Key Responsibilities: Design, construct, install, and maintain large relational databases. Maintain the integrity and security of the database, including backups and recovery procedures. Implement and manage disaster recovery and failover systems. Monitor database performa

Technical Lead | SQL | Snowflake | Tableau | AWS Build the Future of Data Solutions At Arkatechture , we believe data should empower better decisions. Since 2012, we've partnered with financial institutions across the country to solve complex data challenges through modern analytics, cloud technologies, and AI-powered solutions. Our mission is built on three simple pillars: Do something meaningful With a great team Earning what you deserve We're looking for an experienced technical leader who is passionate about solving complex data problems, mentoring others, and helping customers unlock the full potential of their data. If you enjoy writing SQL one minute, architecting a cloud data solution the next, and coaching teammates along the way, we'd love to meet you. The Opportunity As the Technical Lead, Data Analytics , you'll serve as the senior technical expert for a portfolio of enterprise customers while helping shape the future of our Support Services team. This is a hands-on technical leadership role, not a people manager who occasionally reviews code. You'll spend much of your time solving challenging SQL and cloud data platform problems, partnering directly with customers, mentoring analysts, and driving technical excellence across the organization. While this role is expected to grow into formal people leadership, your technical expertise, problem-solving ability, and customer partnership skills are what will make you successful from day one. Key Responsibilities Techni

The Data Entry Clerk compiles, sorts and completes data entry of source documents and information.Essential Functions: Processes source documents and information by reviewing data for deficiencies and resolving discrepancies by using standard procedures or returning incomplete documents for resolution Process the data entry of source documents in a timely and accurate manner Completes a variety of data entry and clerical tasks at the direction of management Maintains operations by following policies and procedures and reporting needed changes Perform any other job related instructions as requested Education And Experience High School Diploma or GED is required One year of experience in data entry is preferred Competencies, Knowledge And Skills Ability to perform data entry functions at 55 WPM preferred Basic proficiency with Microsoft Office Suite to include Outlook, Word and Excel Effective written and verbal communication skills Ability to work independently and within a team environment Strong organizational skills Ability to multitask Critical thinking and listening skills Customer service oriented Proper phone etiquette Time management skills Effective problem solving skills with attention to detail Effective listening and critical thinking skills Familiarity with the healthcare field and basic medical terminology Licensure And Certification None Working Conditions General office environment; may be required to sit or stand for extended periods of time Organization Level

About Accelerant Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit . We're looking for a Data Scientist to develop machine learning and AI systems that improve decisions across pricing, underwriting, portfolio management, operations, and claims. You'll work across structured data, text, documents, and external data sources, applying statistical modeling, modern machine learning, AI and agentic workflows to solve challenging real-world problems. The foundation of this role is serious quantitative modelling. We care about calibration, not just discrimination. We validate out of time and worry about leakage and drift. We quantify uncertainty and can tell you when a model should be trusted, when it shouldn't, and why. LLMs and agentic systems are a force multiplier on all of that and we measure those systems the way we'd measure any other model: on data they haven't seen, against a sensible baseline, with honest uncertainty around the result. You don't need an AI background t

Description Ledgebrook is an AI-native specialty insurance platform. When a business needs coverage that is custom and complex, its broker comes to us, and our underwriters give them an answer, often in hours rather than weeks. We built our technology from scratch, with AI in it from the first line of code. The technology helps price the risk; the underwriter uses their judgment to decide. There are always two hands on the wheel. We are insurance industry insiders, and we eat our own cooking: Ledgebrook writes the policy and shares the risk through our own carrier, Ledgebrook Specialty, rated A- (Excellent) by AM Best. We work exclusively through wholesale brokers. Our vision: to make the wheels of insurance spin faster. At Ledgebrook , everything we do is driven by our culture: Care, Strive, Thrive Together. To succeed in modernizing the industry, we must first succeed in changing the way we do business. Talent density is our north star—fewer, better people working together as one. To that end we’ve replaced all individual incentives with generous equity packages—we play as a team, we win as a team. Everyone benefits handsomely from Ledgebrook ’s success. Ledgebrook is seeking a Data Associate, Data Excellence to join our Product & Data team. On this team, you’ll lead analytical efforts to drive data informed decision-making across the entire organization by gathering, analyzing, and visualizing / presenting technical insurance data. As a Data Associate, Data Excellence,

About Us Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services. Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy: Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S. Continuous professional growth and leadership opportunities. Health, wellness, and financial benefits to offer peace of mind to you and your family. World-class facilities and the technology you need to thrive – in our offices or yours. Job Summary The Presales Solutions Engineer – Data Security will be a customer-facing, data security expert. They will take a consultative approach to security projects and have a holistic understanding of how security technology enables business. The Solutions Engineer will also develop and deliver new security services offerings to address customer requests/opportunities. This is a remote position required to reside in the TOLA region of the US as required for business needs and as determined by SHI management. Role Description Collaboration with multiple layers of contacts within client organizations, including but not limited to CIO, CSO, CISO, Security Engineers, and procurement to strengthen our overall customer relationship and

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

📋 Tasks and Responsibilities An integration team is looking for a mid-level Data Analyst to analyze, structure, and scale data exchange flows within the company and with its partners. The role involves studying information flows, proposing new exchanges or adaptations, transmitting analyses to implementation teams, and monitoring their deployment. After implementation, you will also ensure the operational tracking of the relevant flow or product. You will work on a daily basis with analysts, developers, testers, and architects, as well as with related teams. Main Activities: Analyze and model data flows between producer and consumer applications. Gather and analyze user requirements. Document existing data flows and objects (AS-IS). Propose and model the target state (TO-BE) taking existing integration standards into account. Formalize analyses into clear documentation for development teams. Present results concisely to business stakeholders, technical teams, and during sprint demos. Support the implementation of the relevant flows or products. Contribute to mapping data flows related to the integration layer. Take charge of analysis deliverables and keep documentation up to date. Participate in operational support during business days. Communicate

Sonepar Management Group (SMG) supports our Sonepar brands (i.e. operating companies) in the US through a shared services model. These services include, but are not limited to: human resources, finance, digital enterprise, supply chain, vendor relations, marketing, legal, and communications. The SMG teams enable our brands to do business in their local regions while taking advantage of the scale and collective resources of a global enterprise. SMG fosters an inclusive and supportive culture. We offer leadership and development programs to help you reach your career goals. Our associates share in our collective achievements, and we firmly believe that Sonepar is “Powered by Difference.” By driving technology and innovation, enabling paths to success, and caring about our people and their families, we have built a workplace where you can build a fulfilling career. As a Business Development Director- Data Center , you will be responsible for identifying, developing, and influencing strategic opportunities with hyperscale, colocation, and mission-critical customers. You will build executive-level relationships, develop early-stage project intelligence, and collaborate across the organization to position Sonepar as a preferred partner in the data center market. What You'll Do Develop Strategic Customer Relationships Build and maintain relationships with hyperscale data center operators, large colocation providers, procurement teams, engineering firms, general contractors, and othe

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

This is a remote position. Only LATAM-based candidates (bilingual in Spanish and English) My VA Support is currently seeking a Data Entry & Accounting Analyst with a high level of English proficiency (C1) for a full-time remote position. This role requires a 45-hour work week. Key Responsibilities: Transferring data from paper formats into computer files or database systems using keyboards, data recorders, or optical scanners Typing in data provided directly from customers Creating spreadsheets with large numbers of figures without mistakes Verifying data by comparing it to source documents Updating existing data Retrieving data from the database or electronic files as requested Performing regular backups to ensure data preservation Sorting and organizing paperwork after entering data to ensure it is not lost Please note, as an independent contractor, you will be responsible for making all necessary contributions to your local or state government (such as income taxes, social security, health insurance, etc.). Requirements To succeed in this role, you must have a strong understanding of: Financial Skills (particularly in a Spreadsheet environment) Microsoft products like Word, Excel, PowerPoint (Microsoft Office) Google apps such as Gmail, Meet, Docs, Sheets, Forms, Slides, etc., and you must be comfortable using them. Other requirements include: 1+ years of experience as a data entry specialist Accounting experience English proficiency at C1 level Own device and headset